How are we Faring with FAIR? (and what FAIR is not) Version 1
External LinkKeynote presented at the workshop FAIRe Data Infrastructures, 15 October 2020 https://www.gmds.de/aktivitaeten/medizinische-informatik/projektgruppenseiten/faire-dateninfrastrukturen-fuer-die-biomedizinische-informatik/workshop-2020/
Remarkably it was only in 2016 that the ‘FAIR Guiding Principles for scientific data management and stewardship’ appeared in Scientific Data. The paper was intended to launch a dialogue within the research and policy communities: to start a journey to wider accessibility and reusability of data and prepare for automation-readiness by supporting findability, accessibility, interoperability and reusability for machines. Many of the authors (including myself) came from biomedical and associated communities. The paper succeeded in its aim, at least at the policy, enterprise and professional data infrastructure level. Whether FAIR has impacted the researcher at the bench or bedside is open to doubt. It certainly inspired a great deal of activity, many projects, a lot of positioning of interests and raised awareness. COVID has injected impetus and urgency to the FAIR cause (good) and also highlighted its politicisation (not so good). In this talk I’ll make some personal reflections on how we are faring with FAIR: as one of the original principles authors; as a participant in many current FAIR initiatives (particularly in the biomedical sector and for research objects other than data) and as a veteran of FAIR before we had the principles.
Export PNG
Download
Creators and Submitter
Views: 813
Created: 19th Oct 2021 at 14:48
Last updated: 19th Oct 2021 at 14:48
AttributionsNone
Version History
Version 1 (earliest) Created 19th Oct 2021 at 14:48 by Carole Goble
No revision comments
Related items
https://orcid.org/0000-0003-1219-2137Professor of Computer Science University of Manchester Co-Director of the FAIRDOM Initiative and co-leader of the SEEK4Science Platform Development Deputy Head of Node ELIXIR-UK Co-lead ELIXIR Interoperability Backbone Platform Lead ISBE WP Data and Model Management Data lead SynBioChem Manchester Synthetic Biology Research Centre for Fine and Speciality Chemicals
FAIRDOM is establishing a support and service network for European Systems Biology. FAIRDOM is a joint action of ERA-Net ERASysAPP and European Research Infrastructure ISBE to establish a data and model management service facility for Systems Biology. Our prime mission is to support researchers, students, trainers, funders and publishers by enabling Systems Biology projects to make their Data, Operating procedures and Models, Findable, Accessible, Interoperable and Reusable (FAIR).
Projects: FAIRDOM, FAIRDOM user meeting, FAIRDOM Community Workers
Web page: http://fair-dom.org
FAIRDOM will establish a support and service network for European Systems Biology. We will serve projects in standardising, managing and disseminating data and models in a FAIR manner: Findable, Accessible, Interoperable and Reusable.
