Presenting
authorname
AfonsoFerreira

Additional authors'
information
Prof
Brito, Ana, C.
she/her
MARE – Marine andEnvironmental
Sciences Centre,
Faculdade deCiências,
Universidade deLisboa, Lisbon,
PortugalProf
Mendes, Carlos, R.B.
he/himLaboratório deFitoplâncton e
Microorganismos
Marinhos, Instituto de
Oceanografia,
Universidade Federal
do Rio Grande, Rio
Grande, Brazil;
Laboratório deEstudos dos Oceanos
e Clima, Instituto de
Oceanografia,
Universidade Federal
do Rio Grande, Rio
Grande, Brazil

Abstract Title(Maximum 140
characters)
OC4-SOalgorithm:
improvingsatellite
retrievals ofchlorophyll a in
the Antarctic
Peninsula

Abstract Text

SlidesVideo

Remote sensing of chlorophyll a (chl-a; a proxy of phytoplankton biomass) is
as an essential tool for monitoring marine ecosystems, particularly for polar
regions where in-situ data availability is very limited. For the Southern
Ocean, however, the current global chl-a algorithms tend to underestimate
chl-a, preventing accurate retrievals of chl-a. This work sought to develop a
new chl-a algorithm for the Antarctic Peninsula and to assess potential
drivers of chl-a underestimation in this region. OC4-SO, the algorithm
developed and presented here, exhibits the following advantages: i)developed using a 20+ years and spatially thorough in-situ HPLC-derived chla dataset; ii) based on a multi-sensor product, which are expected to be
increasingly popular as the number of operating satellites increases; iii)
adequately corrects for chl-a underestimation, now allowing for theassessment of the Antarctic seasonal cycle which was not previously possibleusing global algorithms; and v) exhibits a good performance for Antarctic
waters outside of the Antarctic Peninsula. Low particulate backscattering
coefficients in the green region of the light spectrum were seen to be main
factor linked to chl-a underestimation in high chl-a waters, corroborating
previous works. Overall, the OC4-SO can be a valuable tool for ocean colour
remote sensing in Antarctic waters, enabling more accurate estimates of chla and contributing to a better understanding of this ecosystem’s role to theglobal biogeochemical cycle.

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erreira.pdf

https://youtu.be/Z6P2eOzqPs

Prof
Brotas, Vanda
she/her
MARE – Marine andEnvironmental
Sciences Centre,
Faculdade deCiências,
Universidade deLisboa, Lisbon,
PortugalMr
Costa, Raul
he/himLaboratório deFitoplâncton e
Microorganismos
Marinhos, Instituto de
Oceanografia,
Universidade Federal
do Rio Grande, Rio
Grande, Brazil;
Laboratório deEstudos dos Oceanos
e Clima, Instituto de
Oceanografia,
Universidade Federal
do Rio Grande, Rio
Grande, Brazil
Dr.
Guerreiro, Catarina
she/her
MARE – Marine andEnvironmental
Sciences Centre,
Faculdade deCiências,
Universidade deLisboa, Lisbon,
PortugalDr.
Sá, Carolina
she/herDr.
Jackson, Thomas
he/himPlymouth Marine
Laboratory, Prospect
Place, Plymouth PL1
3DH, United Kingdom.

Alex J. Tate

Continued
development ofa datamanagement
system for the
new UK polar
research vessel,
the RRS Sir David
AttenboroughThe new UK polar research vessel, RRS Sir David Attenborough, is currently
undergoing tests and trials before deploying to the Antarctic in late 2021.
The vessel hosts a wide array of scientific instrumentation and as a marine
platform will deploy a range of remotely-operated data gathering
equipment, both marine and airborne. The resulting datasets are bothcomplex and voluminous and their management and availability need tofulfil the requirements of a wide range of end users from cruise participants
to global data archiving facilities.
The UK Polar Data Centre, based at the British Antarctic Survey, is leading on
the development of the scientific data management systems aboard the newvessel. Major areas of focus include; data and event logging, datavisualisation and access, automated quality control routines and sensor
metadata.
The presentation will provide an update on these major focus areas as wellas an up-to-date overview of the scientific instrumentation currently beingcommissioned on the vessel and the types of data that are now being
routinely collected.

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https://youtu.be/
kWGbrmFuhxg

AliceFremandMr
Bodart, Julien
he/himUK Polar Data Centre- British Antarctic
Surveyjulart@bas.ac.uk

Improving
FAIRness ofaerogeophysics
datasets at the
UK Polar Data
CentreThe UK Polar Data Centre (PDC, https://www.bas.ac.uk/data/uk-pdc/) is the
focal point for Arctic and Antarctic environmental data management in the
UK. Part of the Natural Environmental Research Council’s (NERC) network ofenvironmental data centres and based at the British Antarctic Survey (BAS),
the PDC coordinates the management of polar data from UK-funded
research and supports researchers in complying with national andinternational data legislation and policy. Reflecting the multidisciplinary
nature of polar science, the datasets handled by the data centre are
extremely diverse.
Aerogeophysics data, including aeromagnetics, aerogravity and radar echosounding data, are a key asset to the geoscience and glaciology community
as they provide crucial information about the Earth’s geological structure
and ice thickness, and thus contribute directly to our understanding of thesea-level-rise potential of the Antarctic Ice Sheet. Improving Findability,
Accessibility, Interoperability and Re-use (FAIRness) of these data is thus at
the core of PDC’s mission. In the last two years, significant progress has been
made to improve the management of BAS aerogeophysics data, achallenging task considering that BAS is one of the largest acquisitors ofairborne geophysics data over Antarctica. In 2020, we published bedrock
elevation data for fourteen airborne radar surveys and more than thirty
airborne gravity and magnetics datasets over Antarctica. This year, we will
release large swaths of airborne radar data collected by BAS over the lasttwo decades. This includes extensive surveys over Pine Island and Thwaites
glaciers, two catchments that have received considerable attention in recent
years due to their potential to affect sea-level-rise on a global scale.
In order to encourage the reuse and increase the value of these data, we
also participate in a large variety of scientific research projects
internationally. For instance, the wide coverage of airborne radar echosounding over Antarctica is crucial for the SCAR Action Group BEDMAP3
project which aims to produce new maps of Antarctic ice thickness and bed
topography. We hope this work will greatly benefit the geophysical andglaciological community and serve as a successful example of an effective
partnership between scientists and data managers.

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https://youtu.be/hVXYIqI_
NY

Amber E.
BuddenMr.
Jones, Matthew, B.
he/him/his
National Center for
Ecological Analysis
and Synthesis
University ofCalifornia, Santa
Barbara1021 Anacapa St
Santa Barbara, CA,USA
jones@nceas.ucsb.eduMr.
Jones, Chris, S.
he/him/his
National Center for
Ecological Analysis
and Synthesis
University ofCalifornia, Santa
Barbara1021 Anacapa St
Santa Barbara, CA,USA
cjones@nceas.ucsb.eduMs.
Walker, Lauren
she/her/hers

Spotlighting
Arctic Data
Collections with
the DataONE
Portals
Infrastructure

Federation across large numbers of diverse, geographically dispersed, datarepositories supporting Arctic research data provides significant advances fordiscovery, accessibility and reuse. However, Arctic data are preserved acrossa broad collection of repositories including domain specific repositories,
generalist repositories and institutional repositories that also hold significant
collections of data not related to the Arctic. Consequently, while federated
networks enable data to be discovered from a single location, the level ofprecision and specificity required for specialist fields cannot be met using ageneric search.
At DataONE, we provide portal infrastructure to enable organizations,research groups, and collaborations to build customized data discovery
portals that collate and present a curated subset of the full data catalog. For
example, researchers have created portals to organize data on thecircumpolar active layer (CALM), for settlement and historical church surveys
in Iceland, and to collate research products from the Toolik Field Station in
Alaska. These data portals incorporate user defined search queries across all
metadata fields, enabling portal creators to build faceted search terms thathave direct relevance to their research community and the data they are
exposing. Portals include customizable branding options to effectively
represent the organization or research collaboration, and free text pages fordescriptive content. In addition to the rich search and discovery capabilities,
portals include FAIR assessment of metadata quality and aggregated data
usage and citation metrics.
The current release of data portals reflects the outcome of ongoing usability
assessment and community engagement. Portal development is informed byuser experience feedback and recent focus groups have provided additional
insights in how the community use, and want to extend, these services. In
this talk we will provide an overview of the portal features and futurefunctionality, in addition to describing our design process and opportunities
for interaction.

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https://youtu.be/bzUoPftD
rhs

National Center for
Ecological Analysis
and Synthesis
University ofCalifornia, Santa
Barbara1021 Anacapa St
Santa Barbara, CA,USA
walker@nceas.ucsb.eduMs.
Thiessen-Bock, Robynshe/her/hers
Consultant
Toronto, Ontario,
Canadathiessenbock@nceas.
ucsb.edu

Ms.
McLean, Erin.
she/her/hersNational Center for
Ecological Analysis
and Synthesis
University ofCalifornia, Santa
Barbara1021 Anacapa St
Santa Barbara, CA,USA
mclean@nceas.ucsb.eduAnton Vande Putte

The SCAR
Antarctic
Biodiversity
PortalThe SCAR Antarctic Biodiversity Portal (biodiversity.aq) is an international
effort that seeks to increase our knowledge and understanding of Antarctic
and Southern Ocean biodiversity. It is a community of researchers, data
custodians and developers from around the world that supports themobilisation publication, retrieval and analysis of Antarctic and Southern
Ocean biodiversity data in a free and open manner in line with the Antarctic
treaty and the FAIR data Principles (Finable, Accessible, Interoperable,
Reusable). Here we provide a general overview of the services offeredthrough Biodiversity.aq.

https://polardataforum.or
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4_biodiv
ersityaq.
pdf

https://youtu.be/
cvY9LIq8110

Antonio
Novellino

Pouliquen Sylvie,
IFREMER, ZI de la
Pointe du Diable,
29280 Plouzane,
FRANCE
Buch Erik, EuroGOOS,
Rue Vautier 29, 1000
Brussels, Belgium
Gorringe Patrick,
SMHI, Folkborgsvägen17, 601 76
Norrköping, Sweden

The EMODnet
Physics Arctic
Data Portal

Climate change presents a major and growing challenge to the Arctic region,
producing risks as well as opportunities. Access to accurate data andinformation has therefore never been more important to better understandcritical physical, biogeochemical and biological processes.
The spatial coverage of observing systems in the Arctic is scattered in timeand space. Existing observations are of varying quality and made available ondifferent timescales. Furthermore, a major part of marine observations are
funded via fixed-term research projects, of which only one third openly
share their data. In this context, EMODnet (Physics, Data Ingestion),
Copernicus Marine Service In Situ Thematic Center (CMEMS INSTAC),
Copernicus In Situ Coordination Group and EuroGOOS have joined efforts toestablish a dedicated marine Arctic data portal with the purpose to:- Ease access to open and free marine Arctic in-situ data
- Foster integration in European data aggregator infrastructures (CMEMS,
EMODnet and SDN)
- Unlock existing data from a variety of projects and initiatives not yet freely
and openly exchanged- Provide support to share data through existing European data aggregators- Provide visibility to existing observing system platforms sharing data in the
Arctic region
In November 2020, the Arctic Data Portal (https://arctic.emodnetphysics.eu/), implemented under EMODnet Physics, was launched. It
provides straightforward access to circumpolar datasets and metadata
records from European data aggregators (CMEMS, SDN, EMODnet, Pangea)
and other sources. The portal is composed of a map interface displaying the
spatial distribution of observing platforms, a tool selecting by parameter andtype of observing platform and plotting tools for displaying the datasets. The
Arctic portalis similar to the SOOS-map portal that EMODnet Physics set up
in collaboration with the Southern Ocean Observing System (SOOS). This has
greatly improved access to key Southern Ocean datasets.

