SlideShare una empresa de Scribd logo
1 de 19
Services to support FAIR data
Sarah Jones
Digital Curation Centre, Glasgow
sarah.jones@glasgow.ac.uk
Twitter: @sjDCC
24 April 2019, University of Vienna
A series of three workshops
1. Prague, April 12 2019 | EOSC-hub week
• Target audience: Service providers and research infrastructures
2. Vienna, April 24 2019 | Linking Open Science
• Target audience: Research support staff & researchers
3. Porto, September 17 2019 | Open Science FAIR
• Target audience: Service users and service providers
https://www.openaire.eu/workshops-series-services-to-support-fair-data-
from-theory-to-implementation
Workshop objectives
• Share perspectives on how to support researchers
with FAIR
• Explore existing services and extensions needed
to support FAIR research outputs
• Explore how existing services and infrastructures
can work together
• Identify priorities & recommendations for
supporting FAIR data
Report planned
White paper to the EOSC EB working group on FAIR noting
challenges, recommendations & priorities for services
Mustapha Mokrane
FAIRsFAIR
Daniel Bangert
RDA Europe
Emilie Hermans
OpenAIRE
Rene van Horik
EOSChub
European Open Science Cloud (EOSC)
“offer 1.7 million European researchers and 70 million professionals in
science and technology a virtual environment with free at the point of
use, open and seamless services for storage, management, analysis and
re-use of research data, across borders and scientific disciplines”
• Add value
• Federate, don’t reinvent
• Be research / user-focused & led
• Make things easier – be the choice!
• Engage all stakeholders, including industry
EOSC EB Working Group on FAIR
5 initial Working Groups
• Landscape
• Rules of Participation
• Architecture
• FAIR
• Sustainability
FAIR WG activities:
• FAIR practice & stewardship
• Interoperability framework
• Services requirements for FAIR
• Persistent identifier policy
• FAIR metrics & assessment
• Certification of services
EOSC governance structure
Workshop @ EOSC Hub in Prague
Agenda
• Intro
• What’s happening in EOSC
• Implementation stories
• Unconference
• Evaluation
https://www.eosc-hub.eu/
events/eosc-hub-week-2019/
programme/services-support-
fair-data
Enabling FAIR – wish list from implementers
• Need provenance – unbroken chain of trust
• Need to pay attention to the environment in which
data are held – trustworthiness of stewardship
• Need to assign PIDs to all resource resources
• Make metadata richer – link PIDs
“Research data will not become nor stay FAIR by magic.
We need skilled people, transparent processes,
interoperable technologies and collaboration to build,
operate and maintain research data infrastructures.”
Mari Kleemola
Thoughts from discussion
DEFINITIONS DISCIPLINARY CULTURE METRICS
Audience feedback: Prague
Get more
researchers
involved
Clearer assignment
for breakout groups
Play the game
with researchers
in mind!
Better define
FAIR
More time for group
reflections. 30 minutes
is too short
Document and open up
the reports for input
More time for
unconference and
let attendees
propose questions
as well
Focus on solutions for
researchers and research
groups, provide them
easy entry points into
basic FAIR for all.
Ensure the
different parts
form a
coherent story
Agenda for today
Time Focus Who
13:00 Introduction Sarah
13:20 Data services case studies
• Zenodo
• FREYA
• Wikidata
• CoreTrustSeal
Lars
Simon
Andra
Natalie
14:40 Coffee
15:00 Brainstorming discussion All
16:00 Panel discussion
• Tony Ross-Hellauer
• Barbara Sanchez
• Peter Kraker
• Stefan Kasberger
All
16:45 Mentimeter evaluation Sarah
17:00 Close
Questions for service case studies
• Where is your service located in the Research Data Lifecycle
/ what activities does it help with? Focus on one aspect
• What aspects of FAIR does your service support and how?
What are the strengths and gaps in FAIR provision?
• How do you interoperate/collaborate/engage with other
services to help support FAIR data?
• What is the one key change you think needs to happen for
us to implement FAIR data and services that support FAIR?
Moderators for discussion & panel
Stefan Kasberger
AUSSDA
Austrian Social
Science Data Archive
Peter Kraker
Open Knowledge Maps
Barbara Sanchez
TUWien Data
Management
Centre
Tony Ross-Hellauer
Know Centre
Form four groups around them : )
Brainstorming discussion
1. What does it mean for researchers to make data FAIR?
2. How does / could your institution or service help
researchers make their data FAIR?
3. What could / should you do that you aren’t already doing?
What is the priority?
4. Where are the biggest gaps in provision? Missing services
and weaker aspect of FAIR e.g. interoperability
5. How does / could your institution or service reach
researchers and explain the importance of FAIR?
Focus for reporting back – service gaps and priorities
Panel discussion
1. What were the main conclusions from your discussion?
(specifically about service gaps / priorities)
2. What are the priorities for your organisation?
3. What would you highlight in the White Paper to the EOSC FAIR
WG? What are the key challenges or priorities for supporting
FAIR that need to be addressed?
4. What services do you support at your organisation and what
would you like to see from EOSC? Who is responsible for what?
Other things we need to discuss?
INTERNATIONAL
DIGITAL
CURATION
CONFERENCE
Collective Curation:
the many hands that
make data work
#idcc20
www.dcc.ac.uk/events/idcc20
Organised by
www.dcc.ac.uk www.dri.ie
2020
17 – 20 February 2020
Dublin, Ireland
Mentimeter – what did you think?

