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FAIR workshop Vienna

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Introduction to the second workshop in the OpenAIRE, RDA Europe, EOSCHub and FAIRsFAIR series of workshops

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FAIR workshop Vienna

  1. 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. 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. 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. 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. 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. 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. 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. 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. 9. Thoughts from discussion DEFINITIONS DISCIPLINARY CULTURE METRICS
  10. 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. 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. 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. 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. 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. 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. 16. Other things we need to discuss?
  17. 17. 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
  18. 18. Mentimeter – what did you think?

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