https://polardataforum.or
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IV_oral_8_Novellino.pdf

https://youtu.be/h1ht_hMuz_gAntonio
Novellino

Dr Colombo Federica(she), ETT SpA, Via
Enrico Albareto 21,
16153 Genova, Italy
Mr Alba Marco (he),ETT SpA, Via Enrico
Albareto 21, 16153
Genova, Italy
Dr Sallée JeanBaptiste (he),Sorbonne Universités,
UPMC University,
Paris 06, UMR 7159,
LOCEAN-IPSL F-75005,
Paris, France
Dr Lecornec Amelie(she), Sorbonne
Universités, UPMC
University, Paris 06,
UMR 7159, LOCEANIPSL F-75005, Paris,
FranceSO-CHIC: a data
infrastructure for
the Antarctic
community

The project SO-CHIC (Southern Ocean Carbon and Heat Impact on Climate)aims at improving our understanding of the heat and carbon exchanges
between the atmosphere and the deep ocean, by quantifying their fluxes at
the air-sea-ice interface and estimating interannual variability of heat andcarbon storage in the Southern Ocean. SO-CHIC brings together old and newobservations, and makes these observations openly accessible to maximise
impact on climate reports, services, and models.
New observations are being collected by means of several platforms (e.g.,autonomous surface vehicles, ships and floats and, under ice floats, fixedstations, gliders and deep gliders, etc.). These observations also include
parameters, such as radiative and turbulent surface flux, latent heat, fCO2,
etc. that should be available together with classical parameters andaccessible from a single one stop shopping system. Therefore SO-CHIC isdeveloping a specific data management infrastructure and a data portal tomanage and offer these variables, making data and metadata available
without any restriction to all interested third parties, including the
integration into projects and initiatives such as EMODnet, CMEMS,
SeaDataNet. SO-CHIC data management infrastructure also candidates itself
to be the new SOOS data management backend.
This new infrastructure consists of a data buffer that links/harvests datafrom operational sources and where data can be pushed by data providers
and a cluster of metadata and data publishing tools (GeoNetwork, GeoServerand ERDDAP) to expose metadata and data according FAIR principles.
On top of this backend a mapviewer allows general users to search for databy parameter, platform, supporting project, together with applying temporaland spatial filters.
Acknowledgments: SO-CHIC project (http://www.sochic-h2020.eu/) has
received funding from the European Union’s Horizon 2020 research andinnovation programme under grant agreement #821001.

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https://youtu.be/0jLCvvbKrDQ

Christina
Bienhold

Mr.
Matomo Niwano
HGF-MPG Group for
Deep Sea Ecology andTechnology
Max Planck Institutefor Marine
Microbiology
Bremen, Germany
matomo.niwano@gm
ail.comDr.
Matthias Wietz
HGF-MPG Group for
Deep Sea Ecology andTechnology, Alfred
Wegener InstituteHelmholtz Center for
Polar and Marine
Research
Bremerhaven,
Germany
Matthias.Wietz@awi.
deMs.
Raïssa Meyer
HGF-MPG Group for
Deep Sea Ecology andTechnology, Max
Planck Institute forMarine Microbiology

From locally to
globally FAIRified(meta)data
management:
Reflections andoutcomes froman Arctic
Molecular
Observatory

High-quality (meta)data management begins long before deposition in largescale archiving services. All research and operations personnel must sharecustodianship of (meta)data as part of contemporary research culture,
allowing its value to be secured and rapidly realized.
To this end, we have established a (meta)data management approach whichlinks the Frontiers in Arctic Marine Monitoring (FRAM) Programme’s
Molecular Observatory to global digital ecosystems. The Observatory
monitors microbial community dynamics across latitudinal, depth, andtemporal gradients, providing valuable information from a remote andrapidly changing region. It is thus crucial to preserve high-quality and rich(meta)data, such that it can be discovered, understood, and re-used by
future generations.
Our approach centers on a simple relational metadatabase, which structuresand validates environmental, contextual, and procedural metadata
generated from the field, through the lab, to the in-silico processing andarchiving of FRAM’s multi-omic sequence data. Above the technology, weemphasize the metadatabase’s design, which aligns our local metadata –from its creation – with institutional archives, community standards, anddata stored in international archives (e.g. the European Nucleotide Archive
and PANGAEA).
This local solution supports operational-grade data stewardship within
FRAM, while supporting global interoperability by exporting (meta)datacompliant with specifications such as the MIxS (Minimum Information aboutany (x) Sequence) developed by the Genomic Standards Consortium (GSC).
To boost interoperability further, we are leading an effort to align MIxS to
the Darwin Core specification. We also support our personnel’s pursuit ofcompliance and accuracy by pre-selecting appropriate Arctic and deep-sea
content from more complex components of such standards. We stand readyto produce additional exports to connect our holdings with other global
standards and interoperability frameworks, such as UNESCO’s Ocean Dataand Information System.
Here, we present the status and reflections on our multi-pronged approachto practically FAIRifying data in an Arctic molecular observatory.

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https://youtu.be/t4s4QgIV
zbk

Bremen, Germany
rmeyer@mpibremen.deDr.
Pier Luigi Buttigieg
Helmholtz Metadata
Collaboration,
GEOMAR Helmholtz
Center for Ocean
ResearchKiel, Germany
Pier.Buttigieg@awi.de

Christopher
S. Jones

Ms.
Walker, Lauren
she/her/hers
Arctic Data Center NCEAS
University ofCalifornia, Santa
BarbaraSanta Barbara, CA,USA
walker@nceas.ucsb.eduMs.
Thiessen-Bock, Robynshe/her/hers
Consultant
Toronto, Ontario,
Canadathiessenbock@nceas.
ucsb.edu
Mr.
Jones, Matthew, B.
he/him/his
Arctic Data Center NCEAS
University ofCalifornia, Santa
BarbaraSanta Barbara, CA,USA

The Permafrost
Discovery
Gateway Portal:
Enhancing
online, panArctic
visualization andexploration ofhigh resolution
permafrost data

The Permafrost Discovery Gateway (PDG) project is building scalable
cyberinfrastructure to help researchers understand the extent, spatiotemporal variations, and impact of pan-Arctic permafrost thaw and otherphenomena. We present the PDG portal, an online application that provides
interactive visualization, exploration, and access to geospatial permafrost
data products derived from high-resolution satellite imagery (Big Imagery).
The portal leverages many existing software technologies, and builds uponthem using standard and emerging geospatial processing tools andtechniques. The PDG portal is built using the open source DataONE Portal
system to allow easy customization of the application. It provides multiple
interactive viewers including the Fluid Earth Viewer, which enables global
and regional visualization of Arctic data products over time, and a Cesiumbased Imagery Viewer that facilitates exploration of pan-Arctic, sub-metermap products over time. A Plot Viewer is also planned that will facilitate
interactive data analysis where researchers can produce their own 2D and
4D graphs from the derived Big Data layers being produced by the PDG
machine learning workflows. We discuss our initial data layer example ofpan-Arctic ice-wedge polygon data derived from sub-meter imagery andprocessed into both raster and vector tiles that allow for performant panningand zooming using the Imagery Viewer. We present the challenges ofcreating a generic workflow that can be used to prepare tile layers acrossmultiple input data formats, the indexing involved in making the data
accessible for analysis online, and the workflow needed to provide access tothe original layer data for download and further analysis through acustomized search interface for the NSF Arctic Data Center archive.

https://polardataforum.or
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https://youtu.be/
5y7Xb5s
uPr0

jones@nceas.ucsb.ed
uDr.
Budden, Amber E.
she/her/hers
Arctic Data Center NCEAS
University ofCalifornia, Santa
BarbaraSanta Barbara, CA,USA
aebudden@nceas.ucs
b.eduDaniela
AccettellaProf.
Savini Alessandra
She
DEPARTMENT OF
EARTH ANDENVIRONMENTALSCIENCES - DISAT
Università degli Studi
di Milano-Bicocca
Italy
alessandra.savini@uni
mib.itISOBatA: Italian
Pilot project for
the exploitationof underway
seafloor datasetsin the Antarctic
region andsurrounding
areas.

ISOBATA is a recently approved PNRA (Italian National Antarctic Reasearch
Program) Following the example of USA and German research vessels
example (Wölfl et al.2019), Isobata designed a systematic approach toefficiently exploit seaﬂoor data sets collected within the Antarctic region,
during transit times of the renewed Icebreaker R/V Laura Bassi (former E.
Shackleton). International scientific exchanges will be critical in defining bestpractices and standardized protocols for collecting high-quality multibeam
and underway data during transit time in the Ross Sea and surrounding Area.
Optimizing opportunistic data collection will aim to provide supranational
scientific products in order to highlight the key role of underway data inremote regions. The project takes into account the need to store all acquired
data and metadata, a final project output will be the establishment of an
Italian Antarctic Bathymetric Data Repository integrated with the PNRA
National Antarctic Data Center (NADC). This will constitute the nationalreference for the implementation of the “Hydrographic Surveying of
Antarctic Waters Working Paper”, in support of the Seabed 2030 project(Jakobsonn et al 2017, Mayer et al. 2018). High-standard protocols and bestpractices will primarily inform data acquisition, processing andinterpretation. Data collection plan has been designed promoting the
optimization of resources with an effective saving in the use of
infrastructural and logistic support. . Mapping the Southern Ocean by 2030
will require long-term projects; at his natural end, ISOBatA research units will
work to ensure that all the gathered know-how, database and international
collaborations will continue as a Multidisciplinary Observatory Underway
Project (MIMOSA – Multidisciplinary Italian Marine Observatory For the
Study of Antarctic). ISOBatA fulfil SCAR, CONMAP, IHO and Seabed 2030
guidelines.

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IV_oral_D.Accettella.pdf

https://youtu.be/Z3sIOI8m
hDk

DavidArthurs

Peter Pulsifer
Sandy Starkweather

Arctic Data
Systems in the
ROADS Process

The crafting of the Sustaining Arctic Observing Networks’ (SAON) Roadmap
for Arctic Observing and Data Systems (ROADS) has made significant
progress. It sets out a multi-phase process and governance structure fordefining Shared Arctic Variables (SAV) that will provide benefits across awide range of stakeholders and scales. However, the focus so far has beenon observing systems and work remains to define the data systems portionof ROADS.
This presentation will examine how the ROADS guiding principles the have
evolved for Arctic Observing Systems might be applied to Arctic Data
Systems. Elements of those principles include:§ Indigenous Peoples’ equitable partnership and funding for their active
participation is critical to ROADS from its inception through its
implementation;§ All aspects of the ROADS process should support broadly shared benefit
from the observing and data systems;§ The ROADS process should complement and integrate, without wasteful
duplication, the current planning approaches used by existing networks(regional to global), activities and projects;§ ROADS should support stepwise development through a flexible,
federated and evolving structure that allows grassroots identification ofthemes, infrastructures and regional foci.
Challenges for Arctic Data Systems that will considered in this context
include:§ Improving coordination among funders.
§ Enhancing global data communities and governance structures.
§ Supporting data community building, coordination, and engagement.
§ Ensuring long-term support for data management and curation.
§ Engaging with and enhancing existing activities rather than creating new
initiatives.
§ Facilitating a change in attitude from proprietary data to data as acommon good.
§ Improving education and training in data science.
§ Building on interoperable standards and ethically open and FAIR data
principles.
§ Involving and respecting the perspective of Indigenous peoples in data

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https://youtu.be/vwF_Nk
wTXs

collection and management.
§ Embracing cloud platforms and new analytical techniques (e.g., AI).

