FAIR in the Netherlands

Wilco Hazeleger

Paris, 20/04/2018

Fair in the Netherlands

FAIR in research policy

National e-Infrastructure

And regional/local data and compute infrastructures at universities and institutes

Fair in Research Policy

• NWO has taken up FAIR in all research proposal templates

• FAIR features clearly in the new strategy of NWO

• Open data is one of the key themes in the National Plan Open Science, a policy platform of the

universities, academy of sciences, research council, SURF etc

www.openscience.nl/en

• FAIR is, next to FACT (Fairness, Accurate, Confidential, Transparant, ie legal, normative,

ethical), a major theme in national research agenda on Big Data (large collaborative projects)

• FAIR in the public sector at large being discussed

• SURF, DANS, eScience in various H2020 projects

Challenges in implementing FAIR

• Test prototype FAIRdat within DANS, within 4 other repositories, and at Open Science FAIR in Athens

• https://www.surveymonkey.com/r/fairdat

• Participate in FAIR metrics group: see http://fairmetrics.org/

• 14 metrics on GitHub: https://github.com/FAIRMetrics/Metrics

• Preprint of paper ‘A design framework and exemplar metrics for FAIRness’: https://www.biorxiv.org/content/early/2017/12/01/225490

• Evaluate DANS archive against FAIR metrics

FAIR in domains

Engaging the scientists and scholars

See www.esciencecenter.nl

FAIR in domains: ePLAN

FAIR in domains: eScience Projects (Life Sciences)

Transform

Phenotype,

e.g. disease

resistance GenomeTranscriptome

ProteomeMetabolome

….

Technology- store and connect data

Science- translate data into insights and treatments

FAIR in domains: eScience projects (Astronomy)

Real time detection and follow up:

• Building a detection pipeline for Westerbork running on a

dedicated 500 TFLOPS hybrid FPGA-GPU cluster to find

these burst in real time.

• Allows for immediate multi-frequency follow-up.

FAIR in domains: EOSC pilot & hub

Dutch partners in EOSChub and EOSCpilot (SURF, DANS)

EOSC pilot project and demonstrators at eScience Center:

Water resources data

LOFAR radio astronomy data

FAIR for software

FAIR for Software

FAIR for software: www.research-software.nl

FAIR and FACT

FAIR and FACT

Responsible data science: FACT and FAIR

Fairness, Accurate, Confidential, Transparent (legal, ethical,… ,…)

• Privacy by design

• FAIR and FACT data services

• Biases in data

• Explainable AI

• ….

Applied to Media, Security, and Health domains