Más contenido relacionado

La actualidad más candente

Pure what is equipment.data
Pure what is equipment.dataPure what is equipment.data
Pure what is equipment.data
DataAcUk
 
5th International Conference : About ICARB
5th International Conference : About ICARB5th International Conference : About ICARB
5th International Conference : About ICARB
icarb
 

La actualidad más candente (20)

Pure what is equipment.data
Pure what is equipment.dataPure what is equipment.data
Pure what is equipment.data
 
Turning FAIR into Reality - Role for Libraries
Turning FAIR into Reality - Role for Libraries Turning FAIR into Reality - Role for Libraries
Turning FAIR into Reality - Role for Libraries
 
RDA17 FAIRsharing WG sessions: on repositories and policies
RDA17 FAIRsharing WG sessions: on repositories and policiesRDA17 FAIRsharing WG sessions: on repositories and policies
RDA17 FAIRsharing WG sessions: on repositories and policies
 
Ready, Set, GO FAIR
Ready, Set, GO FAIRReady, Set, GO FAIR
Ready, Set, GO FAIR
 
EOSC working group on FAIR
EOSC working group on FAIREOSC working group on FAIR
EOSC working group on FAIR
 
FAIR Working Group
FAIR Working GroupFAIR Working Group
FAIR Working Group
 
EOSC FAIR Data Session - EOSC Stakeholders Forum 2018
EOSC FAIR Data Session - EOSC Stakeholders Forum 2018EOSC FAIR Data Session - EOSC Stakeholders Forum 2018
EOSC FAIR Data Session - EOSC Stakeholders Forum 2018
 
Ingrid Dillo - Trustworthy repositories for open research data
Ingrid Dillo - Trustworthy repositories for open research dataIngrid Dillo - Trustworthy repositories for open research data
Ingrid Dillo - Trustworthy repositories for open research data
 
What it means to be FAIR
What it means to be FAIRWhat it means to be FAIR
What it means to be FAIR
 
Turning FAIR into Reality: Final outcomes from the European Commission FAIR D...
Turning FAIR into Reality: Final outcomes from the European Commission FAIR D...Turning FAIR into Reality: Final outcomes from the European Commission FAIR D...
Turning FAIR into Reality: Final outcomes from the European Commission FAIR D...
 
Kate Kelly - Open Research Ireland
Kate Kelly - Open Research IrelandKate Kelly - Open Research Ireland
Kate Kelly - Open Research Ireland
 
A National Approach to Open Data in Ireland: Publishers and Research Data Man...
A National Approach to Open Data in Ireland: Publishers and Research Data Man...A National Approach to Open Data in Ireland: Publishers and Research Data Man...
A National Approach to Open Data in Ireland: Publishers and Research Data Man...
 
The future of FAIR
The future of FAIRThe future of FAIR
The future of FAIR
 
RDM skills
RDM skillsRDM skills
RDM skills
 
FAIR data
FAIR dataFAIR data
FAIR data
 
Towards an integrated research management digital ecosystem
Towards an integrated research management digital ecosystemTowards an integrated research management digital ecosystem
Towards an integrated research management digital ecosystem
 
5th International Conference : About ICARB
5th International Conference : About ICARB5th International Conference : About ICARB
5th International Conference : About ICARB
 
FAIRsharing: how we assist with FAIRness
FAIRsharing: how we assist with FAIRnessFAIRsharing: how we assist with FAIRness
FAIRsharing: how we assist with FAIRness
 
