#  DATA SUMMARY

What is the purpose of the data collection/generation and its relation to the
objectives of the project?

The project e.THROUGH wants to help to improve availability of qualified and
skilled workforce leading to higher competitiveness of the EU CRM industry.
e.THROUGH will contribute to improving transparency and communication in
general by looking at multidisciplinary oriented research on mining
development.

The specific objectives of the project are:

_O.1_ To promote new trends in the characterization and exploration of mineral
deposits, in order to link planning with the sustainable development of
mineral deposits both regional, nationally and globally;

_O.2_ To map (C)RMs between EU mining regions, identifying synergies between
(C)RM value chains, market and societal stakeholders and also operational
synergies between R&I investments within and across the regions;

_O.3_ To gain fundamental and applied knowledge on emerging technologies for
recovery secondary CRMs (e.g.

W, Ga, In and Cr) with value for industry, from mine tailings and other
fluxes;

_O.4_ To redesign structures and construction materials using secondary
materials, closing loops, strongly supporting waste minimization in society;

_O.5_ Life Cycle Assessments (LCA) for the evaluation of global environmental
impacts, comparing new methods with existing technologies, as well as
redesigned products with conventional ones, aiming to monitor progress in
sustainable production and consumption;

_O.6_ To transfer newly generated knowledge to stakeholders, contributing for
policy development and standardization, as well as for shaping responsible and
sustainable behaviours.

So, taking into account the rich region-specific geographies of the
consortium, a great deal of knowledge will be shared by both Early Stage
Researchers (ESR) and Experienced Researchers (ER), who will interact during
the project, contributing to understand what has been conducive and what
hampering to the development of extractive and metallurgical industries. It
will also provide the context for a bottom-up integration of these activities
into their respective interdisciplinary fields, for sure enriching this
skilled workforce, leading to higher competitiveness of the EU CRM domain.
e.THROUGH will build and extend the knowledge base by exchanging experience
and mutual learning among intersectoral and multidisciplinary partners, which
will provide new learning opportunities, using existing infrastructure and
available research facilities. Partners depicting e.THROUGH programme of
innovation activities and knowledge transfer capitalize on past projects from
the consortium (e.g. FP7 project HydroWEEE-DEMO, LIFE project PHOTOLIFE, H2020
MSP – REFRAMMulti-Stakeholder Platform for a Secure Supply of Refractory
Metals in Europe), and ongoing projects (e.g., INTERREG Europe REMIX – Smart
and Green Mining Regions of EU, MIREU – Mining and Metallurgy Regions of EU
(H2020-SC5-2017-776811), European Institute of Innovation and Technology (EIT)
RM TravelEx -

Underground Resources Travelling Exhibition).

The generated scientific relevant knowledge will also be transferred to
relevant stakeholders with the special focus on mining regions, in order to
help shape individual citizens’ behaviour. Two stakeholder workshops will take
place, in combination with the ongoing REMIX project (the first at month 12,
in Fundão, Portugal).

What types and formats of data will the project generate/collect?

e.THROUGH WP5 will provide support on Communication and Dissemination, in
delivering knowledge gained during the project. This knowledge will be semi-
structured (e.g., formatted datasets) or non-structured (documents, graphs,
tables, pictures, etc.), and properly indexed in order to be retrievable and
exploitable.

Concerning the type of data to be produced, it is split among reports,
articles, databases, and a photo album.

Most of the data will be in pdf format followed by .docx, xlsx and then
jpeg/avi/ wmv and similar audio/video formats.

Will you re-use any existing data and how?

Some existing datasets are proposed to be used, such as ProMine and
OneGeology. Furthermore, e.THROUGH will benefit from developments for other
past and on-going H2020 projects (MIREU, REMIX, etc.) (see first answer), in
order to maximize efficiency of EC funding.

What is the origin of the data?

See above question.

What is the expected size of the data?

N/A

To whom might it be useful ('data utility')?

Public and private organizations; (2) Academia and (3) General public. In
fact, to all stakeholders who are interested to facilitate exchange of
knowledge with critical raw materials production and recovering capacities,
including:

  * individual EU citizens searching for information on raw materials, 

  

  * mining companies carrying out exploration or planning on investing in EU, 

  

  * relevant competent authorities, private sector, research and academic organisations, civil society and local communities, and experts, 

  

  * political decision makers on matters related to mineral raw materials both EU, regional and national 

  

level,

  * NGO´s, 

  

2\. FAIR DATA

#  1\. Making data findable, including provisions for metadata

Are the data produced and/or used in the project discoverable with metadata,
identifiable and locatable by means of a standard identification mechanism
(e.g. persistent and unique identifiers such as Digital Object Identifiers)?

