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Ready, Set, GO FAIR

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Ready, Set, GO FAIR by Barend Mons - Go FAIR, delivered during the FAIR Data Session at the EOSC Stakeholders Forum 2018

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Ready, Set, GO FAIR

  1. 1. READY, SET….GO FAIR BAREND MONS DIRECTOR OF THE INTERNATIONAL SUPPORT AND COORDINATION OFFICE PRESIDENT OF CODATA
  2. 2. http://ec.europa.eu/research/openscience/index.cfm?pg=open-science-cloud
  3. 3. G1: Aim at the lightest possible, internationally effective governance. G2: Guidance only where guidance is due. G3: Define Rules of Engagement for formal participation in the EOSC. G4: Federate the Gems across Member States. Governance recommendations of the HLEG EOSC (IFDS) GO FAIR will obviously also honour the P and I recommendations of the HLEG
  4. 4. From data sharing to data visiting The internet for Social machines is a new infrastructure for open science
  5. 5. GO FAIR in a nutshell EOSC Summit 2018 – Brussels, 11 June 2018 Implement FAIR principles co-create the IFDS Towards EOSC as the Internet of FAIR data and services Prof. Barend Mons GO FAIR ISCO Leiden, Hamburg, Paris GO FAIR supports bottom up, achievable community practices for establishing the EOSC as part of the Global Internet of FAIR Data and Services (IFDS) Co-founded & financed by 3 Member States (NL, DE, FR) but open to all, GO FAIR aims to kick-start the development of the EOSC through communities of excellence ‘Implementation Networks’ committed to collectively engage in the IFDS Supported by three pillars - GO CHANGE (culture), GO TRAIN (data stewards) & GO BUILD (technologies or components). Any country can join, coordinating national participation in networks and contribute GO FAIR expertise
  6. 6. NOT BUT EOSC Asia, Australia, Africa North America, South AmericaEUROPE + AC EOSC IFDSIFDS IFDS
  7. 7. WHAT What is FAIR ? The FAIR Guiding Principles for scientific data management and stewardship, Scientific Data (2016), https://www.nature.com/articles/sdata201618 “Data and services that are Findable, Accessible, Interoperable, Re-usable both for machines and for people.”
  8. 8. FAIR guiding principles (2015) FAIR metrics (2017) alternative interpretations ‘myFAIR’ ABC standard Humans FAIR avant la lettre or compliant ? AGU HEP ASTR EOSC-life
  9. 9. Common Patterns in Revolutionary Infrastructures and Data Peter Wittenburg, Max Planck Computing and Data Facility, George Strawn, US National Academy of Sciences, February 2018 https://www.rd-alliance.org/sites/default/files/Common_Patterns_in_Revolutionising_Infrastructures-final.pdf How is the Internet for Social Machines likely to develop?
  10. 10. •Minimal standards •Voluntary participation •Critical mass
  11. 11. Lessons from the Internet for People: 1. Minimal standards only 2. Rough consensus/Running code 3. Don’t tell anyone else what to do 4. Critical mass of lead-players Now, for the Internet for Machines
  12. 12. • Minimal standards • Voluntary participation • Critical mass • Rough consensus and running code 2005 2015 EOSC FAIR 2020 EOSC, Commons, AOSP/C etc. 2018 10/26 ?
  13. 13. • Minimal standards • Voluntary participation • Critical mass • Rough consensus and running code IDW 2018 2005 2015 EOSC FAIR 2020 industry 2018 2019 IFSM DSW
  14. 14. old (largely failed) situation proprietary app Proprietary data warehouse - Streaming ETL - Central updating - GDPR issues - Enormous costs - Black Box New (IFDS) situation proprietary app Distributed FAIR data stations - No cumbersome ETL - Decentral updating + provenance - No GDPR issues - distributed costs - Transparent
  15. 15. ? FORMS SCRIPTS SPARQL ENTER PHT any place FAIR FAIR FAIR FAIR Citizens Medical Doctors Researchers policy makers Questions/hypotheses generated by Machines Questions/hypotheses generated by people report with full provenance and references
  16. 16. consensus building & Design practical testing & implementation best practices certification schemas dovetailing WG outcomes learning by doing 7000 + partners 500 + implementation partners e-infra &domain partners Science Europe Proposed Best Practices (standards protocols etc.) Proposed Best Practices (standards protocols etc.) 25 CODATA
  17. 17. consensus building & Design practical testing & implementation best practices certification schemas dovetailing WG outcomes learning by doing CODATA2.0 7000 + partners 500 + implementation partners Proposed Best Practices (standards protocols etc.) Proposed Best Practices (standards protocols etc.) WDS CTS formalise formalise core resources schemaholding?
  18. 18. 20 IN’s and growing 18 EU MS + EC USA, Australia, China, Brazil, etc. But country or regional support is NOT te goal, its all about Implementation Networks 15-16 January 2019 first GO FAIR conference, brings all IN’s together (stocktaking, workshops)
  19. 19. ISCO

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