Birgit Schmidt: RDA for Libraries from an International Perspective
Birgit Schmidt: RDA for Libraries from an International PerspectiveBirgit Schmidt: RDA for Libraries from an International Perspective
Birgit Schmidt: RDA for Libraries from an International Perspective
 
The FAIR Cookbook poster
The FAIR Cookbook posterThe FAIR Cookbook poster
The FAIR Cookbook poster
 

Similar a FAIR workshop Vienna

OpenAIRE implementing open science
OpenAIRE implementing open scienceOpenAIRE implementing open science
OpenAIRE implementing open science
Jisc
 

Similar a FAIR workshop Vienna (20)

The European Open Science Cloud: just what is it?
The European Open Science Cloud: just what is it?The European Open Science Cloud: just what is it?
The European Open Science Cloud: just what is it?
 
The European Open Science Cloud: just what is it?
The European Open Science Cloud: just what is it?The European Open Science Cloud: just what is it?
The European Open Science Cloud: just what is it?
 
Services to support FAIR data - Introduction
Services to support FAIR data - IntroductionServices to support FAIR data - Introduction
Services to support FAIR data - Introduction
 
12.10.14 Slides, “Roadmap to the Future of SHARE”
12.10.14 Slides, “Roadmap to the Future of SHARE”12.10.14 Slides, “Roadmap to the Future of SHARE”
12.10.14 Slides, “Roadmap to the Future of SHARE”
 
IDCC workshop: OpenAIRE services and tools for Open Research Data in H2020
IDCC workshop: OpenAIRE services and tools for Open Research Data in H2020IDCC workshop: OpenAIRE services and tools for Open Research Data in H2020
IDCC workshop: OpenAIRE services and tools for Open Research Data in H2020
 
A coordinated framework for open data open science in Botswana/Simon Hodson
A coordinated framework for open data open science in Botswana/Simon HodsonA coordinated framework for open data open science in Botswana/Simon Hodson
A coordinated framework for open data open science in Botswana/Simon Hodson
 
Open Data Strategies and Research Data Realities
Open Data Strategies and Research Data RealitiesOpen Data Strategies and Research Data Realities
Open Data Strategies and Research Data Realities
 
Understanding Open Science: Definitions and framework
Understanding Open Science: Definitions and framework Understanding Open Science: Definitions and framework
Understanding Open Science: Definitions and framework
 
OpenAIRE implementing open science
OpenAIRE implementing open scienceOpenAIRE implementing open science
OpenAIRE implementing open science
 
NordForsk Open Access Reykjavik 14-15/8-2014: H2020
NordForsk Open Access Reykjavik 14-15/8-2014: H2020NordForsk Open Access Reykjavik 14-15/8-2014: H2020
NordForsk Open Access Reykjavik 14-15/8-2014: H2020
 
Open Data: Strategies for Research Data Management (and Planning)
Open Data: Strategies for Research Data  Management (and Planning)Open Data: Strategies for Research Data  Management (and Planning)
Open Data: Strategies for Research Data Management (and Planning)
 
ARDC 2018 state engagements - Nov-Dec 2018 - Slides - Ian Duncan
ARDC 2018 state engagements - Nov-Dec 2018 - Slides - Ian DuncanARDC 2018 state engagements - Nov-Dec 2018 - Slides - Ian Duncan
ARDC 2018 state engagements - Nov-Dec 2018 - Slides - Ian Duncan
 
Horizon 2020 open access and open data mandates
Horizon 2020 open access and open data mandatesHorizon 2020 open access and open data mandates
Horizon 2020 open access and open data mandates
 
The state of global research data initiatives: observations from a life on th...
The state of global research data initiatives: observations from a life on th...The state of global research data initiatives: observations from a life on th...
The state of global research data initiatives: observations from a life on th...
 
Turning FAIR into Reality: Briefing on the EC’s report on FAIR data
Turning FAIR into Reality: Briefing on the EC’s report on FAIR dataTurning FAIR into Reality: Briefing on the EC’s report on FAIR data
Turning FAIR into Reality: Briefing on the EC’s report on FAIR data
 
The FAIR Principles and the IMI FAIRplus project
The FAIR Principles and the IMI FAIRplus projectThe FAIR Principles and the IMI FAIRplus project
The FAIR Principles and the IMI FAIRplus project
 
From Logic Model to Data Model
From Logic Model to Data ModelFrom Logic Model to Data Model
From Logic Model to Data Model
 
FAIR play?
FAIR play? FAIR play?
FAIR play?
 