Ekaterina
Kim

Data Use Cases:
Applying AI and
Data Science
Tools to Optical
Images and AIS
Data from the
ArcticThere are extreme challenges unique to the Arctic, from human activities
and impacts in remote Arctic locations to Arctic data acquisition, sharing,and quality. The amount of Arctic data is growing. In fact, this growth isfaster than the capacity of experts to process, adequately validate, andevaluate all uncertainties in the data. Ocean sciences and maritime industryoriented applications in the Arctic regions can benefit from learning on
previous data and from cross-disciplinary expert knowledge. Despite rapid
progress in artificial intelligence (AI) and data science, AI applications to
Arctic science, engineering, and technology (e.g., automated validation of
remote sensing data from the Arctic, learning from past humans’ activities in
the ice infested waters) have received less scientific attention in comparison
to the fields of finance, logistics, medicine, advertisement, etc. This
worldwide trend may be attributed to the data quality, availability, and theexpertise that is needed to process these data. There is a strong need todirect AI applications towards solving Arctic challenges. In this talk I would
like to present two examples on how artificial intelligence can help in
automated interpretation of ice imagery from ground operations (e.g.,
imagery from surface vessels, shore stations, in-situ campaigns) and how it
can help us in learning from historical AIS data (e.g., from the Kara Sea
region). Data processing algorithms underlying the presented examples havebeen made publicly available on GitHub (i.e., ice image classification, ice
image segmentation, and AIS data processing).

https://polardataforum.or
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IV_oral_Ekaterin
a_Kim.pdf

https://youtu.be/Zqo_VaU
gfGw

Frank O.
NitscheDr.
Tinto, Kirsteen(she/her)Lamont-Doherty
Earth Observatory ofColumbia University
Palisades, NY, USA
tinto@ldeo.columbia.
edu
Dr.
Neville, Shane(he/him)Lamont-Doherty
Earth Observatory ofColumbia University
Palisades, NY, USA
nshane@ldeo.columb
ia.eduDr.
Carbotte, Suzanne(she/her)Lamont-Doherty
Earth Observatory ofColumbia University
Palisades, NY, USA
carbotte@ldeo.colum
bia.eduImprovingfindability andaccessibility oflong-tail data
through the US
Antarctic
Program data
CenterThe US Antarctic research community has developed disciplinary repositories
with excellent tools for specific datasets. Many datasets do not fit into these
disciplinary repositories, but provide valuable, often unique data that would
otherwise be difficult to preserve or find. The US Antarctic Program Data
Center (USAP-DC) is funded by the National Science Foundation (NSF) andprovides services to help scientists document, preserve, and disseminate all
Antarctic research data including those for which no disciplinary repository
exists. Thus, these datasets are preserved for future access. We provide DOIs
for these datasets, and increase findability and visibility of the dataset bysharing through various data portals including the Antarctic Master
Directory, DataOne and serving of schema.org in dataset landing pages. We
recently improved our search interface to include a better map-based search
option on the USDAP-DC web page.
USAP-DC also maintains project pages for NSF awards and for a groups ofcollaborative research awards that include basic information of theseprojects and provide links to datasets hosted by different repositories
including those hosted at USAP-DC. This improves findability of data linked
to specific projects even if they are distributed across different repositories.

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IV_oral_Nitsche_usapdc.pdf

https://youtu.be/
7RBSKHR
L8v4

Giulio
Verazzo

Chiara Ripa

Italian polar dataarchives: current
state and future
perspectives

The National Antarctic Data Center (NADC) is the ICT infrastructure designed
to gather, handle, publish and provide access to the wide amount ofscientific data and metadata collected by the large research activity
promoted and supported by the Italian Antarctic National Research Program(PNRA). This integrated system is organized in functional/first level nodesinterconnected together with each other by means of mediation andadaptation services running on a central infrastructure (common node).
International standard interfaces and metadata models, widely supported byscientific communities, were used in order to provide the bestinteroperability within/inside the system. This infrastructure adopts andpromotes Open Science (European Commission, 2016) according to the
Findable, Accessible, Interoperable, and Re-usable (FAIR) guiding principles,
providing easy access to data and resources and favouring their sharing. The
open source software GeoNetwork was chosen as the system for the NADC
purpose. It allows the management of metadata of scientific projects
concerning biology, climatology, radiation and environment that characterize
the activities carried out by Italian organisations/entities in Antarctica.
Metadata records are defined by the ISO19115-3 standard format andvalidated against the INSPIRE rules. The hierarchical structure of themetadata format allows to trace the information related to the projects inwhich the datasets have been collected and to correlate the various
initiatives with each other. With a similar approach an infrastructure tocatalogue and manage the Arctic data (IADC -Italian arctic data centre) isunder development in the framework of the the Italian Arctic Research
Programme (PRA), also intending to realize a repository for all activities
performed in the Arctic by Italian Research groups, mainly those with a longterm observation character. Detail on the status of both infrastructures,
technical choices, perspectives and future plan will be provide.

https://polardataforum.or
g/wpcontent/
uploads/
2021/09/09_PDF
IV_oral_giulioverrazzo-chiararipa.pdf

https://youtu.be/q84rgWg
AUXM

Jasmine
J.M. Lai

Author title (e.g. Ms.,
Mr, Prof.): Dr.
Last Name, First
Name, Middle Initial:
Schildhauer, Mark P.
Author pronouns: he,him, his
Department(optional): Arctic Data
Center, NCEAS
Institution (required):
University ofCalifornia, Santa
BarbaraStreet Address(optional)
City, State, Country(required): Santa
Barbara, CA, USAe-mail address(optional):
schild@nceas.ucsb.ed
uAuthor title: Ms.
Last Name, First
Name, Middle Initial:
Csik, Samantha, R.
Author pronouns:
she/her
Department:
National Center for
Ecological Analysis
and Synthesis
Institution: University

Building acustom ontology
to enable
advanced searchcapabilities for
MOSAiC
expedition
datasetsarchived in the
Arctic Data
CenterIn October 2020, the Multidisciplinary drifting Observatory for the Study ofArctic Climate, “MOSAiC” expedition, completed a year-long data collection
effort, contributing to our understanding of climate processes in the Central
Arctic, and more generally, global climate change. The Arctic Data Center(ADC) has since worked with MOSAiC researchers to archive, in a custom
data portal, all of the USA’s National Science Foundation-funded data
products and corresponding metadata records collected during the
expedition (https://arcticdata.io/data-portals/).
To facilitate greater data findability and interpretability, the ADC team built
a MOSAiC ontology (i.e. a controlled vocabulary expressed in RDF/OWL) toformally define and inter-relate terms, that were then used to semanticallyannotate the “native” terminology used by researchers in describing MOSAiC
metadata. The ontology reduces search ambiguity and increases theprecision of search efforts, enabling users to better understand the meaningof terms, and refine their searches.
The MOSAiC ontology serves as a case study for building custom, projectspecific ontologies to improve data transparency and findability. In addition,
due to its standard format and open schema, the MOSAiC ontology can beeasily shared, revised, and extended to accommodate new types of
information, or new interpretations of the data contents; and used forannotation without requiring changes to the underlying data or data
structures. As a standardized vocabulary, the MOSAiC ontology could be
used to annotate all MOSAiC datasets, allowing for enhanced
interoperability across the three international repositories (PANGAEA, ARM
and ADC) holding MOSAiC data. Alignment of MOSAiC terms with broader
community ontologies, such as the Environment Ontology, EnvO, or the
NERC vocabulary, would further increase the findability and reusability ofthese invaluable MOSAiC data resources.

https://polardataforum.or
g/wpcontent/
uploads/
2021/09/16_PDF
IV_oral_JasmineLai.pdfhttps://youtu.be/359efmT
B0kA

of California, Santa
BarbaraStreet Address(optional):
City, State, Country:
Santa Barbara, CA,USAe-mail address:
scsik@nceas.ucsb.edu
Author title (e.g. Ms.,
Mr, Prof.): Mr.
Last Name, First
Name, Middle Initial:
Mecum, Bryce, D.
Author pronouns:
He/him
Department(optional)
Institution (required):National Center for
Ecological Analysis
and Synthesis
Street Address(optional)
City, State, Country(required): Santa
Barbara, CA, USAe-mail address(optional):
mecum@nceas.ucsb.
edu
ORCID:
http://orcid.org/0000-0002-0381-3766

Jean
Baptiste
Barré

Ms.
Anne Chapuis
she/her
IGE
Grenoble,Franceanne.chapuis@univgrenoble-alpes.fr
Ms.
Amélie Batailleshe/her
IGE
Grenoble,France
amelie.bataille@univgrenoble-alpes.frMr.
Gaêl Durandhe/himIGE
Grenoble,France
gael.durand@univgrenoble-alpes.fr

Customized data
workflow for aninterdisciplinary
research project.

The EU-funded PROTECT project aims to assess and project changes in theland-based cryosphere in order to produce robust global, regional and local
projections of Sea Level Rise (SLR) on a range of timescales. The project
brings together SLR and cryosphere communities, whose contributions arestrongly interdependent. This implies an effective data workflow that has
been designed specifically for PROTECT although it can be reproduced inother projects. The workflow relies on a sequence of two processes. Theinternal collaboration process corresponds to the successive steps followedby the workdata: preparation, processing and sharing between partners.The
preparation and processing cycles can be managed on the project server,
providing an available and secure space for the partners data. The sharing
cycle is supported by the project data portal developed for that purpose. The
data portal is built on top of the open-source data platform CKAN. Partners
have in particular the ability to share their datasets using metadata, avoiding
unnecessary large file transfers. Access to working data is limited to theconsortium through access rights. The second process corresponds to thedata opening to enhance exploitation of the PROTECT results. It follows
closely the FAIR principles and is supervised by the PROTECT scientificsteering committee. It proposes among others to make the data available on
the EU Zenodo platform and to attach the datasets to the PROTECT Zenodo
community to ensure better visibility. This workflow has been set up by the
project data manager.

https://polardataforum.or
g/wpcontent/
uploads/
2021/09/44_PDF
IV_oral_barre.pdfhttps://youtu.be/
ZtCfW9v
ZdDE

Jennifer P.
SevadjianDr
Wilson, Cara
she/hers
NOAA Southwest
Fisheries Science
CenterMonterey, CA, USADr.
Robinson, Dale
he/his
University ofCalifornia, Santa Cruz
Santa Cruz, CA, USA

PolarWatch:
Overcoming
common data
accesschallenges toprovideoceanographic
satellite remotesensing data forthe polar regions

PolarWatch is the NOAA CoastWatch node focused on the distribution ofoceanographic satellite data for Arctic and Antarctic waters. PolarWatch
serves both near real-time and historical satellite data, including
measurements of sea ice cover, ocean temperature, ocean color products,
and winds. Important complementary in-situ datasets are also provided
through PolarWatch, including data from BioGeoChemical-Argo floats andthe International Arctic Buoy Programme. Additional sea ice data sets andSAR data will be added in the coming year. Data served through PolarWatch
are easily previewed with Arctic, Antarctic or global projections using theonline PolarWatch data catalog. Data are easily accessible through the
PolarWatch ERDDAP data distribution system. Like all CoastWatch nodes,
PolarWatch is a value-added provider, not just providing data, but also
helping users to access data by developing tools and tutorials for easier data
access, providing training and hands-on assistance, finding or creating data
products to address user needs, and working directly with users on projects.
In this presentation we will provide an overview of the data and services
provided by PolarWatch.

