FAIRness Literacy: The Achilles' Heel of Applying FAIR Principles. (11th August 2020)
- Record Type:
- Journal Article
- Title:
- FAIRness Literacy: The Achilles' Heel of Applying FAIR Principles. (11th August 2020)
- Main Title:
- FAIRness Literacy: The Achilles' Heel of Applying FAIR Principles
- Authors:
- David, Romain
Mabile, Laurence
Specht, Alison
Stryeck, Sarah
Thomsen, Mogens
Yahia, Mohamed
Jonquet, Clement
Dollé, Laurent
Jacob, Daniel
Bailo, Daniele
Bravo, Elena
Gachet, Sophie
Gunderman, Hannah
Hollebecq, Jean-Eudes
Ioannidis, Vassilios
Bras, Yvan Le
Lerigoleur, Emilie
Cambon-Thomsen, Anne - Abstract:
- The SHARC Interest Group of the Research Data Alliance was established to improve research crediting and rewarding mechanisms for scientists who wish to organise their data (and material resources) for community sharing. This requires that data are findable and accessible on the Web, and comply with shared standards making them interoperable and reusable in alignment with the FAIR principles. It takes considerable time, energy, expertise and motivation. It is imperative to facilitate the processes to encourage scientists to share their data. To that aim, supporting FAIR principles compliance processes and increasing the human understanding of FAIRness criteria – i.e., promoting FAIRness literacy – and not only the machine-readability of the criteria, are critical steps in the data sharing process. Appropriate human-understandable criteria must be the first identified in the FAIRness assessment processes and roadmap. This paper reports on the lessons learned from the RDA SHARC Interest Group on identifying the processes required to prepare FAIR implementation in various communities not specifically data skilled, and on the procedures and training that must be deployed and adapted to each practice and level of understanding. These are essential milestones in developing adapted support and credit back mechanisms not yet in place.
- Is Part Of:
- Data science journal. Volume 19(2020)
- Journal:
- Data science journal
- Issue:
- Volume 19(2020)
- Issue Display:
- Volume 19, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 19
- Issue:
- 2020
- Issue Sort Value:
- 2020-0019-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-08-11
- Subjects:
- FAIR principles -- FAIRness literacy -- FAIR assessment, Research data sharing -- FAIRification -- Pre-FAIRification
Science -- Data processing -- Periodicals
Database management -- Periodicals
502.85 - Journal URLs:
- http://datascience.codata.org/ ↗
http://www.codata.org/dsj/index.html ↗ - DOI:
- 10.5334/dsj-2020-032 ↗
- Languages:
- English
- ISSNs:
- 1683-1470
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 15017.xml