Libraries, RDM and e-infrastructure requirements
Libraries, RDM and e-infrastructure requirementsLibraries, RDM and e-infrastructure requirements
Libraries, RDM and e-infrastructure requirements
 
Global Research Data Initiatives
Global Research Data InitiativesGlobal Research Data Initiatives
Global Research Data Initiatives
 

Más de Sarah Jones

Más de Sarah Jones (20)

Data training tips and tricks
Data training tips and tricksData training tips and tricks
Data training tips and tricks
 
EOSC and libraries
EOSC and librariesEOSC and libraries
EOSC and libraries
 
EOSC Association priorities and activities
EOSC Association priorities and activitiesEOSC Association priorities and activities
EOSC Association priorities and activities
 
Managing and sharing data: lessons from the European context
Managing and sharing data: lessons from the European contextManaging and sharing data: lessons from the European context
Managing and sharing data: lessons from the European context
 
Reflections on Open Science
Reflections on Open ScienceReflections on Open Science
Reflections on Open Science
 
MAR comments analysis
MAR comments analysisMAR comments analysis
MAR comments analysis
 
Introduction to Open Science and EOSC
Introduction to Open Science and EOSCIntroduction to Open Science and EOSC
Introduction to Open Science and EOSC
 
EOSC-MAR-update.pptx
EOSC-MAR-update.pptxEOSC-MAR-update.pptx
EOSC-MAR-update.pptx
 
Intro-EOSC.pptx
Intro-EOSC.pptxIntro-EOSC.pptx
Intro-EOSC.pptx
 
Data Management Planning for researchers
Data Management Planning for researchersData Management Planning for researchers
Data Management Planning for researchers
 
Is Europe ready for Open Science
Is Europe ready for Open ScienceIs Europe ready for Open Science
Is Europe ready for Open Science
 
DMPonline: 10 years, 10 lessons
DMPonline: 10 years, 10 lessonsDMPonline: 10 years, 10 lessons
DMPonline: 10 years, 10 lessons
 
Do & don't of supporting Open Science
Do & don't of supporting Open ScienceDo & don't of supporting Open Science
Do & don't of supporting Open Science
 
Why institutions need to raise their capabilities to support FAIR
Why institutions need to raise their capabilities to support FAIRWhy institutions need to raise their capabilities to support FAIR
Why institutions need to raise their capabilities to support FAIR
 
DMPTuuli - what's new?
DMPTuuli - what's new?DMPTuuli - what's new?
DMPTuuli - what's new?
 
DCC and FAIR initiatives
DCC and FAIR initiativesDCC and FAIR initiatives
DCC and FAIR initiatives
 
Intro to RDM
Intro to RDMIntro to RDM
Intro to RDM
 
Reflections on EOSC through the mirror of ARDC
Reflections on EOSC through the mirror of ARDCReflections on EOSC through the mirror of ARDC
Reflections on EOSC through the mirror of ARDC
 
Future EOSC roadmap
Future EOSC roadmapFuture EOSC roadmap
Future EOSC roadmap
 
Global Open Research Commons IG
Global Open Research Commons IGGlobal Open Research Commons IG
Global Open Research Commons IG
 

Último

Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
WSO2
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 

Último (20)

GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
 
A Beginners Guide to Building a RAG App Using Open Source Milvus
A Beginners Guide to Building a RAG App Using Open Source MilvusA Beginners Guide to Building a RAG App Using Open Source Milvus
A Beginners Guide to Building a RAG App Using Open Source Milvus
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu SubbuApidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 

