fair basics fair is where to find them and examples of use
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FAIR Basics FAIR is Where to find them and examples of use The - PowerPoint PPT Presentation

FAIR Basics FAIR is Where to find them and examples of use The FAIR Data Principles (https://www.force11.org/group/fairgroup/fairprinciples) Seminal paper on them (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4792175) A step by step how-to


  1. FAIR Basics

  2. FAIR is…

  3. Where to find them and examples of use The FAIR Data Principles (https://www.force11.org/group/fairgroup/fairprinciples) Seminal paper on them (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4792175) A step by step how-to on using FAIR, in this case how PHI-base used the principles to publish FAIR data: (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4922217/)

  4. Things FAIR cares about

  5. Things FAIR does not care about

  6. Not all data is meant to be public

  7. DOI 10.1038/sdata.2016.18 Wilkinson, M., Dumontier, M., Aalbersberg, I. et al. The FAIR Guiding Principles for scientific data management and stewardship. Sci Data 3, 160018 (2016).

  8. FAIR Principles references “community standards” Community is not a box More like a super social amoeba Hey, how’s your Who’s the microbiome? Engineering paramecium? Hi Hi Who wants Bioinformatics to hit the Genomics petri pub? Whose data dump Hi brought down the entire university power grid? Research Physics Computing

  9. For Example, Bioinformatics work with: ● ● ● ● ● ● ●

  10. Which do you choose? CHOOSE ME CHOOSE ME whatever CHOOSE ME

  11. Winner! most frustrating answer

  12. Convergence

  13. Meanwhile… .

  14. Sources of Truth - Findability ● ○ ● ○

  15. Sources of Truth - Accessibility ● ○ ● ○ ● ○

  16. Sources of Truth - Interoperability ● ○ ● ○ ● ○

  17. Sources of Truth - Reusability ● ○ ● ○ ● ○

  18. But can you actually use it for anything?

  19. What do you use it for? ● ● ● ● ● ●

  20. Funder requirements you may see: ● ○ ■ ○ ■ ■ ○ ○

  21. GO-FAIR Fair Funder Cycle https://www.go-fair.org/today/FAIR-funder/

  22. Open Research Funders Group http://www.orfg.org/

  23. NIH https://datascience.nih.gov/data-ecosystem

  24. FAIR in industry

  25. Goals ● ● ● ● ●

  26. Researchers ● ● ● ● ○ ○

  27. Librarians ● ● ● ALL OF THIS WILL CHANGE

  28. 10 FAIR Data & Software Things

  29. 10 FAIR Data & Software Things

  30. Advice ● ● ○ ○ ● ●

  31. Challenges

  32. Challenges Communication Protocols Ontologies Disciplinary metadata Metadata structure Provenance metadata Relationships between files Number of files

  33. How to support FAIR?

  34. Recommendations Koers, H., Bangert, D., Hermans, E., van Horik, R., de Jong, M., & Mokrane, M. (2020)

  35. Resources

  36. Next webinar ● ● ● ● ●

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