# How to work together successfully with e-Humanities and e-Heritage Research Infrastructures (PARTHENOS Webinar)

Klaus Illmayer, Marie Puren

## ► To cite this version:

Klaus Illmayer, Marie Puren. How to work together successfully with e-Humanities and e-Heritage Research Infrastructures (PARTHENOS Webinar). 3rd cycle. PARTHENOS eHumanities and eHeritage Webinar Series, Germany. 2018. cel-01731455

HAL Id: cel-01731455

https://hal.science/cel-01731455

Submitted on 14 Mar 2018

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers.

L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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Distributed under a Creative Commons Attribution 4.0 International License
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PARTHENOS

Pooling Activities, Resources and Tools
for Heritage E-research Networking.
Optimization and Synergies

A Webinar of the PARTHENOS
eHumanities and eHeritage Series
#lovedata2018

# How to work successfully with eHumanities and eHeritage Research Infrastructures: The Devil is in the Details!

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(Klaus Illmayer and Marie Puren)

Pictures Mork and Tork Cartoon CC-BY Agathe Gastaldi

Webinar start: 13.02.2018, 11:00 CET

Moderation: Ulrike Wuttke

(University of Applied Sciences Potsdam)

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Fachhochschule Potsdam
University of
Applied Sciences

Join the conversation on Twitter:

#PARTHENOSWebinar

@Parthenos_EU
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PARTHENOS

Pooling Activities, Resources and Tools
for Heritage E-Research Networking,
Optimization and Synergies

<figure><img src="image_8.png" /></figure>

Fachhochschule Potsdam
University of
Applied Sciences

# PARTHENOS eHumanities and eHeritage Webinar Series

How to work
successfully with
eHumanities and
eHeritage

Infrastructures:
The Devil is in the
Detail!

Marie Puren Ph.D.
(Inria, Paris, France) &
Klaus Illmayer
(ACDH-OEAW, Austria)

<figure><img src="image_9.png" /></figure>

Date and Time: 13.02.2028, 11:00 - 12:00 CET

Moderation: Ulrike Wuttke

(University of Applied Sciences Potsdam)

Join the conversation on Twitter:

#PARTHENOSWebinar

@Parthenos_EU

<figure><img src="image_10.png" /></figure>

Unless otherwise stated this work is licensed under a [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/).

Graphic: Otto, the Open Access Otter CC-BY 4.0, Katja Diederichs
# Some Housekeeping...

* As a participant you will be **muted** and not be seen throughout the webinar.

* For **questions** and **remarks** please use the **chat**. For questions, please use the word **question**.

* Your questions are going to be answered by the trainers during / after the presentation.

* If you have **sound problems**, please test your technical settings. You have to click on the **speaker symbol** on top to to be able to hear (it has to be **green**).

* **Help us improve:** Follow up e-mail with a link to a short **feedback survey**.
<figure><img src="image_11.png" /></figure>

# Some words about PARTHENOS...

* PARTHENOS stands for: Pooling Activities, Resources and Tools for Heritage eResearch Networking, Optimization and Synergies

* PARTHENOS is a **Horizon 2020** project with the aim to **strengthen the cohesion of Heritage related E-research**

* Running time: 1 May 2015 - 30 April 2019

* PARTHENOS has 16 partners from 9 European countries

* PARTHENOS Coordinator: PIN Scrl (Italy)

* The PARTHENOS webinar series is a **cross PARTHENOS training effort**

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# How to work successfully with eHumanities and eHeritage Infrastructures: The Devil is in the Details

## Trainers

<figure><img src="image_13.png" /><figcaption>**Dr Marie Puren**
(Inria, Paris, France)</figcaption></figure>

## Moderation

FH;P

Fachhochschule Potsdam
University of
Applied Sciences

<figure><img src="image_14.png" /><figcaption>**Dr Ulrike Wuttke**
(University of
Applied Sciences
Potsdam,
Germany)</figcaption></figure>

<figure><img src="image_15.png" /><figcaption>Picture Klaus Illmayer:
CC-BY 4.0 Sandra Lehecka</figcaption></figure>

<caption>**Klaus Illmayer**
(ACDH-OEAW, Austria)</caption>
## Warm up: Tell us where you are

- Klaus Illmayer (Vienna - Austria, [ACDH-OEAW](https://www.acdh-oew.org/))

- Marie Puren (Paris - France, [INRIA](https://www.inria.fr/))

- Ulrike Wuttke (Potsdam - Germany, [FHP](https://www.fhp.de))

Now tell us the **place** from where you are participating:

* Please use the **chat function** (you can find it at the bottom on the right side)

* If you don't see it, please **close the full screen**

* You can use the chat function to **ask questions**. We will answer it after our presentation in the Q&A section
# Covered topics

* e-Infrastructures

* Preparing data

* FAIR data principles

* Standards (Standardization Survival Kit - SSK)

* Conclusions

* Q&A
# eHumanities and eHeritage Research Infrastructures

Definitions - let's have a look at **PARTHENOS**:

* “Pooling **Activities, Resources and Tools** for Heritage E-research Networking, Optimization and Synergies”

* Focus on **research communities** from humanities and heritage

* **Connect** analog and digital research, **connect** digital infrastructures; **harmonize** standards; **share** best practices

* **Examples:** Joint Resource Registry, Standardization Survival Kit (SSK), collection of recommendations and best practices, ...

* **PARTHENOS** itself is an **e-Infrastructure**
# What is a Research e-Infrastructure?

* A **community** driven **digital environment** for research

* Allowing community members to work together in means of **shared** communication, resources, tools and services

* More extended: Virtual Research Environments (VRE)

* Bundle communication, resources, tools and services to establish a **digital workflow**, tailored to the needs and practices of the community

* Even more extended: Combine different communities

* Ideally: A technical framework to support the **research data life cycle**
Research data life cycle #1

UK Data Archive Research Data Lifecycle, http://www.data-archive.ac.uk/create-manage/life-cycle

Copyright: University of Essex

<figure><img src="image_16.png" /></figure>
Research data life cycle #2

* Steps of the life cycle rely on **different tools and services**

* **Different practices** behind these steps, e.g. preserving data with a digital archive like ACDH's **ARCHE**

* **Data** that goes through the life cycle may **initiate a new life cycle**

* **Combination** of different tools, services and e-Infrastructures (and you may need to rearrange it)
# Scope of e-Infrastructures

* Enabling **sharing**

* Scales up: **From** a simple communication **tool** to a **platform** that deliver services, integrate tools and supports work with data

* Different **sizes** of e-Infrastructures: smaller ones may fit better for specific research purposes

* A small e-Infrastructure: your local computer and the environment you set up for doing your research work
# Examples of e-Infrastructures

* Research projects using digital tools and services

* Institutions: ACDH-OEAW, INRIA, ...

* National consortia: DARIAH-DE, CLARIAH-NL, DHA, ...

* Transnational networks: CLARIN ERIC, DARIAH-EU, RDA, OpenAIRE, ...

* Data hubs: Europeana, HAL, Zenodo, GitHub, ...
# How an e-Infrastructure should look like #1

Users of an e-Infrastructure should not be bothered with the technical background:

* **Integrating** hardware and software **silent**: researchers want to work on their data and not on the setup of the e-infrastructure

* The technical configuration needs to be **transparent**, preventing a “black box”

* Providing an **easy entry point** so that users can work immediately
# Requirements for working with an e-Infrastructure

* Have a **research question** and even better, have **research data**

* If you have a **running project** or a **project in preparation, connect with an e-infrastructure** on how to integrate your data

* Understand how to integrate your data: Which standards are in use? Are there access points where you can put or get data from (API)?

* Some e-Infrastructures **support** you in **creating data**, which is of relevance if you don't have data already gathered

* Define your **requirements** for data to compare different e-Infrastructures
How an e-Infrastructure should
look like #2

* A rich combination of data, services and tools that allows to create data, to gather data and to connect data for research questions

* Supports the implementation of research data life cycle steps

* Valuable interfaces to integrate research data

* Facilitate research and harvest research data

* Be aware: There is no one-approach-fits-it-all e-Infrastructure
## How to connect with an e-Infrastructure?

* **Ask** colleagues

* **Discuss** in your community

* **Connect** with local support institutions

* **Contact** an e-infrastructure

* **Compare** e-Infrastructures to identify the best fitting approach

* **Combine** e-Infrastructures with other e-Infrastructures, with (self-developed) services, and with [tools](#)

* **Create** a digital workflow
Further information on e-
Infrastructures

* PARTHENOS Training: Introduction to Research Infrastructures
http://training.parthenos-project.eu/sample-page/intro-to-ri/

* Open Data Institute: What is data infrastructure?
https://theodi.org/what-is-data-infrastructure

* European Commission: Policies - e-Infrastructures
https://ec.europa.eu/digital-single-market/e-infrastructures

* European Commission: Infrastructure publications
https://www.commission.europa.eu/pages/e-infrastructure/publications
# Take away messages e-Infrastructures

* E-Infrastructures **connect** you with stakeholders

* For Researchers:

* e-Infrastructures **support** you

* ... give you **access to data** for research

* ... **create impact** for research

* For Cultural Heritage Institutions:

* e-Infrastructures **raise dissemination** of data

* ... enable researchers to **work** with data

* ... deliver new **insights** into data

* To succeed, it requires **data quality** => **community effort**
# Data quality is important

* Identify for your project **what is data**

* Create **structured** data

* Make a **data management plan** (DMP)

* Publish your data as [open](#) as possible

Data quality is about:

* Apply **FAIR** data principles

* Use **standards**

Key to success: **Preparation** and **continuous** work on data quality
Are you aware of the FAIR data
principles?

* We prepared a poll

* Please close the full screen window to see it

* Take your vote!
# What are the FAIR data principles?

Findable
Accessible
Interoperable
Reusable

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# The FAIR data principles

* Compiled by FORCE11

* https://www.force11.org/group/fairgroup/fairprinciples

* Guiding principles: https://www.force11.org/fairprinciples

* Generic principles to raise data quality

* Applying them supports the research data life cycle

* ... and the further development of e-Infrastructures

* Different ways to implement them

* Asks for involvement of all stakeholders
Data as increasingly FAIR Digital Objects

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Taken from FORCE11 website:
[https://www.force11.org/fairprinciples](https://www.force11.org/fairprinciples)
Further information on FAIR data principles

* PARTHENOS training: Manage, Improve and Open up your Research and Data:

http://training.parthenos-project.eu/sample-page/manage-improve-and-open-up-your-research-and-data/

* FAIRsharing: https://fairsharing.org/

* GO FAIR: https://www.go-fair.org/

* Outcome PARTHENOS Work Package 3: Support tool for the implementation of common policies

* Make your data FAIR!
# How can I make my data FAIR?

A **Data Management Plan**
"helps 2020 beneficiaries make their research data
**Findable, Accessible, Interoperable and Reusable (FAIR) [...]."

H2020 Programme Guidelines on FAIR Data Management in
Horizon 2020, Version 3.0, 26 July 2016, p.3.
# How can I make my data FAIR?

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(Picture Research Lifecycle:
PARTHENOS CCO)

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# What is a Data Management Plan (DMP)?

**DATA MANAGEMENT PLAN?**

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# What is a Data...

> "Research data is data that is **collected, observed, or created**, for purposes of analysis to produce **original research results**."

Margaret E. Henderson,

*Data Management: A practical guide for librarians*, 2016, p.2.
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PARTHENOS

Pooling Activities, Resources and Tools
for Heritage E-research Networking,
Optimization and Synergies

<figure><img src="image_26.png" /></figure>

# What is a Data...

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Unless otherwise stated this work is licensed under a [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/).
...Management...

* An ongoing **maintenance** (backup, migration, conversion...)

* An **action plan** in terms of data quality, technical feasibility and financial viability

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* Identifying and making **visible** the actions to be conducted

* Planning **key stages, deadlines** and **critical time periods**
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## ...Management...

Manage your data, don't let your data manage you!

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...Plan?

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...Plan?

When you create a DMP, you explain how data will be:

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# And in practice?

Why would my data be FAIR with a DMP?

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# And in practice?

## Why would my data be FAIR with a DMP?

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In practice, my data are findable
because I...

* Pick a **naming convention** (and stick to it)

* Provide clear **version numbers**

Findable

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EXAMPLE:
`title_project_identifier_v2_yyyymmdd`

* Create **metadata** describing your data

* Include **appropriate standards** for the content and format of your data
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# In practice, my data are findable because I...

## Create metadata (among other things)

### Metadata are data about data

#### Alice's adventures in Wonderland ; Through the looking glass

**Auteur :** Lewis Carroll

**Éditeur :** New York : Barnes & Noble, Inc., 2015.

**Édition/format :** Livre imprimé : Fiction : Public jeunesse :

Anglais Voir toutes les éditions et tous les formats

**Résumé :** Lewis Carroll's novels Alice's Adventures in Wonderland and Through the Looking Glass (first published in 1865 and 1871, respectively) have entrained readers young and old for more than a century. Their magical worlds, amusing characters, clever dialogue, and playfully logical illogic epitomize the wit and whimsy of Carroll's writing. Alice's Adventures in Wonderland transports you down the rabbit-hole into a **Lire la suite...**

**Évaluation :** ⭐☆☆☆ (pas encore évalué) ⌨️ 0 avec des critiques - Soyez le premier!

<figure><img src="image_41.png" /></figure>

**Sujets :** Alice -- (Fictitious character from Carroll)

Alice (Fictitious character : Carroll) -- Juvenile fiction.

**Plus comme ceci :**

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<figure><img src="image_43.png" /></figure>

Ouvrages semblables

<figure><img src="image_44.png" /></figure>

Provides information on

<figure><img src="image_45.png" /></figure>

Real world

Worldcat

<figure><img src="image_46.png" /></figure>
<figure><img src="image_47.png" /></figure>

In practice, my data are accessible
because I...

Accessible

<figure><img src="image_48.png" /></figure>

* Deposit my data and associated metadata in a **research data repository** that will identify my data with a unique persistent identidire (such as DOI or Digital Object Identifier) (E.g. [Zenodo](https://doi.org/10.5269/zenodo.1234567)).

**TIP** - I can find a research data repository with [re3data](https://re3data.org/) or "Registry of Research data Repositories" that is a catalog of research data repositories.

* Precise which **methods and software tools** are needed to access my data

<figure><img src="image_49.png" /></figure>
<figure><img src="image_50.png" /></figure>

# In practice, my data are interoperable because I...

* Use **standards** to modelize and describe my data

* Use **standards vocabularies or ontologies** for the metadata I created

Interoperable

<figure><img src="image_51.png" /></figure>

**DEFINITION** – In addition to metadata and standardised metadata schemas, research infrastructures can also use other forms of “knowledge representation system” to enhance the researcher’s experience of the interoperable data they present. When we talk about ‘Knowledge Representation Systems’ in research infrastructures, we usually mean a specific category of hierarchical systems of terms known more commonly as an ‘ontology’. Before the digital age, philosophers referred to an ontology as “the study of the kinds of things that exist”. Ontologies are similar to taxonomies [...].”, PARTHENOS, What Are Knowledge Representation Systems and 'Ontologies'?
In practice, my data are reusable
because I...

Reusable

<figure><img src="image_52.png" /></figure>

* Have obtained the **informed consent** for people participating to the research (if needed)

* License my data with a licence as open as possible

**TIP**- I can use the [Creative Commons](https://creativecommons.org/licenses/by/4.0/) framework to combine 4 license types, precising the rights I give up or not.

* Store data in a long-term archive.
# The Devil is in the details

If you want make your data FAIR!
# Standards are crucial for research

"Standards are a **key to great digital research**, which helps to discover and understand our cultural and societal life."

**Laurent Romary**, chairman of the Technical Committee
"Terminology and other language and content
resources" of the International Organization for
Standardization (**ISO**)
<figure><img src="image_53.png" /></figure>

# What are standards?

* They **inform** you about practices, protocols, artefact characteristics or data formats.

* They can be used as **reference** when you work with colleagues from your field, so that you can produce **comparable or interoperable** results.

* They are **not regulation**, you don't have to follow them (but you should).

* They are published and maintained by **standards organizations** such as

<figure><img src="image_54.png" /></figure>

<figure><img src="image_55.png" /></figure>

<figure><img src="image_56.png" /></figure>
# What are standards?

To be called "standards", they must fulfill three requirements:

* They express a **consensus**

* They are published and easily **accessible**

* They are **maintained**
# Why standards?

Truan, Naomi. 2016. Parliamentary Debates on Europe at the Deutscher Bundestag (1998-2015) [Corpus]. ORTOLANG (Open Resources and TOols for LANGuage).
[https://hdl.handle.net/11403/de-parl](https://hdl.handle.net/11403/de-parl)

Truan, Naomi. 2016. Parliamentary Debates on Europe at the House of Commons (1998-2015) [Corpus]. ORTOLANG (Open Resources and TOols for LANGuage).
[https://hdl.handle.net/11403/uk-parl](https://hdl.handle.net/11403/uk-parl)

Truan, Naomi. 2016. Parliamentary Debates on Europe at the Assemblée nationale (2002-2012) [Corpus]. ORTOLANG (Open Resources and TOols for LANGuage).
[https://hdl.handle.net/11403/fr-parl](https://hdl.handle.net/11403/fr-parl)

List of metadata in the
<teiHeader>:

• <fileDesc>

• <encodingDesc>

• <profileDesc>

• <revisionDesc>

<figure><img src="image_57.png" /></figure>
# Why standards?

* A metadata schema consists of a definite set of characteristics to describe data.

**DEFINITION** - It is "a labeling, tagging or coding system used for recording cataloguing information or structuring descriptive records. A metadata schema establishes and defines data elements and the rules governing the use of data elements to describe a resource", Open data support

* One of the most commonly used metadata standard is [Dublin Core](https://www.dublincore.org/).
Why standards?

NO METADATA
NO FUTURE
<figure><img src="image_58.png" /></figure>

# How to identify relevant standards for my research?

## HOW STANDARDS PROLIFERATE:
(SEE: A/C CHARGERS, CHARACTER ENCODINGS, INSTANT MESSAGING, ETC)

<figure><img src="image_59.png" /></figure>

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xkcd - "How standards proliferate"

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# The Standardization Survival Kit (SSK)

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## Homepage
# The Standardization Survival Kit (SSK)

Documenting

Supporting

Communicating

Training
<figure><img src="image_64.png" /></figure>

# The Standardization Survival Kit (SSK)

## Collaborative Digital Edition of a Musical Corpus

A project aims to do a digital edition of a musical corpus. The researchers need to be able to encode a broad range of musical documents in a machine-readable structure. The data to be encoded may include the musical content as provided by the composer (notes, pitches, durations, dynamics, etc.), information on the score (incipit, lyrics writer, etc.), information added by a performer when interpreting the content (timing, phrasing, various annotations, etc.), information on the visual appearance of the score (page layout, musical font, etc.) and analyses of the content in any of the other domains. The edition will be structured around a database in order to allow the users to explore it more easily. Furthermore, the project intends to be collaborative, which means it will offer anyone interested the possibility to contribute.

