1 / 11

Enabling FAIR – landscape and next steps

This article delves into the FAIR guiding principles for scientific data management, exploring alignment, operationalization, and collaboration within the research community. It also discusses the resources needed and provides decision trees for domain metadata, standards, and repository recommendations.

jfreddie
Download Presentation

Enabling FAIR – landscape and next steps

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Enabling FAIR – landscape and next steps Fiona Murphy, Murphy Mitchell Consulting Ltd : 0000-0003-1693-1240 ILIDE, Jasná, 9 April 2019 DOI: 10.5281/zenodo.2633607

  2. Article in Nature journal Scientific Data: Wilkinson, M. D. et al. The FAIR Guiding Principles for scientific data management and stewardship. Sci. Data 3:160018 doi: 10.1038/sdata.2016.18 (2016).

  3. European commission PUBLISHERS

  4. Aligning and Operationalising • In what direction(s) does the aligning take place – and at what pace? • To what [outputs, actions, processes] does FAIR apply? • How to manage internally within one’s own institution/domain? • How to work with others, e.g. Research Data Alliance, GOFAIR? • What resources are required?

  5. European commission PUBLISHERS

  6. FSCI2019: FORCE11 Scholarly Communications Institute Registration, sponsorship, travel scholarships open for August 2019!

  7. Decision Trees

  8. Domain metadata • Standards • Repository recommendations • Community protocols • Persistent identifiers Reach back into the workflow

  9. References Belmont Forum Data Publishing Policy Project: https://doi.org/10.5281/zenodo.1476871 FAIRsharing as a community approach to standards, repositories and policies: https://doi.org/10.1038/s41587-019-0080-8 DANS FAIR Data Assessment Tool (prototype): https://www.surveymonkey.com/r/fairdat Enabling FAIR Data Commitment Statement, Roadmap and FAQS: http://www.copdess.org/enabling-fair-data-project/ (see also ‘Enabling FAIR Data’ Zenodo community) RDA FAIR Data Maturity Model Working Group: https://www.rd-alliance.org/groups/fair-data-maturity-model-wg

  10. Thank you! @DrFionalm fiona@murphymitchellconsulting.com 0000-0003-1693-1240 DOI: 10.5281/zenodo.2633607

More Related