The ELIXIR Metabolomics Community relies on standards, formats and data treatment solutions development and adoption, but it remains challenging to ensure high-quality reported metadata, sufficiently contextualised results, interoperable and reusable datasets and to integrate these metabolomics data with other omics or studies.
This project is designed to address these issues and aims to connect key international standards with ELIXIR resources, as well as creating associated community guidelines and training materials.
Based on the FAIRification framework, activities in the project will:
- Increase interoperability and reuse of public metabolomics datasets and workflows through enhanced and extended open data standards, resources and new semantic annotations
- Define, ensure and establish quality control for study baselines in Metabolomics and Exposomics
- Facilitate metabolomic data interpretation and meta-analysis integration with multi-omics and systems biology studies
As a first necessary step, the project will create a Semantic Metabolomics Data Model to standardise metadata, ensuring unambiguous reuse of metabolomics projects. This model will focus on integrating key ontologies, providing open training initiative and enhancing the interoperability of metabolomics data through the production of open guidelines for annotation steps. By linking with ELIXIR’s Deposition databases, ISA Framework and other services, the project seeks to boost interconnection with ELIXIR platforms, other ELIXIR communities (Systems Biology, Food and Nutrition, Galaxy, Proteomics, Toxicology, Research Data Alliance Focus Group, etc.), the FAIR Cookbook and BioSchemas.org communities. Project outcomes are expected to promote the emergence of ambitious and innovative semantic-based solutions for inter-comparison of studies in healthcare, clinical and plant domains.