The vast majority is open access data, although some is confidential and
restricted. The data users will be able to locate the original data sources,
as links to these web services will be included in deliverables and the
project website.

What naming conventions do you follow?

European Minerals Knowledge Data Platform (EU-MKDP) service Registry naming
conventions.

Will search keywords be provided that optimize possibilities for re-use?

In the project website, keywords will be used as tags to ensure that search
engines will easily find them. Pertinent applications (e.g., thematic
searches, statistics, etc.) will be defined, in order to facilitate diffusion
of knowledge and ease networking and exchange of information.

Do you provide clear version numbers?

Clear version numbers will be provided, whenever the deliverable/data is
planned to be updated.

What metadata will be created? In case metadata standards do not exist in your
discipline, please outline what type of metadata will be created and how.

In e.THROUGH metadata will be created following the INSPIRE directive in all
possible instances.

##  Making data openly accessible

Which data produced and/or used in the project will be made openly available
as the default? If certain datasets cannot be shared (or need to be shared
under restrictions), explain why, clearly separating legal and contractual
reasons from voluntary restrictions.

All data produced/used will be available at least for viewing. Some of the
data will be available for downloading, for example the public deliverables.
It may not be possible to enable downloading of all of the data due to
copyright and IP issues. E.g. part of the data is owned by the partners in
each country.

How will the data be made accessible (e.g. by deposition in a repository)?

Data (e.g. generated papers) will be made accessible by deposition in a
repository.

What methods or software tools are needed to access the data? Is documentation
about the software needed to access the data included? Is it possible to
include the relevant software (e.g. in open source code)? Is there a need for
a data access committee?

Data can be accessed through internet without need for special software,
standard free internet browser (e.g. Google Chrome) and pdf reader will be
sufficient. As the data can be viewed and accessed with standard tools there
will be no need for specific software documentation or specific software to be
downloadable with the data. Neither is there any need to set up a data access
committee.

Where will the data and associated metadata, documentation and code be
deposited? Preference should be given to certified repositories which support
open access where possible. Have you explored appropriate arrangements with
the identified repository?

The guidelines for achieving INSPIRE compliance, including recommendations for
metadata population, will be used.

If there are restrictions on use, how will access be provided? Are there well
described conditions for access (i.e. a machine readable license)? How will
the identity of the person accessing the data be ascertained?

There will be no restrictions to access the data for viewing.

##  Making data interoperable

Are the data produced in the project interoperable, that is allowing data
exchange and re-use between researchers, institutions, organisations,
countries, etc. (i.e. adhering to standards for formats, as much as possible
compliant with available (open) software applications, and in particular
facilitating re-combinations with different datasets from different origins)?

e.THROUGH produced data will be made fully compatible with (i) the Minerals4EU
European Minerals Knowledge Data Platform (EU-MKDP, see
http://minerals4eu.brgm-rec.fr/), and (ii) the JRC Raw Materials Information
System 2.0 (RMIS 2.0), depending on its specifications (unknown yet), in order
to facilitate the link between the platforms.

What data and metadata vocabularies, standards or methodologies will you
follow to make your data interoperable?

The data on mining regions will be interoperable, e.g. because standard
lexicon on mineral deposits has been defined and further developed during
previous projects such as ProMine and Minerals4EU.

Will you be using standard vocabularies for all data types present in your
data set, to allow inter-disciplinary interoperability?

Standard vocabularies will be used whenever possible. All prodeced knowledge
will be delivered in supports of various types, either semi-structured (e.g.
datasets) or non-structured (e.g. reports, abstracts, charts, graphs, etc.).

In case it is unavoidable that you use uncommon or generate project specific
ontologies or vocabularies, will you provide mappings to more commonly used
ontologies?

If there is a need to create e.THROUGH specific ontologies or vocabularies,
mappings to more commonly used ontologies will be provided.

##  Increase data re-use (through clarifying licences)

How will the data be licensed to permit the widest re-use possible? When will
the data be made available for re-use? If an embargo is sought to give time to
publish or seek patents, specify why and how long this will apply, bearing in
mind that research data should be made available as soon as possible.

The consortium agreement signed inter alia specifies the terms and conditions
pertaining to ownership, access rights, exploitation of background and results
and dissemination of results, in compliance with the grant agreement and
Regulation n°1290/2013 of December 11  th  , 2013.

Results of the e.THROUGH project will be made publicly available, free of
charge.

Information exchanged during closed consultation with external participants
(e.g. during the two Stakeholder workshops) will be subject to a Non-
Disclosure Agreement. The classification level of the information to be shared
will be defined be the Steering Group (public or restricted) and monitored by
the Project Coordinator (WP1).