<figure><img src="image_65.png" /></figure>

## A research scenario (description)

<figure><img src="image_66.png" /></figure>
<figure><img src="image_67.png" /></figure>

PARTHENOS

Pooling Activities, Resources and Tools
for Heritage E-Research Networking,
Optimization and Synergies

FH;P

Fachhochschule Potsdam
University of
Applied Sciences

# The Standardization Survival Kit (SSK)

<figure><img src="image_68.png" /></figure>

1

Create a digital
corpus of
musical
compositions.

2

Change format
into MEI files if
necessary.

3

Collect and
organize
metadata

4

Enrich the
metadata of MEI
files

5

Enrich the
musical edition
with critical
apparatus
metadata

6

Enrichment of
MEI files

7

Present in an
open source
digital CMS the
result of the
musical edition.

8

Offer anyone
interested the
possibility to
contribute

9

Have a reflexion
on the quality of
the produced
data.

<figure><img src="image_69.png" /></figure>

## A research scenario (steps)

<figure><img src="image_70.png" /></figure>

Unless otherwise stated this work is licensed under a [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/).
<figure><img src="image_71.png" /></figure>

# The Standardization Survival Kit (SSK)

<figure><img src="image_72.png" /></figure>

A research scenario (resources)
# The Devil is in the details!

* Improve your data and share them by using the services offered by **e-Infrastructures**

* Write a **DMP** to make your data FAIR

* Pay attention to "details", such as **standards**

* Choose the best suited standards for your data by using the **Standardization Survival Kit (SSK)**
Take away message

For better data,
don't mess with the Devil...
don't mess with **standards**!

<figure><img src="image_73.png" /></figure>
Questions & Answers

<figure><img src="image_74.png" /><figcaption>(Picture CCO https://pixabay.com/photo-2999583/)</figcaption></figure>
# Announcements

* Next PARTHENOS webinar:

* “Research Infrastructures: Beyond tools – General introduction” (Steven Krauwer, Stefan Schmunk), 22.02.2018, 11:00 CET

* **New PARTHENOS Training Suite module:**
  Manage, Improve and Open Up Your Research and Data

* New clips with **Mork and Tork Cartoon**
  about Standards in several languages

* Launch **Standardization Survival Kit (SSK)** (soon!)

* PARTHENOS Webinar Workshop at the European Summer University in Digital Humanities 2018 (ESU), Leipzig
Questions & Answers

<figure><img src="image_75.png" /><figcaption>(Picture CCO https://pixabay.com/photo-2999583/)</figcaption></figure>
Thank you for joining us!

✓ Please help us improving the PARTHENOS Webinar Series and fill out the short Feedback Survey that we'll sent you in a follow-up e-mail.

<figure><img src="image_76.png" /></figure>

(Picture: CCO https://pixabay.com/photo-1889007/)
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PARTHENOS

Pooling Activities, Resources and Tools
for Heritage E-Research Networking,
Optimization and Synergies

<figure><img src="image_78.png" /></figure>

Fachhochschule Potsdam
University of
Applied Sciences

PARTHENOS eHumanities and eHeritage Webinar Series

Moderation and
Contact:

Dr Ulrike Wuttke
(University of Applied
Sciences Potsdam)

wuttke@fh-potsdam.de

Twitter: @UWuttke

www.parthenos-project.eu

www.fh-potsdam.de

<figure><img src="image_79.png" /></figure>

Join the conversation on Twitter:

#PARTHENOSWebinar

@Parthenos_EU

<figure><img src="image_80.png" /></figure>

Unless otherwise stated this work is licensed under a [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/).

Graphic: Otto, the Open Access Otter CC-BY 4.0, Katja Diederichs