https://polardataforum.or
g/wpcontent/
uploads/
2021/09/21_PDF
IV_oral_JSevadjia
n.pdf

https://youtu.be/hc8wqLE
5kEk

Jill S.
Prewitt

A data tool forplanning,
prevention, andresponse tointernational
maritime
incidents in the
Bering Strait

Vessel traffic through the Bering Strait is increasing, and is expected tocontinue increasing as sea ice decreases and the open water season
lengthens. With this increased vessel traffic comes increased risk of marine
accidents and oil or other contaminant spills in the area. However, this area
also has a lack of infrastructure and resources to respond to incidents of thisnature, and has transboundary communication and data sharing challenges
between Russian and US authorities. For example, the US Arctic
Environmental Response Management Application (Arctic ERMA), the US
online and field data tool that is used for both planning, prevention andresponse actions, is stored on US Government servers (i.e., NOAA) and not
currently accessible by Russian authorities. For these reasons, there is a needfor an oil spill response tool that is accessible by both US and Russianauthorities in the event of an oil spill - or some other contaminant spill - inthe Bering Strait area. The Bering Strait Transboundary Incident Response
Tool will co-locate relevant data from the Russian and the US sides of theBering Strait, as well as the northern Bering and southern Chukchi Seas. The
final product will allow for both Russian and US authorities and scientists toaccess the same data and to share the same visualizations of the area within
the Bering Strait region. This information is valuable not only for a potential
response to an emergency event such as an oil spill, but will be useful as apublic information resource to a broader group of interested parties on bothsides of the EEZ, including coastal communities, conservation groups,
resource managers and academic researchers.

https://polardataforum.or
g/wpcontent/
uploads/
2021/09/40_Copy-ofPDFIV_o
ral_Prew
itt.pdf

https://youtu.be/cwAyxPg
KvHU

Kenton
McHenry

Leveraging Open
SourceTechnologies to
Support Arctic
Permafrost
Science

There is a growing need to bring together large data collections andanalytics, such as those based on machine learning, to create needed
derived data products from unstructured sensor data, such as satellite data,
to identify characteristics of permafrost across the Arctic region such as icewedge polygons, thaw slumps, and coastal erosion. These derived products
in turn provide researchers with another data resource which can beleveraged and or combined to study permafrost degradation and how it istied to climate from the sub-meter to the pan-Arctic scales. To facilitate thistype of science and connect the wide range of needed tools, data, andinfrastructure within the scientific community we are establishing a scientificgateway, the Permafrosts Discovery Gateway (PDG), which will provide aconvenient user friendly web based interface by which researchers cancreate, explore, and utilize this big data. The technology being leveraged toestablish this gateway includes Clowder, an NSF funded open source data
management framework designed for broad reuse and customizability
having been used by a number of such resources across a variety of scientificdomains. We will describe the Clowder framework and how the various
community tools, visualizations, and infrastructure resources (e.g.
computational and data/archival) are brought together within it to establish
the PDG.

https://polardataforum.or
g/wpcontent/
uploads/
2021/09/38_PDF
IV_oral_mchenry.pdf

https://youtu.be/9kepwH
Uf5fk

Luke H.
MarsdenDr.
Godøy, Øystein,
he/himNorwegian
Meteorological
Institute
Oslo, Norway
Prof.
Gabrielsen, Tove, M.
she/her
Universitetet i Agder
Kristiansand, Norway
Dr.
Ellingsen, Pål, G.
he/himUniversity of TromsøNarvik, Norway

FAIR andconsistent data
management ina largemultidisciplinary
project: The
Nansen Legacy

The Nansen Legacy project is a collaboration of over 200 biologists,
oceanographers, atmospheric scientists and geologists from 10 research
institutions across Norway. They investigate the impact of climate change on
the northern Barents Sea and adjacent Arctic Basin through multiple
research expeditions into often ice-covered waters. Designing a system that
ensures good and consistent data management across such a large,
multidisciplinary project is challenging, as multiple documentation standards
must be considered to encompass the wide range of data involved. Yet
success in achieving this is particularly important to facilitate
multidisciplinary collaborations, both across the project and beyond, as
researchers are often less aware of the data available to them outside of
their own field, which may compliment or strengthen their work.
To ensure good data management across the project, we have developed astandardized spreadsheet template generator based on Darwin Core, also
including terms from NetCDF-CF, that simplifies data publication. The
populated templates are fed into a searchable metadata catalogue available
through the SIOS (Svalbard Integrated Arctic Earth Observing System)
website, that provides an overview of the data collection activities.
Documented and published sampling protocols ensure consistent datacollection procedures between different researchers, and to clarify how thedata were collected for those not involved. The Nansen Legacy project iscommitted to the FAIR data management principles proposed by Wilksinson
et al. (2016), and published datasets are harvested and made accessible via asingle access point on the SIOS website. Frequent data management training
is available to educate all project participants on the best practices for all ofthese procedures.

https://polardataforum.or
g/wpcontent/
uploads/
2021/09/08_PDF
IV_oral_MARSDEN.pdf

https://youtu.be/
LiU2njkFc
LoMaria D.
Ananicheva

Department ofglaciology of IG RAS,
Moscow, Russia

New data on theglaciers of the
KoryakHighlands:
assessment of
the state using
satellite images
and field studies

As a result of deciphering the Sentinel-2 images (2018 and 2019), 189
glaciers were discovered in the Koryak Highlands. The reduction in glacierareas in comparison with the USSR Glacier Inventory (late 1960s) varies
widely from 20 to 74%. The error of glacier size determent from space
images was estimated basing on ground-based survey of glaciers from adrone (UAV) during the expedition in September 2020. Contemporary
glaciers of the Highlands are mainly corrie glaciers of the northern, NE and
NW aspects. The change of equilibrium line altitude in the glacier groups
within the river basins, identified in the Glacier Inventory for this area, varyfrom a minimum rise of several tens of meters to maximum values of 400500 m. Spatial patterns of trends in mean summer and annual temperatures,
total precipitation and precipitation for the cold period from 1966 to 2019were compiled: the values of temperature trends increase towards the
Kamchatka Peninsula, and precipitation trends - from the continent to thecoastal zone. The obtained ratios of these trends with the degree of glacial
groups reduction makes it possible to link the trends of the regional climate
with the glacial systems’ change that is the basis for predicting the reductionof glaciers for a period of several decades.

https://polardataforum.or
g/wpcontent/
uploads/
2021/09/27_MariaAnanicheva.pdf

MasakiKanao

Data and
metadata
sharing for polar
sciences as the
NADC in JapanThe Polar Environmental Data Science Center (PEDSC) of the Joint SupportCenter for Data Science Research (DS), the Research Organization ofInformation and Systems (ROIS) has a responsibility to manage and publish
the data involving Japanese research activities as one of a National Antarctic
Data Center (NADC). The data policy of PEDSC was established in February
2007, based on the requirements of the Standing Committee on Antarctic
Data Management (SCADM) of the Scientific Committee on Antarctic
Research (SCAR). At the International Polar Year (IPY2007-2008), a significant
number of multi-disciplinary data have been compiled. These collected
data/metadata have a tight collaboration with the Global Change Master
Directory (GCMD), the Polar Information Commons (PIC), as well as several
data centers belonging to the World Data System (WDS). In terms of data
activities in polar communities of the Scientific Committee on Antarctic
Research (SCAR) and the International Arctic Science Committee (IASC),
tighter linkages of data/metadata sharing within the Asian Forum for Polar
Sciences (AFoPS) countries has been discussed and should be further
promoted by the involved Asian countries, in particular China, India, South
Korea, Malaysia and Japan. In this presentation, a decade of history of polar
data management is demonstrated, in particular focusing on data/metadata
sharing, international collaboration among global data bodies and initiatives,
data publication and citation, as well as data journal issues (Polar Data
Journal).

https://polardataforum.or
g/wpcontent/
uploads/
2021/09/01_PDF-IV2021.Or
al_.Masa
kiKanao.pdf

https://youtu.be/J
5ozbDUR
ABI

Matthew B.
Jones

Author title (e.g. Ms.,
Mr, Prof.): Dr.
Last Name, First
Name, Middle Initial:
Vieglais, Dave
Author pronouns: he,him, his
Department(optional): DataONE
Institution (required):
University of Kansas
Street Address(optional)
City, State, Country(required): Lawrence,
KS, USAe-mail address(optional):
vieglais@ku.edu
Author title (e.g. Ms.,
Mr, Prof.): Dr.
Last Name, First
Name, Middle Initial:
Tao, Jing
Author pronouns: he,him, his
Department(optional): DataONE
Institution (required):
University ofCalifornia Santa
BarbaraStreet Address(optional)

Federated Arctic
data discovery
via the open
DataONE
network using
schema.org

We present an open, well-tested system for federated Arctic data discovery
that leverages schema.org metadata for datasets. Through the POLDER
effort, international Arctic data repositories have focused on adapting andadopting the Science on schema.org guidelines for publishing datasets. This
lightweight vocabulary for representing dataset-level metadata is being
adopted across data repositories worldwide, driven largely by Google’s
promotion. Many repositories also hold more detailed metadata records
using a diverse set of well-established metadata languages, including the ISO
19115 family of specifications, Ecological Metadata Language, and manyothers. Schema.org metadata provides a common, lightweight mechanism
for spanning these communities of practice alongside the more detailed
original metadata. DataONE’s metadata harvesting system handles andharmonizes all of these metadata formats.
The DataONE harvest engine is a scalable, flexible open source system that
handles multiple protocols and specifications. A simple route for repositories
to be discoverable through DataONE is to provide a sitemap listing
schema.org entries. DataONE also supports other harvest protocols and the
DataONE API. Regardless of the transfer protocol, once metadata isharvested, DataONE’s indexing system validates the content against
published schemas, harmonizes the vocabulary into a consolidated searchindex, and provides a suite of services such as assessing FAIR metadata
quality and reporting on data access and citation. Indexed metadata isavailable through the DataONE search service for programmatic access,through augmented schema.org entries, and through the DataONE web site.
The search interface provides thematic, spatial, temporal, and project-based
searches across the Arctic. We leverage DataONE's system for building
custom data portals to provide a federated Arctic Data search portal.
We present an overview of the DataONE harvester for schema.org alongwith challenges encountered in scaling harmonized metadata indexing
across a diverse group of dozens of Arctic repositories.

https://polardataforum.or
g/wpcontent/
uploads/
2021/09/14_PDF
IV_oral_j
ones_arc
tic_fed_dataone2021-09v02.pdf

https://youtu.be/ik4EyNNu
220

City, State, Country(required): Santa
Barbara, CA, USAe-mail address(optional):
tao@nceas.ucsb.edu
Author title (e.g. Ms.,
Mr, Prof.): Mr.
Last Name, First
Name, Middle Initial:
Slaughter, Peter
Author pronouns: he,him, his
Department(optional): DataONE
Institution (required):
University ofCalifornia Santa
BarbaraStreet Address(optional)
City, State, Country(required): Santa
Barbara, CA, USAe-mail address(optional):slaughter@nceas.ucs
b.edu
Author title (e.g. Ms.,
Mr, Prof.): Mr.
Last Name, First
Name, Middle Initial:
Mecum, Bryce

