The Implementation and Demonstration of the X-omics FAIR Data Cube

The FAIR (Findable, Accessible, Interoperable and Reusable) principles were proposed to guide researchers to describe and share their data to increase data reuse and research reproducibility. Creating FAIR data can be challenging for multi-omics researchers due to a lack of tooling and a diverse landscape of (meta)data standards differing across -omics types. In X-omics, we develop a FAIR Data Cube – a set of tools and services that help researchers in different stages of the Research Data Life Cycle including the Creation and publish of multi-omics and metadata, Querying multi-omics studies, Analyzing access-protected data