FAIR data station for lightweight metadata management and validation of omics studies.

ABSTRACT:

Background

The life sciences are one of the biggest suppliers of scientific data. Reusing and connecting these data can uncover hidden insights and lead to new concepts. Efficient reuse of these datasets is strongly promoted when they are interlinked with a sufficient amount of machine-actionable metadata. While the FAIR (Findable, Accessible, Interoperable, Reusable) guiding principles have been accepted by all stakeholders, in practice, there are only a limited number of easy-to-adopt implementations available that fulfill the needs of data producers.

Findings

We developed the FAIR Data Station, a lightweight application written in Java, that aims to support researchers in managing research metadata according to the FAIR principles. It implements the ISA metadata framework

SUBMITTER: Nijsse B 

PROVIDER: S-EPMC9989329 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature