Projects per year
They can inherently contribute to the FAIR data principles: by processing data according to established metadata; by creating metadata themselves during the processing of data; and by tracking and recording data provenance.
These properties aid data quality assessment and contribute to secondary data usage. Moreover, workflows are digital objects in their own right.
This paper argues that FAIR principles for workflows need to address their specific nature in terms of their composition of executable software steps, their provenance, and their development.
- scientific workflow
Research Beacons, Institutes and Platforms
- Institute for Data Science and AI
FingerprintDive into the research topics of 'FAIR Computational Workflows'. Together they form a unique fingerprint.
- 3 Finished
1/01/19 → 30/06/22
1/12/17 → 30/11/21
Goble, C. A., Ramakrishnan, L., Peterson, L., Enders, B., Thain, D., Altintas, I., Babuji, Y. N., Badia, R. M., Bonazzi, V., Coleman, T., Crusoe, M. R., Deelman, E., Natale, F. D., Tommaso, P. D., & 25 others, 2021, Zenodo. 25 p.
Research output: Book/Report › Other reportOpen Access
& 33 others, 2016, In: Scientific Data. 3, 160018.
Research output: Contribution to journal › Comment/debate › peer-reviewOpen AccessFile169 Downloads (Pure)
Stian Soiland-Reyes (Invited member)24 Feb 2022 → …
Activity: Membership › Membership of board › Research
27 Dec 2021 → …
Activity: Membership › Membership of committee › Research