The data used in e.THROUGH can be freely viewed and the public reports and
training material produced can be freely downloaded. There will be no licences
concerning the data.

Are the data produced and/or used in the project useable by third parties, in
particular after the end of the project? If the re-use of some data is
restricted, explain why. How long is it intended that the data remains
reusable?

e.THROUGH website and the data portals serving the data will be in operation
also after the end of the project. The data portal is intended to be more or
less permanent services, however it is also possible that they could be
replaced by a comparable but more advanced service in the future.

Are data quality assurance processes described?

Yes.

#  ALLOCATION OF RESOURCES

What are the costs for making data FAIR in your project? How will these be
covered? Note that costs related to open access to research data are eligible
as part of the Horizon 2020 grant (if compliant with the Grant Agreement
conditions).

e.THROUGH project has been designed so that the data is FAIR (findable,
accessible, interoperable and reusable), but it is not possible to express in
numbers what is the cost of that.

Who will be responsible for data management in your project?

In e.THROUGH, NOVA as the Coordinator has the main responsibility of data
management, however the decisions will be made in the Steering Committee.

Are the resources for long term preservation discussed (costs and potential
value, who decides and how what data will be kept and for how long)?

The e.THROUGH website will be freely accessible on the internet and hosted on
FCT NOVA servers during the lifetime of the project (note that a perennial
solution for hosting it beyond the lifetime of the project will have to be
sought).

#  DATA SECURITY

What provisions are in place for data security (including data recovery as
well as secure storage and transfer of sensitive data)? Is the data safely
stored in certified repositories for long term preservation and curation?

The servers serving the data are secured by standard means such as firewalls
and automatic backing up. Data in servers can be recovered by standard
recovery procedures. The project does not deal with sensitive data; any
personal information collected during the project will be made anonymous by
the end of the project.

#  ETHICAL ASPECTS

Are there any ethical or legal issues that can have an impact on data sharing?
These can also be discussed in the context of the ethics review. If relevant,
include references to ethics deliverables and ethics chapter in the
Description of the Action (DoA).

The data in the data portals is not sensitive in any way and does not contain
any personal information. The IP rights are respected by acknowledging data
sources. Public project deliverables contain names and organisational
information of some of the people involved in producing the deliverable, but
people are informed and publishing that personal information does not create
any risks to anyone.

Is informed consent for data sharing and long term preservation included in
questionnaires dealing with personal data?

In the case there will be questionnaires, used for collecting information on
data, there will be an option to fill in the questionnaire anonymously. All
replies will be made anonymous after the information collected has been
analysed, at latest by the end of the project.

In e.THROUGH, Lyyti registration system (or a similar kind) will be used to
collect personal information to NOVA´s register of participants of events. It
can be used for registering participants of stakeholder events and internal
meetings. As the EU legislation on personal information came into effect on 25
May 2018, it is not possible to submit Lyyti registration forms without
accepting the privacy policy statement, which describes in detail how the
submitted personal information will be managed. All information on the
participants will be removed from the register at the latest after one month
after the end of each event. In addition, the privacy policy statement
explains that names and organisational information of participants may be
permanently stored in reports describing each event.

#  OTHER ISSUES

Do you make use of other national/funder/sectorial/departmental procedures for
data management? If yes, which ones?

Not now.

#  FURTHER SUPPORT IN DEVELOPING YOUR DMP

  * The Research Data Alliance (see https://www.rd-alliance.org) provides a _Metadata Standards_

  

_Directory_ that can be searched for discipline-specific standards and
associated tools.

  * The _EUDAT B2SHARE_ tool (see https://trng-b2share.eudat.eu) includes a built-in license wizard that facilitates the selection of an adequate license for research data. 

  

  * Useful listings of repositories include: 

  

_Registry of Research Data Repositories_ (see https://www.re3data.org/)

Some repositories like _Zenodo_ an OpenAIRE and CERN collaboration, allow
researchers to deposit

both publications and data, while providing tools to link them.

Other useful tools include _DMP online_ (see https://dmponline.dcc.ac.uk/) and
platforms for making

individual scientific observations available such as ScienceMatters (see
https://www.sciencematters.io/).

#  CONCLUSIONS

This Data Management Plan (DMP) is a flexible and living document, that will
be reviewed and updated as needed, as the project proceeds. It has a clear
version number also allows the e.THROUGH project team to adapt to future
developments, especially the lessons learned from the first months of the
project and its initial activities/secondments. As a minimum timetable for
updates, this DMP will be updated in the context of the periodic
evaluations/assessments of the project.

Finally, it is crucial to ensure the sustainability of the Data Management
strategy so that the knowledge developed within the project continues to exist
beyond the life cycle of the project.