A multi-omics data analysis workflow packaged as a FAIR Digital Object.

ABSTRACT:

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 workflows in the research community. We developed a multi-omics data analysis workflow implementing FAIR practices to share it as a FAIR Digital Object.

Findings

We conducted a case study

SUBMITTER: Niehues A 

PROVIDER: S-EPMC10787363 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature