A multi-omics data analysis workflow packaged as a FAIR Digital Object
Background: Applying good data management and FAIR (Findable, Accessible, Interoperable, and Reusable) data principles in research projects can help disentangle knowledge discovery, study result reproducibility, and data reuse in future studies. Based on the concepts of the original FAIR principles for research data, FAIR principles for research software were recently proposed. FAIR Digital Objects enable discovery and reuse of Research Objects, including computational workflows for both humans and machines. Practical examples can help promote the adoption of FAIR practices for computational w... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2024 |
Reihe/Periodikum: | Niehues , A , de Visser , C , Hagenbeek , F A , Kulkarni , P , Pool , R , Karu , N , Kindt , A S D , Singh , G , Vermeiren , R R J M , Boomsma , D I , van Dongen , J , T'Hoen , P A C & van Gool , A J 2024 , ' A multi-omics data analysis workflow packaged as a FAIR Digital Object ' , GigaScience , vol. 13 , giad115 , pp. 1-12 . https://doi.org/10.1093/gigascience/giad115 |
Schlagwörter: | FAIR / FDO / metadata / multi-omics / RO-Crate / workflow / /dk/atira/pure/keywords/cohort_studies/netherlands_twin_register_ntr_ / name=Netherlands Twin Register (NTR) |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-29210764 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://research.vu.nl/en/publications/10d53339-5c67-4c4f-9b3a-47d8b2f5c5e8 |