Author pronouns: he,him, his
Department(optional): DataONE
Institution (required):
University ofCalifornia Santa
BarbaraStreet Address(optional)
City, State, Country(required): Santa
Barbara, CA, USAe-mail address(optional):
mecum@nceas.ucsb.
edu
Author title (e.g. Ms.,
Mr, Prof.): Mr.
Last Name, First
Name, Middle Initial:
Nenuji, Rushiraj
Author pronouns: he,him, his
Department(optional): DataONE
Institution (required):
University ofCalifornia Santa
BarbaraStreet Address(optional)
City, State, Country(required): Santa

Barbara, CA, USAe-mail address(optional):
nenuji@nceas.ucsb.eduMatthew G.
NoojinDr.
Lazzara, Matthew A.
he/him
Department of
Physical Sciences (1) /Space Science andEngineering Center(2)
Madison Area
Technical College (1) /University of
Wisconsin-Madison(2)
Madison, WI, USA
mlazzara@madisonco
llege.edu

The Antarctic
MeteorologicalResearch andData Center:
Focus on FAIRData

The Antarctic Meteorological Research and Data Center (AMRDC) aims tobring Antarctic meteorological datasets, with an emphasis on observational
data sets, to the broader community. Meteorological data presents uniquechallenges in storage, sharing, and description. To meet the needs of its
extensive archival holdings, the research team explored several software
platforms and metadata standards. The recently launched AMRDC
Repository was ultimately built on open-source data platforms thatencourage extensibility and interoperability. The AMRDC Repository’s
information architecture seamlessly accommodates a diverse array of
meteorological data formats, while also offering opportunities for collecting
usage analytics as well as encouraging metadata harvesting and/or sharing
with other discipline-specific repositories and databases. As a disciplinespecific data center, the AMRDC aims to be an active host of real-time andarchived data. Data servers and services will be a part of this effort including
formal support for the Antarctic-Internet Data Distribution system. The
research team’s future goals for the repository extend beyond data transfer
and storage into implementing open-data standards which will allow users of
meteorological data processing software to efficiently access the AMRDC
Repository’s data holdings. The AMRDC will be a fully recognized Antarctic
meteorological data center, for and by the community. It has the potential to
be a participant in the WMO’s Antarctic Regional Climate Center network
establishment efforts. This presentation will summarize the AMRDC
Repository’s progress from concept to fully-fledged data repository, while
outlining the research team’s commitment to FAIR repository standards(Findability, Accessibility, Interoperability, and Reusability) as well as plansfor development and institutional partnerships.

https://polardataforum.or
g/wpcontent/
uploads/
2021/09/12_PDFIV_slides_Noojin_Matthew.pdf

https://youtu.be/YrleQmiyfxw

Matthew
M. King

Mr. Brendan
Billingsley(he/his)Geomatics andCartographic
Research Centre,
Carleton University
Ms. Pip Bircher(she/her)Southern Ocean
Observing System
Ms. Ruth Duerr(she/her)Ronin InstituteProf. Peter L. Pulsifer(he/his)Geomatics andCartographic
Research Centre,
Carleton University

Using theNunaliit Atlas
Framework for
Mapping thePolar Data
Ecosystem

The Mapping the Polar Data Ecosystem (MPDE) project aims to better
document and understand the polar components of the global information
ecosystem in order to target gaps in information resources. Its purpose isalso to guide the ongoing development of the increasingly interconnected
global information system in support of governance, research, livelihoods
and myriad other applications. Under the guidance of the Polar Data
Discovery Enhancement Research (POLDER) Working Group and relatedbodies, the Geomatics and Cartographic Research Centre at Carleton
University has used the Nunaliit software framework to develop
documentation tools for the MPDE project.
Nunaliit is used to display and collect data in a customizable multimedia
atlas and visualization application. The primary focus of this atlas iteration
was to compile existing data and provide tools for further documenting polar
data catalogs into the MPDE atlas, as well as to link the activity andrelationships between and among catalogs.
The Nunaliit MPDE atlas uses schemas, which act as templates for the data
documents in the atlas, and modules, which dictate how the atlas narrativeand visualizations are displayed. A schema for the documenting catalogs wascreated, based on the columns from tabular data from an existing survey. A
custom module was also built to display the data in a table form, alongside a
map module, which provides an alternate spatial view of the data.
We discuss the interoperability challenges resolved when building the MPDE
atlas (e.g. importing and reformatting tabular data, geocoding etc.). The
presentation concludes with an overview of next steps, including thedevelopment of a network visualization graph and publication of Linked
Open Data.

https://polardataforum.or
g/wpcontent/
uploads/
2021/09/46_Using-theNunaliitAtlasFramew
ork-forMapping-thePolarDataEcosyste
mSlides.pdfhttps://youtu.be/N87ddTz
XeTo

Michael
AllchinSankar, Ravi Darwin
Arctic Institute ofNorth America
University of Calgary
Calgary, Alberta,
Canadaravi.sankar@ucalgary.
caMazan, Ryan
Inuvialuit Regional
Corporation
Inuvik, Northwest
Territories, Canada
rmazan@inuvialuit.com
Christofferson,
ShannonArctic Institute ofNorth America
University of Calgary
Calgary, Alberta,
Canadashannonv@ucalgary.caGrewal, Navarjun
Simon Fraser
University
Burnaby, British
Columbia, Canada

Quantifying,communicating
and confirming
rates of coastalchange in the
Inuvialuit
Settlement
RegionLarge tracts of Canada’s Arctic coastline are subject to a wide range of novel
stresses, driven by varying combinations of warmer atmospheric and oceanic
temperatures, increasingly extensive open waters, a longer open-waterseason, and more energetic storms. These impacts are amplified where thecoast comprises unlithified sediments containing large volumetric fractionsof ice. Near-shore ecosystems are also at risk, due to increased influxes ofsediment and organic matter.
Nearly every settlement in the Canadian High Arctic is located in a coastal
setting. Direct impacts of coastal geomorphological change include
increasing risk of loss of property, infrastructure and cultural heritage
through erosion of the land-base, exacerbated by rising sea-level and higheramplitude storm surges. Such threats relate at least equally to sites of highsignificance for local culture and heritage. Any potential for disruption ofnear-shore food webs raises major concerns for communities’ food security,
which depends heavily on marine biological resources.
These observations reveal a pressing need to quantify signs and rates ofgeomorphological change along Arctic coastlines, focusing on areas close tosettlements and sites of cultural and archaeological importance. To inform
initiatives towards mitigation and remediation, as well as to support further
scientific investigation, the results of such an assessment must be madeavailable in accessible form to local communities, heritage resource
managers, those responsible for local infrastructure and planning, associatedadministrative bodies, and northern colleges.
This presentation describes a project led by the Inuvialuit Regional
Corporation to accomplish these goals for the Inuvialuit Settlement Region,
as a use-case under the umbrella of the Canadian Consortium for Arctic Data
Interoperability. We will discuss how we collaboratively identified a suitableapproach to conducting the assessment; outline progress towards
implementing a discoverable, searchable and interoperable databasethrough which to disseminate results; and assess options for validating
modelled results through ‘citizen-science’ participation.

https://polardataforum.or
g/wpcontent/
uploads/
2021/09/42_PDFIV_Oral_MAllchin.pdf

https://youtu.be/bpH22Cg
1Jpw

navarjun_grewal@sfu.ca
Matthews, Kara
Arctic Institute ofNorth America
University of Calgary
Calgary, Alberta,
Canadakara.matthews@ucal
gary.caWilkes, Graham
Natural Resources
CanadaOttawa, Ontario,
Canadagraham.wilkes@canada.caParrott, Jenn
Inuvialuit Regional
Corporation
Inuvik, Northwest
Territories, Canada
jparrott@inuvialuit.com
Pulsifer, Peter
Geomatics andCartographic

Research Centre
Carleton University
Ottawa, Ontario,
Canadapeter.pulsifer@carleton.ca
Murray, Maribeth
Arctic Institute ofNorth America
University of Calgary
Calgary, Alberta,
Canadamaribeth.murray@uc
algary.caMikkel H.
Bojesen

Closing the gapof navigationalrisk inunchartered
Arctic waters
with novel
satellite-based
data products

Maritime activity across the Arctic is increasing alongside an increased
economic activity and geopolitical awareness in the region.
In this context, supporting safety at sea, safeguarding national sovereignty,
and offering logistical support to the civil society, efficient naval and first
responding capacities are being important as ever before across Arctic
societies. But arctic maritime operations, are associated with high level ofnavigational risk due to missing or inaccurate nautical information and vast
areas are still left uncharted. Consequently, each year the harsh Arctic
environment claims its victims.
In situations of distress, first responders must very often search enormousareas with little opportunity for efficiently identifying the exact location of
those in need, since means of communication is very limited, outside thepopulated areas.
In this presentation we showcase examples of how co-production betweennavies and industry research can bring about satellite-based decision
support for both efficient object identification and navigational riskminimization in terms of mapping of submerged rocks, intertidal zones andprecise delineation of coast lines. This data production relies on recent
developments within application of multi-temporal bathymetric retrieval
models and high resolution Synthetic Aparture Radar (SAR) imagery.
Demonstration work in Greenland is presented together with a discussion on
future applications across the Arctic.

https://polardataforum.or
g/wpcontent/
uploads/
2021/09/23_DHI_GRAS_
MaritimeSituatio
nalAwareness_P
olarData
Forum.pdf

https://youtu.be/Vc8L3eZypDg

NoorJohnsonDr. Matthew
Druckenmiller,
he/him, National
Snow and Ice Data
Center, University ofColorado Boulder
Prof. Peter Pulsifer,
he/him, Carleton
University

Looking back,looking ahead:
The ELOKA
Program at 15
years

The Exchange for Local Observations and Knowledge of the Arctic (ELOKA)
partners with Indigenous organizations and researchers to facilitate thecollection, preservation, exchange, and use of Indigenous Knowledge andcommunity-based observations. ELOKA was initiated in 2006/2007 during
the International Polar Year to address a gap in resources and support fordata management focusing on Indigenous Knowledge and Arctic community
data. Since then, Arctic research has undergone a period of significant
change, with a growing emphasis on community-led research and coproduction of knowledge. Fifteen years since its founding, ELOKA is
beginning a new five-year period of collaborative work with new and existing
partners from across the Arctic funded by the National Science Foundation.
This presentation will summarize ELOKA’s progress and challenges over the
past fifteen years, situating them in the larger context of a changing research
environment. We will share an overview of the ELOKA community data
management (CDM) system and protocol as well as plans for the next phaseof ELOKA’s work focusing on understanding and enhancing the use andusability of CDM infrastructures. This includes co-developing use cases of
specific data products with partners, convening two thematic working
groups to exchange approaches and ideas, and collaborative development ofa use and usability framework for community data management. ELOKA’s
collaborative effort to develop a usability framework will broadly consider
how cross-cultural sharing, storytelling, data sovereignty protocols, andcapacity building may strengthen the use and dissemination of community
data.

