Project description
The ELIXIR metabolomics community relies on the development and adoption of standards, formats, and data processing solutions, but challenges remain in ensuring high-quality metadata, sufficiently contextualized results, interoperable and reusable datasets, and integrating these metabolomic data with other omics studies or data.
This project is designed to address these issues and aims to link key international standards to ELIXIR resources, as well as create associated guidelines and training materials for the community.
Based on the FAIRification framework, the project activities will:
- to increase the interoperability and reuse of public metabolomics datasets and workflows through improved and expanded open data standards, resources, and new semantic annotations;
- to define, ensure and establish quality control for the reference bases of metabolomics and exposomal studies;
- to facilitate the interpretation of metabolomic data and the integration of meta-analysis with multi-omics and systems biology studies.
