FAIR Data In The Life Sciences: Beyond Theory: RDMkit: The Research Data Management Toolkit For Life Sciences - presented by Dr. Munazah Andrabi PhD | FAIR Cookbook And FAIRsharing: Guidance And Discovery For Enabling FAIR Data - presented by Dr. Allyson Lister PhD | ELIXIR-UK DaSH: A Fellowship To Build The Grassroots Of A Data Management Community Across The UK - presented by Xenia Perez Sitja | Ed-DaSH: Data Science Training Programme For Health And Biosciences - presented by Dr. Tomasz Zielinski | Cloud Span: A Use Case Of FAIR Implementation On HPC Training Materials - presented by Evelyn Greeves

FAIR Data In The Life Sciences: Beyond Theory

Dr. Allyson Lister PhDEvelyn GreevesDr. Munazah Andrabi PhDTZXenia Perez Sitja
Slide at 06:06
Munazah Andrabi Ultimate Aim: FAIR Data Management Findable Persistent ID Metadata online INTER- FINDABLE ACCESSIBLE OPERABLE REUSABLE Accessible Data online Restrictions if needed Source: https://www.go-fair.org/fair-principles/ FAIR principles: A useful framework for Interoperable managing data enabling maximum use and Use standards, controlled vocabulary Use Common and standardised formats reuse Increasing adoption by Reusable Rich documentation funders Clear licensing Wilkinson, M., Dumontier, M., Aalbersberg, I. et al. The FAIR Guiding Principles for scientific data management and stewardship. Sci Data 3, 160018 (2016). https://doi.org/10.1038/sdata.2016.18 2022-10-19 13:
1
2
References
  • 1.
    https://www.go-fair.org/fair-principles/
  • 2.
    M. D. Wilkinson et al. (2016) The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data
Share slide
Summary (AI generated)

In the field of Life Sciences, there is a significant amount of data that has emerged. This trend is not unique to Life Sciences, but it is particularly relevant to our work in this field. The key point to note is that there is substantial support for data management across all fields.