https://polardataforum.or
g/wpcontent/
uploads/
2021/09/32_JohnsonPDFELOKA.pdf

https://youtu.be/b6q2xC0t
ZPQPaul Arthur
Berkman

ArcticSustainability
and the Satellite
Record ofMaritime Ship
Traffic

The oldest continuous satellite record of maritime ship traffic north of the
Arctic Circle will be discussed with implications for sustainable developmentin the Arctic Ocean. The satellite Automatic Identification System (AIS) bigdata are being analyzed with extreme speed and cost-effectiveness in thecloud, applying 'space-time cube' methodologies. As a case study, emphasisof this oral presentation will be on global precedents that are being
established with the "precautionary approach" that is entering into force for
Arctic and non-Arctic States with the Agreement to Prevent Unregulated
Commercial Fishing on the High Seas of the Central Arctic Ocean.

https://polardataforum.or
g/wpcontent/
uploads/
2021/09/37_Paul-ArthurBerkman_PolarDataForumIV_19SE
P21.pdf

https://youtu.be/tLTQDJiJ
qfY

Peter L.
Pulsifer

The CCADI Technicaland Management
Teams

Towards an
Ecosystem ofInteroperable
Data
Infrastructures:contributions
from theCanadian
Consortium for
Arctic Data
Interoperability

Polar data are required by the Arctic community to support research on awide variety
of topics and domains (physical, social, economic, etc.). Mobilizing andmaximizing the value of Arctic data requires data infrastructures that canserve and mediate data for a wide range of different users and applications.
Developing useful and usable infrastructures requires attention to systemdesign and emergence at many different levels: foundational data storage,
management, and preservation; methods and technologies for transforming
and mediating data; representation and portrayal for different audiences;use of emerging technologies such as online platforms, machine learning,
semantics, and natural language processing; ensuring respectful and ethicaluse of data and infrastructure. In this paper, we present a review andanalysis of selected activities and experiences of the international Arctic andpolar data communities, primarily through the activities of the Arctic Data
Committee, but including partnered initiatives with the Antarctic andbroader global data communities. More specific examples and conclusions
are drawn from the work of the Canadian Consortium on Arctic Data
Interoperability and its partners. From these experiences, we share anumber of lessons learned and discuss future directions.

https://polardataforum.or
g/wpcontent/
uploads/
2021/09/06_PDF
IV_oral_pulsifer.
pdf

https://youtu.be/sFBLvNIIFbA

Petra Ten
HoopenDr
Pfeil, Benjaminhe/himBjerknes Climate
Data Centre
University of Bergen
Bergen, Norway
Benjamin.Pfeil@uib.noand the SOOS DataManagement SubCommittee

Building asciencecommunity
through data
tools

The Southern Ocean Observing System is building a community out of large
numbers of scientists, data managers, and institutions that don’t usuallywork together. It spans more than sixty countries, National Antarctic
Programs, and oceanography programs across a multitude of scientificdisciplines. Creating a cohesive and collaborative community from suchdisparate actors is a challenging task, but a necessary one if the SOOS visionof a sustained system of coordinated ocean observations is to be achieved.
For SOOS, our data systems are one of the most visible ways in which webring together activities from across the community, as well as providing an
incentive for our scientists to engage with formal data management
activities within their institutions and nations.
SOOSmap is a map-based portal of highly curated and standardised
datasets, developed for SOOS by EMODnet Physics, and it provides not justaccess to datasets but also a very visible way to identify gaps in observing
and data sharing efforts in the Southern Ocean, and a tool to support andimprove observing system design.
In this presentation, we will also describe our metadata portal, hosted by
NASA, and our engagement through POLDER with efforts to develop
federated metadata search for polar regions, which will make it much easierfor researchers to find and access the wide variety of data types which
haven’t yet been incorporated into a standardised and QCed data
management system.
Such tools are crucial for creating a tangible shared outcome of SOOS’
efforts and the desire to get their data “on the map” is a direct incentive forour science community to engage with data managers to achieve the SOOS
vision.

https://polardataforum.or
g/wpcontent/
uploads/
2021/09/03_PDF
IV_oral_soos_ten
Hoopen.
pdf

https://youtu.be/cUVtwhnyzeU

Petra ten
HoopenUK Polar Data Centre

Polar biodiversity
data: from anational marine
platform to a
global data
portal.

Global access to accurate biodiversity data is a prerequisite to our progressin understanding biodiversity dynamics in an ecosystem. Despite recent
major advancement in sharing data on the world’s species, there are still
many challenges. One of them relates to the mechanics of guiding datasystematically from its provenance to end users. This is not surprisingconsidering that behind every species occurrence data point in a global
biodiversity data portal lies a huge effort. It takes years to orchestrate asuccessful sampling campaign and requires significant resources to manage
samples obtained in often extreme remote conditions and to secure
preservation of and access to the acquired data.
Here we briefly describe biodiversity data flow from a polar ship to anational data repository and to a global data portal and highlight few crucial
points in this process which aims to systematically share information pieces
into the mosaic of our polar species biodiversity knowledge.

https://polardataforum.or
g/wpcontent/
uploads/
2021/09/26_PDF
IV_oral_ukpdc_t
enHoopen.pdfhttps://youtu.be/
CPLBzcx
W3_UPip Bricher

Mr.
Keeble, Simon
He/himBlue Lobster
Dr.
Badhe, Renuka
She/her
European Polar
Board

Who’s going
where and how?
What can they
do when they
get there?
Towards an
integrated
database forpolar researchlogistics andinfrastructures

As polar research and observing systems come of age, there is increasing
interest in sharing information about logistical resources, which in turnmakes it possible for the resources themselves to be shared acrossinstitutions and nations, facilitating multi-agency collaboration.
In contrast with the extensive efforts that have been made to alignmetadata standards for discovering scientific datasets, attempts tostandardise the way logistical resources and infrastructures are documented
are in their infancy.
A new collaboration between the Southern Ocean Observing System (SOOS)
and the European Polar Board (EPB) is a prime example of the challenges
inherent in aligning these infrastructure and logistics databases to maximise
their use and share resources.
DueSouth, SOOS’ database of upcoming expeditions to the Southern Ocean,holds information about planned expeditions by Antarctic andoceanographic researchers, as well as fishing and tourist vessels. However, itholds very little information about the vessels, aircraft, and research stations
associated with those expeditions, and has struggled to collate information
about the projects associated with them. Meanwhile, the European Polar
Board’s infrastructure database, developed collaboratively with EU-PolarNet,
INTERACT, EuroFleets, COMNAP, SIOS and others, contains detailed
information about European Arctic and Antarctic research stations, vessels,
aircraft and other assets and facilities. The EPB recently agreed to host
DueSouth for SOOS, which will provides an opportunity to integrate thedatabases and align core fields. The combination of the databases in amodern, cloud-based, serverless technology provides high availability andhigh performance, with a scalable platform to be made available to the polar
communities. This facilitates easy access to search and discovery of
expedition, logistics and infrastructure resources, maximising use andcollaboration.
In this presentation, we will discuss the challenges and lessons learned so
far in integrating these databases, our engagement with similar efforts fromhttps://polardataforum.or
g/wpcontent/
uploads/
2021/09/35_PDF
IV_oral_bricher_
whosgoingwhere.pdf

https://youtu.be/
8Uirii5rz
U0

EU-PolarNet 2 and the Polar Observing Assets Working Group (POAwg), andour recommendations for the way forward.

Pip K.
Bricher

Ms
Duerr, Ruth
she/herRonin Institute
Boulder, Colorado,
USA
Ruth.Duerr3@gmail.comProgress onfederating
metadata search
for the polar
regions

Polar-relevant metadata is stored in catalogues across the globe and includes
a wide variety of data types, such as measurements taken from
instrumentation, maps and atlases, photographs, and recordings of oral
histories. For many data types, there is no realistic prospect of standardisingand aggregating the data itself; therefore, federated metadata search is the
only viable way to make these datasets easily discoverable, and so maximise
their value.

rebekah.ingram@carl
eton.ca

POLDER is a working group of the Southern Ocean Observing System,
Standing Committee on Antarctic Data Management, and the Arctic Data
Committee, and it is extending some of the existent guidance and tools
needed to make federated metadata search possible for the polar researchcommunity. A key element of the POLDER effort is generating a best practiceguide to implementing schema.org, as a potentially lightweight discovery
metadata standard that will sit alongside data centres’ existing metadata
standards. We hope that schema.org metadata will thus help navigate
between the multitude of existing, richer metadata standards that arecommonly used in data centres, and allow discovery of the long tail of data
that's currently hard to find.

Mrde Bruin, Tacohe/himRoyal Netherlands
Institute for Sea
Research
Texel, Netherlands

Once the best practices guide is completed, POLDER intends to implement asmall pilot federated search project through the implementation of the
POLDER Schema.org mark-up recommendations, building on andcontributing to the tool development in allied communities. This federated
search is intended to serve the polar research community by creating asingle user interface for researchers, community members and data
managers to search across numerous polar repositories in a single query.

Taco.de.Bruin@nioz.nl

In this presentation, we will describe the process to date on creating atemplate for schema.org metadata and a best practice guide to accompany
that template, as well as the lessons learned so far in the process ofdeveloping the tools to support federated metadata search.

Ms
Ingram, Rebekahshe/her
Carleton University
Ottawa, Ontario,
CanadaMs
Verhey, Chantelle
she/herWorld Data System,

https://polardataforum.or
g/wpcontent/
uploads/
2021/09/13_PDF
IV_oral_Bricher_federate
dsearch.
pdf

https://youtu.be/SbS5jtbz
B7M

International
Technology OfficeDundas, Ontario,
Canadaitora2@oceannetworks.
ca
Mr
Godøy, Øystein
he/himNorwegian
Meteorological
Institute
Oslo, Norway
oystein.godoy@met.noand the POLDER
working group

Rebekah R.
IngramLinking
attributes,
linking systems:
advancingknowledgetranslation in the
Canadian
Consortium for
Arctic Data
Interoperability

The Canadian Consortium for Arctic Data Interoperability (CCADI) aims todevelop a research data infrastructure that facilitates information discovery,
promotes the sharing of standards, and enables interoperability among
existing Arctic data infrastructures at universities and institutions acrossCanada. To achieve the goal of interoperability, several issues regarding
semantics and terminology must be considered. These include: the wide
variety of data pertaining to the Arctic, ranging from climate and forecastingdata and cryosphere and oceanographic data to social science data centring
upon Inuit experiences of the landscape; the differences in terminologicaluse between different data centres and institutional repositories; differencesin the use and type of instrumentation; and the framework used for
metadata cataloguing.
This paper outlines our semantic strategies for the CCADI project. Throughinteraction with other organizations working with Arctic Data such as Arctic
Data Committee-Sustaining Arctic Observing Networks (ADC-SAON), Polar
Data Discovery Enhancement Research (POLDER) Working Group, and Earth
Science Information Partners (ESIP), we focus on aligning ourselves with andleveraging work already in progress with respect to new and emerging
standards and their vocabularies. Close collaboration with domain experts
also helps us maintain balance between terminology that is too narrow andtoo broad while capturing the relationships between different groups’ terms
without overly restricting them. Through a discussion of these issues and thesteps taken to resolve them, we seek to document and share a usable
workflow as an available roadmap for others working toward semanticinteroperability in data-based initiatives.

https://polardataforum.or
g/wpcontent/
uploads/
2021/09/17_PDF
IV_oral_I
ngram.pdf

https://youtu.be/DWpXjTr
pwIY

Rob E.
Jennings

Digital Antarctica– A FAIR
approach toAustralian
Antarctic
research data

The Digital Antarctica project is an initiative under the Australian Antarctic
Program Partnership that aims to increase the FAIRness of the collaborating
partners, with a specific focus on interoperability. The initiative was basedon recommendations coming out of the Clarke review of the Australian
Antarctic Science Program, which called for a federated data architecture tofacilitate a world-class centre for Antarctic data analytics.
The Australian Antarctic Program Partnership consists of predominantly
science-focussed organisations performing research across the Antarctic andSouthern Ocean regions. Each organisation collects and serves data to meetthe unique focus and purpose of the organisation and its data users.
Because of the disparate nature of the organisations and their needs, there
is no definitive and simple way to find and integrate Australian Antarctic
data. Any researcher or policy maker looking for Australian Antarctic data
must first know where to look.
The Digital Antarctica project is addressing this by: working with thepartnership organisations to define agreed standards of data storage, datadelivery, and interoperable services; assisting organisations in implementing
those standards; and constructing a prototype to demonstrate how thoseservices and standards can be used to create a federated data model to help
find, access, and integrate Australian Antarctic research data.
This presentation will delve into what makes Digital Antarctica unique. It will
also cover how we have addressed the challenges which arise from working
closely with stakeholders from a small but diverse group of partnerorganisations, including: agreement on various aspects of the initiative (forexample, terms, scope, goals, and standards); engaging with organisations ofvarying sizes; and finding approaches that suit a wide range of data levels,
data types and breadth of data offerings.

https://polardataforum.or
g/wpcontent/
uploads/
2021/09/02_PDF
IV_oral_Jennings.pdf

https://youtu.be/A4Y6_zdy4VM

Ruth E.
Duerr

Ms.
Kaylin Bugbee
she/herNASA Marshall Space
Flight Center
Huntsville, Alabama,
USA
Mr.
Mark Parsons
he/himUniversity of
Alabama in Huntsville
Boulder, Colorado,
USA
Mr.
Daniel Berrios
he/himNASA Ames ResearchCenterMoffett Field, CA USA
Mr.
Ashish Acharya
he/himUniversity of
Alabama in Huntsville
Huntsville, Alabama,
USA
Dr.
Emily Foshee
she/her
University of

Advancing
Discovery inNASA’s Science
MissionDirectorate

NASA’s Science Mission Directorate (SMD) has established a long-term goalof developing and implementing capabilities that enable open science acrossNASA’s scientific disciplines. The SMD has five divisions including Earth
Science, Planetary Science, Heliophysics, Astrophysics, and the Biological andPhysical Sciences. Each division within SMD produces, examines and catalogs
tens of petabytes of data to fulfill scientific objectives and provide scientificfindings to millions of people.
Currently, access to these data tends to be discipline and division specific.
There currently are no mechanisms that provide discovery and access toheterogeneous scientific data from across all five divisions. Working towards
such mechanisms and helping to cultivate a strong community of practiceacross SMD to share recommended practices and discuss common strategies
is the goal of the project described here.
This project is using semantics to prototype cross-divisions discovery
methods based on user submitted use cases that are explored in a series ofworkshops involving domain, data, and semantic expertise. Two use cases
will be explored over the summer. The first attempts to discover biologicalsample data acquired during periods when the International Space Station
was flying through relatively high radiation environments such as the South
Atlantic Anomaly. The second involves discovering atmospheric data fromplanets both within and outside our solar system. Between these two use
cases, data from all five divisions is needed.

https://polardataforum.or
g/wpcontent/
uploads/
2021/09/19_PDF
IV_oral_DuerrSMD.pdf

https://youtu.be/i
w1gj8I1LsI

Alabama in Huntsville
Huntsville, Alabama,
USA
Dr.
Anirudh Prabhu
he/himRensselaer
Polytechnic InstituteTroy, NY, USAMr.
Ahmed Eliesh
he/himRensselaer
Polytechnic InstituteTroy, NY, USA

Ruth E.
Duerr

Buttigieg, Pier Luigi
he/himHGF MPG Joint Research Group for
Deep-Sea Ecology andTechnology
Bremen, DE
Berg-Cross, Garyhe/himOntolog Forum
Washington, DC area
USA
Blumberg, Kai L
he/himUniversity of Arizona
Tucson, AZ USA
Schildhauer, Markhe/himUCSB
Santa Barbara, CA
USAWhitehead, Brandon
he/himLandcare Research
Manaaki Whenua,
New Zealand

Nancy Wiegand,Nancy
she/her

Cryosphere
Semantics
Harmonization
Efforts at ESIPThe Earth Science Information Partners (ESIP) federation, is a community ofmore than 170 organizations including “USA federal data centers,
government research laboratories, research universities, education resource
providers, technology developers, and various nonprofit and commercial
enterprises” with a vision of “promoting the collection, stewardship and useof Earth science data, information and knowledge that is responsive tosocietal needs”. Over the years, with the recognition that the role of humanand machine actionable semantics, as represented by terminologies in theform of controlled vocabularies, glossaries, thesauri, and ontologies, isbecoming increasingly important to these goals, a Semantics Harmonization
cluster formed. This group has spent several years grappling with methods
for harmonizing existing diverse semantics resources, with cryospheric andpolar terminology as its first target. Here we describe the resulting outputs
and the leading practices developed and used.

https://polardataforum.or
g/wpcontent/
uploads/
2021/09/20_PDFIV_Oral_DuerrHa
rmonization.pdf

https://youtu.be/hFrYPdEJ
TXI

University of
Wisconsin-Madison
Madison, Wisconsin,
USA
Verhey, Chantelle
she/herInternational Science
Council, World Data
Systems
Victoria, BC Canada

Sabina Di
FrancoMr.
Roberto SalzanoheInstitute on
Atmospheric Pollution(IIA) - CNR, Italy
Florence, Italyroberto.salzano@cnr.itMr.
Enrico Boldrini
heInstitute on
Atmospheric Pollution(IIA) - CNR, Italy
Florence, Italy
enrico.boldrini@cnr.it
Ms.
Rosamaria SalvatorisheInstitute of Polar
Sciences (ISP) - CNR,
Italy
Rome, Italyrosamaria.salvatori@
cnr.itMetadata for aspectral libraryon snow and ice
and FAIR
principles

To share a collection of field-collected hyperspectral data of snow (Snow andIce Spectral Library - SISpec), a metadata profile, specific to cryosphereproperties was created to describe the dataset and increase interoperability.
The spectral data were collected in Polar areas and were intended foranalysing and processing multispectral satellite images to study the seasonalevolution of snow surface.
The metadata profiles of various spectral libraries on rock, soils, andvegetation were examined. In the absence of specific standards for thecryosphere, the international classification of snow was adopted as a
guideline (Fitz, 2009).
To ensure compliance with the "open access" rules, we searched for abalance between the ERC guidelines, the FAIR principles defined by the
Research Data Alliance, and the GEO Data Sharing Principles. The ISO 19115
standard and the INSPIRE guidelines were chosen as the standard framework
to describe SISpec. When the available metadata schema was not sufficient
or well-suited, metadata extensions or new detailed metadata components
were created.

https://polardataforum.or
g/wpcontent/
uploads/
2021/09/10_PDFIV_Oral_
DiFranco.pdf

https://youtu.be/xLdrKGP
Q2c8

Sabina Di
FrancoMr
Paolo PliniHeCNR - ISP (Institute ofPolar Sciences National ResearchCouncil, Italy)
Rome, Italy
paolo.plini@cnr.it
Dr
Rosamaria Salvatori
She
CNR - ISP (Institute ofPolar Sciences National ResearchCouncil, Italy)
Rome, Italyrosamaria.salvatori@
cnr.itSnowTerm: aterminology
database on
snow and ice

Controlled vocabularies are useful tools for organizing information. They
help to have the specific terminology of an area of knowledge to catalogue
and retrieve information and enhance semantic interoperability.. In acontrolled vocabulary are collected variants and synonyms of concepts
linked together in a logical order, or sorted into categories.
SnowTerm is an example of a structured reference multilingual scientific andtechnical vocabulary,
covering the terminology of a specific knowledge domain such as the polar
and the mountain environment. The thematic areas, at present, deal withsnow and ice physics, snow and ice morphology, snow and ice radiometry,
remote sensing and GIS in cryosphere environment, sea ice, avalanches andglaciers.
BiodivThes represents a vocabulary of terms covering the field ofenvironment, ecology and biological diversity. It includes both biotic andabiotic concepts.
For both vocabularies the identification, acquisition and harmonisation ofcontrolled multilingual terminologies brought to the development of acomplete basic reference list of terms in English, partially multilingual.
The terminology of these sources was analysed with respect to the degreeof semantic relevance in the field excluding both terms too generic or
considered as non-pertinent.
At present, SnowTerm database contains around 3,700 terms mainly in
Italian and English. BiodivThes contains around 1,800 terms In English and
Italian. For the vertical structure of the vocabularies, we adopted theClassification Scheme already in use for the development of the CNR EARTh
Thesaurus. The hierarchical setup is based on facets; according to its intrinsic
features, the structure can be used as a semantic reference system, stableand partially independent from the context.
We are implementing a glossary and thematic structure. The possibility ofapplying different thematic schemes could allow the exploration of concepts
according to different perspectives, which may emphasize particular andcontingent aspects.

https://polardataforum.or
g/wpcontent/
uploads/
2021/09/18_PDF
IV_oral_Plini.pdf

https://youtu.be/uZysnNO
0hp4

SandyStarkweather

Mr. Jan Rene Larsen
he/him AMAP
Secretariat, Tromso,
NorwayLinking manycenters –Progress on
defining andengaging around
Sustaining Arctic
Observing
Network’s
Roadmap for
Arctic Observing
and Data
Systems (SAONROADS)

SAON-ROADS has matured as a concept since it was formally introduced to
the 2020 Arctic Observing Summit (AOS 2020) as a framework for planning,
partnership development and integration of the needed enhancements tothe future Arctic observing and data infrastructures. AOS 2020, with its 350
attendees from 28 countries, provided valuable opportunities to dialog
about the planning and partnership constructs, including assessment
strategies organized around societal benefit, planning mechanisms organizedaround essential variables and governance for an integrated advisory/expert
process. A subsequent series of SAON-led governance discussions haveenhanced our understanding of how SAON will use ROADS to draw together
its diverse network of partners into a coherent structure of advising andsubject matter experts to develop recommendations. Collectively, thesepartners have turned to SAON to guide Arctic observing and data systemdevelopment, yet it is important to recognize that SAON’s ability to influencepartner actions through collaborative governance is non-hierarchal andtherefore constrained. Ostrom (2010) would describe the SAON governancemodel as polycentric; as the name implies this describes governance systems
through which multiple centers of authority are working toward a common
goal. This talk will present the role of polycentric concepts in informing theshape of the planning tools and governance constructs within the ROADS
process and provide updates and status on the process itself, including how
the data community might already begin to engage.

https://polardataforum.or
g/wpcontent/
uploads/
2021/09/39_SandyStarkwe
ather.pdfhttps://youtu.be/bAcOg73iNuk

Saurav
Sahu

Authors other than
the first author:
Maia Hoeberechts,
Ryan Flagg,
Lucianne Marshall,
Reyna Jenkyns,
Geovany TrejosSalas,
Meghan Paulson,
Mitchell Wolf,
Tanner Owca,
Meghan Tomlin,
Megan Kot,
Stefanie Mellon,
Michael Thorne,
Ben Biffard,
Derrick Evans,
Kristen Meyer

Institution:
Ocean Networks
CanadaCity, State, Country:
Victoria, British
Columbia, Canada

Data Life-Cycle
Management toencompass anautomated Data
Pipeline at
Ocean Networks
Canada:Community
Fishers Program

