READY, SET.GO FAIR BAREND MONS DIRECTOR OF THE INTERNATIONAL SUPPORT AND COORDINATION OFFICE PRESIDENT OF CODATA

READY, SET.GO FAIR BAREND MONS DIRECTOR OF THE INTERNATIONAL SUPPORT AND COORDINATION OFFICE PRESIDENT OF CODATA

http://ec.europa.eu/research/openscience/index.cfm?pg=open-science-cloud

Governance recommendations of the HLEG EOSC (IFDS) 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. GO FAIR will obviously also honour the P and I recommendations of the HLEG

From data sharing to data visiting The internet for Social machines is a new infrastructure for open science

EOSC Summit 2018 Brussels, 11 June 2018 GO FAIR in a nutshell 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 Implement FAIR principles co-create the IFDS

NOT BUT EOSC IFDS EOSC IFDS IFDS Asia, Australia, Africa EUROPE + AC North America, South America

WHAT What is FAIR? Data and services that are Findable, Accessible, Interoperable, Re-usable both for machines and for people. The FAIR Guiding Principles for scientific data management and stewardship, Scientific Data (2016), https://www.nature.com/articles/sdata201618

FAIR guiding principles (2015) FAIR avant la lettre or compliant alternative interpretations myfair ABC standard Humans HEP AGU FAIR metrics (2017) ASTR EOSC-life?

How is the Internet for Social Machines likely to develop? 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

Minimal standards Voluntary participation Critical mass

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

? EOSC, Commons, AOSP/C etc. 2005 2015 EOSC FAIR 2018 10/26 2020 Minimal standards Voluntary participation Critical mass Rough consensus and running code

Minimal standards Voluntary participation Critical mass Rough consensus and running code IFSM industry 2005 2015 EOSC FAIR 2018 IDW 2018 DSW 2019 2020

old (largely failed) situation New (IFDS) situation proprietary app proprietary app Proprietary data warehouse - Streaming ETL - Central updating - GDPR issues - Enormous costs - Black Box Distributed FAIR data stations - No cumbersome ETL - Decentral updating + provenance - No GDPR issues - distributed costs - Transparent

Questions/hypotheses generated by people Citizens Medical Doctors Researchers policy makers FORMS FAIR? SPARQL ENTER PHT any place SCRIPTS FAIR FAIR FAIR Questions/hypotheses generated by Machines report with full provenance and references

25 WG outcomes Proposed Best Practices (standards protocols etc.) CODATA best practices certification schemas e-infra &domain partners Science Europe Proposed Best Practices (standards protocols etc.) learning by doing consensus building & Design dovetailing practical testing & implementation 7000 + partners 500 + implementation partners

CODATA2.0 schemaholding? Proposed Best Practices (standards protocols etc.) best practices Proposed Best Practices (standards protocols etc.) WDS CTS formalise WG outcomes certification schemas learning by doing formalise core resources consensus building & Design dovetailing practical testing & implementation 7000 + partners 500 + implementation partners

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)

ISCO