FAIR workshop Vienna

  • 1. Services to support FAIR data Sarah Jones Digital Curation Centre, Glasgow sarah.jones@glasgow.ac.uk Twitter: @sjDCC 24 April 2019, University of Vienna
  • 2. A series of three workshops 1. Prague, April 12 2019 | EOSC-hub week • Target audience: Service providers and research infrastructures 2. Vienna, April 24 2019 | Linking Open Science • Target audience: Research support staff & researchers 3. Porto, September 17 2019 | Open Science FAIR • Target audience: Service users and service providers https://www.openaire.eu/workshops-series-services-to-support-fair-data- from-theory-to-implementation
  • 3. Workshop objectives • Share perspectives on how to support researchers with FAIR • Explore existing services and extensions needed to support FAIR research outputs • Explore how existing services and infrastructures can work together • Identify priorities & recommendations for supporting FAIR data
  • 4. Report planned White paper to the EOSC EB working group on FAIR noting challenges, recommendations & priorities for services Mustapha Mokrane FAIRsFAIR Daniel Bangert RDA Europe Emilie Hermans OpenAIRE Rene van Horik EOSChub
  • 5. European Open Science Cloud (EOSC) “offer 1.7 million European researchers and 70 million professionals in science and technology a virtual environment with free at the point of use, open and seamless services for storage, management, analysis and re-use of research data, across borders and scientific disciplines” • Add value • Federate, don’t reinvent • Be research / user-focused & led • Make things easier – be the choice! • Engage all stakeholders, including industry
  • 6. EOSC EB Working Group on FAIR 5 initial Working Groups • Landscape • Rules of Participation • Architecture • FAIR • Sustainability FAIR WG activities: • FAIR practice & stewardship • Interoperability framework • Services requirements for FAIR • Persistent identifier policy • FAIR metrics & assessment • Certification of services EOSC governance structure
  • 7. Workshop @ EOSC Hub in Prague Agenda • Intro • What’s happening in EOSC • Implementation stories • Unconference • Evaluation https://www.eosc-hub.eu/ events/eosc-hub-week-2019/ programme/services-support- fair-data
  • 8. Enabling FAIR – wish list from implementers • Need provenance – unbroken chain of trust • Need to pay attention to the environment in which data are held – trustworthiness of stewardship • Need to assign PIDs to all resource resources • Make metadata richer – link PIDs “Research data will not become nor stay FAIR by magic. We need skilled people, transparent processes, interoperable technologies and collaboration to build, operate and maintain research data infrastructures.” Mari Kleemola
  • 9. Thoughts from discussion DEFINITIONS DISCIPLINARY CULTURE METRICS
  • 10. Audience feedback: Prague Get more researchers involved Clearer assignment for breakout groups Play the game with researchers in mind! Better define FAIR More time for group reflections. 30 minutes is too short Document and open up the reports for input More time for unconference and let attendees propose questions as well Focus on solutions for researchers and research groups, provide them easy entry points into basic FAIR for all. Ensure the different parts form a coherent story
  • 11. Agenda for today Time Focus Who 13:00 Introduction Sarah 13:20 Data services case studies • Zenodo • FREYA • Wikidata • CoreTrustSeal Lars Simon Andra Natalie 14:40 Coffee 15:00 Brainstorming discussion All 16:00 Panel discussion • Tony Ross-Hellauer • Barbara Sanchez • Peter Kraker • Stefan Kasberger All 16:45 Mentimeter evaluation Sarah 17:00 Close
  • 12. Questions for service case studies • Where is your service located in the Research Data Lifecycle / what activities does it help with? Focus on one aspect • What aspects of FAIR does your service support and how? What are the strengths and gaps in FAIR provision? • How do you interoperate/collaborate/engage with other services to help support FAIR data? • What is the one key change you think needs to happen for us to implement FAIR data and services that support FAIR?
  • 13. Moderators for discussion & panel Stefan Kasberger AUSSDA Austrian Social Science Data Archive Peter Kraker Open Knowledge Maps Barbara Sanchez TUWien Data Management Centre Tony Ross-Hellauer Know Centre Form four groups around them : )
  • 14. Brainstorming discussion 1. What does it mean for researchers to make data FAIR? 2. How does / could your institution or service help researchers make their data FAIR? 3. What could / should you do that you aren’t already doing? What is the priority? 4. Where are the biggest gaps in provision? Missing services and weaker aspect of FAIR e.g. interoperability 5. How does / could your institution or service reach researchers and explain the importance of FAIR? Focus for reporting back – service gaps and priorities
  • 15. Panel discussion 1. What were the main conclusions from your discussion? (specifically about service gaps / priorities) 2. What are the priorities for your organisation? 3. What would you highlight in the White Paper to the EOSC FAIR WG? What are the key challenges or priorities for supporting FAIR that need to be addressed? 4. What services do you support at your organisation and what would you like to see from EOSC? Who is responsible for what?
  • 16. Other things we need to discuss?
  • 17.
  • 18. INTERNATIONAL DIGITAL CURATION CONFERENCE Collective Curation: the many hands that make data work #idcc20 www.dcc.ac.uk/events/idcc20 Organised by www.dcc.ac.uk www.dri.ie 2020 17 – 20 February 2020 Dublin, Ireland
  • 19. Mentimeter – what did you think?