Ocean Networks Canada (ONC), an initiative of the University of Victoria,
operates world-leading ocean observatories and data repository services.
Marine infrastructure installed on the West, East, and Arctic coasts ofCanada by ONC and partner organizations deliver data from hundreds of
instrument types deployed on a variety of platforms with different dataacquisition systems. ONC’s data infrastructure, Oceans 2.0, serves a growing
array of instruments and platforms from data collection, assurance, anddescription, to data preservation, discovery, integration, analysis, anddistribution. Community Fishers is ONC's program that supports Citizen
Science, oceanographic observations collected by individuals on a small
marine vessel and facilitated by a custom in-house developed android
application. This program started back in 2015, with ONC's partnership with
the Pacific Salmon Foundation’s Salish Sea Marine Survival Project. Here, wefeature the evolution of the original framework into a full-fledged
automated data life-cycle; it begins with instrument integration and sample
planning, and the cycle concludes with a near real-time display (and archivalof multiple data products) of quality-controlled data for the sampled watercolumn. This data management pipeline was further extended to support
community-based monitoring in the Canadian Arctic at Frobisher Bay with
the Indigenous Community at Iqaluit through a partnership with theFisheries and Oceans Canada (DFO). Some of the initial challenges, such as
reduced tablet battery life in the low-temperature Arctic, and rendering theGeo-spatial map portal for near real-time display of the data in lowbandwidth remote locations, were overcome with continued development.
During this data life-cycle, ONC adheres to research data community
standards and best practices in data management including FAIR (findable,
accessible, interoperable, and reusable) data principles. As a member of theWorld Data System since 2014, it continues its long-standing commitment tomeeting rigorous data repository certification criteria.

https://polardataforum.or
g/wpcontent/
uploads/
2021/09/33_ssahu_CF_Po
lar_data_forum_IV.pdfhttps://youtu.be/rL_Bb_YI
8eg

Simo Siiriä

Ingrid M. AngelBenavides , The
Federal Maritime andHydrographic Agency,
Germany
WaldemarWalczowski, Instituteof Oceanology of thePolish Academy of
Sciences, Poland
Kjell Arne Mork,
Institute of Marine
Research, Norway
Edouard Leymarie,
Sorbonne University,
FranceKamila Walicka,
British Oceanographic
Data Centre, England
Birgit Klein, The
Federal Maritime andHydrographic Agency,
Germany
Matt Donnelly,
British Oceanographic
Data Centre, England
Romain Cancouët,Euro-Argo ERIC Office,

Extending Argo
float coverage inpolar regions

As of writing the Argo project has a good coverage of the open oceans, andprovides an unique open dataset for the oceans physical state. However, thecloser we go to the poles, the scarcer the coverage of Argo floats gets. The
main reason for this is that operating the floats is more challenging with theconstant risk of ice. The practices to operate in such conditions are various,and for a new operator the risks and procedures can be daunting.
In the Euro-Argo Rise project, one of our targets is to further develop the
Argo operations in both Arctic and Antarctic regions. For this end, we workon two approaches: First is to develop and improve ice-avoidance algorithms
and review their performance and limitations on both regions. The second
approach is to gather up experiences and lessons learned from float
operations in these regions. The new developments within the project andthe historical information will be combined to form an extensive bestpractices guidance for lowering the barrier for current and future operators
to enter in the polar regions.
Within the project we have deployed Argo floats with Ice Sensing Algorithms(ISA) in both polar regions, and in the Baltic Sea. The Baltic Sea is added, as it
has ice cover for only a part of the year, and for its size, it is easy to retrieve
the floats after missions for further study. In this presentation we will show
the results of our first experiments and the findings that will be the basis of
the best-practices proposed by the project.

https://polardataforum.or
g/wpcontent/
uploads/
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SimoSiiriä.pdfhttps://youtu.be/6somlMb
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France
Laura Tuomi, Finnish
Meteorological
Institute, Finland

SteinTronstadDr. Bricher, Philippa,
Southern Ocean
Observing System,
Hobart, Tasmania,
Australia
Mr. de Bruin, Taco,Royal Netherlands
Institute for Sea
Research, Den Helder,
Netherlands
Dr. Buch, Erik,
European Global
Ocean Observing
System, Brussels,
Belgium
Prof. Eicken, Hajo,
University of Alaska,
Fairbanks, Alaska,
USA
Dr. Ignatiuk, Dariusz,
Svalbard Integrated
Arctic Earth Observing
System,Longyearbyen,
NorwayDr. Kool, Johnathan,Australian Antarctic
Data Centre,
Kingston, Tasmania,
Australia
Mr. Larsen, Jan Rene,
Arctic Monitoring andAssessment
Programme, Tromsø,
NorwayAlignment of
Polar Data
Policies Recommended
Principles

Data policies are important tools to set expectations among the observing
community,
other rights holders and users about how and what data to share and how
to treatdata shared by others. As a primary resource for science and crossdisciplinary collaboration data should be managed according to widely
recognised principles. Data policies based on shared, fundamental principles
will clarify obligations and stipulate norms with respect to data sharing,access, management, preservation, and acknowledgment. Agreement onsuch principles will facilitate collaborative research and serve to increase theproductivity of data for scientific, operational, management and decisionmaking purposes. This is particularly important in polar regions, where datacollection tends to be prohibitively expensive.
Polar data sharing and open data policies go back to the First International
Polar Year (1882-1883). The fourth International Polar Year (2007-2008)
provided a major impetus to improving data management at both poles andintroduced a seminal data policy specific to polar research. Later on, several
polar science bodies introduced their own data policies modelled on the IPY
data policy. While these share major ideas and obligations, they were notwritten to be explicitly aligned and differ in important aspects. In addition,
they pre-date the FAIR principles and other key principles for data
management, as well as other modern technological and institutionalchanges that significantly impact the ways in which scientific data aremanaged and shared.
In this paper we examine such developments along with the data policy
recommendations and policies of important global and regionalorganisations. We conclude by recommending ten fundamental principles
for adoption in polar data policies.

https://polardataforum.or
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IV_oral_Tronstad.pdf

https://youtu.be/
FOtQpXRdJo

Dr. Nitsche, Frank,
Lamont-Doherty
Earth Observatory ofColumbia University,
Palisades, NY, USA
Dr. Peat, Helen,
British Antarctic
Survey, Cambridge,
UK
Mr. Persäter, Fredrik,
Swedish Mapping,
Cadastre and Land
Registration
Authority, Gävle,SwedenMr. Pouplier, Peter,
The Danish Agency for
Data Supply andEfficiency,
Copenhagen,DenmarkDr. Pulsifer, Peter,
Carleton University,
Ottawa, Ontario,
CanadaDr. van de Putte,
Anton, Royal Belgian
Institute of Natural
Sciences, Brussels,
Belgium
Dr. Rayner, David,
Swedish National
Data Service,
University ofGothenburg, Sweden

Mr. Riopel, Simon,
Natural Resources
Canada, Ottawa,
Ontario, Canada
Mr. Samy, VS,
National Centre for
Polar and Ocean
Research, Goa, India
Mr. Tacoma, Marten,
Royal Netherlands
Institute for Sea
Research, Den Helder,
Netherlands
Ms. Thomas, Jen,
Swiss Polar Institute,Sion, Switzerland
Dr. Treasure, Anne,
South African
Environmental
Observation Network(SAEON) Information
Systems, Pretoria,
South Africa

Timothy J.
PaschDr. Renata G. Curty
Research Data
Specialist (Social
Sciences)
University ofCalifornia, Santa
BarbaraSanta Barbara,
California, USA
Dr. Noor Johnson
Research Scientist
Exchange for Local
Observations andKnowledge of the
ArcticNational Snow andIce Data Center
University ofColorado Boulder
Matthew Jones
Director ofInformatics Researchand Development
National Center for
Ecological Analysis
and Synthesis(NCEAS)
University ofCalifornia, Santa
Barbara, USA
Dr. Amber Budden
Director of Learning

Walking On Thin
(Arctic) Ice:
Negotiating theDigitalLandscape ofProtected andSensitive Arctic
Social Science
Research Data

Federally-funded US Arctic social science researchers working withsensitive/protected datasets face a number of unique data preservation andsharing challenges. When appropriate, the National Science Foundation(NSF) requires data generated from projects to be made publicly available via
a data repository such as the NSF Arctic Data Center (ADC). Yet researchers
can find it challenging to respond to sometimes conflicting norms, guidelines
and regulations, including, for example, Institutional Review Board (IRB),
consent forms and data management plans; implementation of CARE
(Collective benefit, Authority to control, Responsibility, and Ethics) and FAIR
(Findable, Accessible, Interoperable, Reusable) data principles; andIndigenous data sovereignty agreements that uphold Indigenous rights tomanage their own data. This study provides an overview of the landscape ofArctic social science data management and describes the development of asurvey of Arctic NSF award recipients designed to identify which factors
assisted, delayed, or hindered researchers from sharing their data. These
results, coupled with the review of current literature and the state of the artof repositories handling sensitive and protected data, will inform thedevelopment of proposed features at the NSF ADC incorporating changes todata submission processes. Specifically, these features will include metadata
entry fields for cultural heritage and enable flagging of sensitive andprotected data and the different levels that will govern their accessibility andreuse. Preliminary data will be gathered from deployment of the newfeatures testing the degree of increased data sharing assurance to PIs who
may otherwise be apprehensive about sharing data and fulfilling their NSF
grant data management requirements.

https://polardataforum.or
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IV_oral_Pasch.pdfhttps://youtu.be/bpwTGO
opMBI

and OutreachNational Center for
Ecological Analysis
and Synthesis(NCEAS)
University ofCalifornia, Santa
Barbara, USA
Dr. Andrey Petrov
Professor of
Geography
President,International Arctic
Social Sciences
Association (IASSA)
University ofNorthern Iowa, Cedar
Falls IA, USA
Jonathan Blythe
Scientific DataManager
Environmental
Studies Program
United States Bureauof Ocean Energy
Management
Washington DC, USA

William F.
ManleyDr.
Pirazzini, Roberta
she/her
FinnishMeteorological
Institute
Roberta.Pirazzini@fmi.fiMembers of the
Polar Observing
Assets Working Grouphttps://www.polarob
servingassets.org

Optimizing Arctic
Observing
Through
Interoperable
Information
Sharing Across
Networks

A fundamental challenge exists for assessment, planning, and synthesis of
Arctic observing. Assets such as sites, transects, observatories, projects, andprograms are deployed in a diverse and distributed fashion across numerous
observing systems. At this time, it is difficult to strategically assess status,
overlap, and gaps because most inventories and portals are limited in scope.
Furthermore, only a fraction of observing systems share information about
observing assets in a way that can be accessed, harmonized, and aggregatedfor a comprehensive perspective. To help address this challenge, a new“Polar Observing Assets Working Group” has been formed under the SAON
Committee on Observations and Networks (CON; see
https://polarobservingassets.org). This group builds upon steps taken by the
Polar data community for the interoperability of “dataset-level” metadata,
but in this case for discovery-level details in “asset-level” metadata. The
group will identify and promote best practices for the use of relevant
metadata standards, controlled vocabularies, crosswalks, federated search,and linkages to scientific datasets. For more details on three identified tasks,
see https://www.polarobservingassets.org. Outcomes will make it easier for
networks and planners to avoid duplicated effort while optimizing resources.
Participation is open and encouraged, and will help to showcase andintegrate the summed contributions of multiple systems.

https://polardataforum.or
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IV_oral_Manley.
pdf

https://youtu.be/pXWQ3T
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