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Metabolomics Hub

With the growth of public metabolomics datasets worldwide, there is an urgent need for standardized, interoperable repositories that promote international collaboration. A novel global consortium designed to standardise open data practices in the field, by creating a unified, FAIR (Findable, Accessible, Interoperable, and Reusable)-compliant infrastructure for the exchange, discovery, and reuse of metabolomics data, has been recently funded by The Chan Zuckerberg Initiative (CZI).

Building on the successful models of ProteomeXchange and the International Nucleotide Sequence Database Collaboration (INSDC), the consortium brings together major repositories — MetaboLights, Metabolomics Workbench, and GNPS/MassIVE as the starting point—and partners with researchers, funders, journals, and technology vendors.

This initiative will implement a common data model for datasets in all data repositories included in the Consortium, develop open-source tools and software, and promote community adoption of open standard data formats such as mzTab-M and Universal Spectrum Identifiers (USIs) maintained by HUPO-PSI. Moreover, a centralized web portal will be developed to provide unified access to standardized public datasets, enabling discoverability of open datasets, which will enable large-scale meta-analyses and improvements in experimental reproducibility. This collaborative infrastructure lays also the groundwork for data-driven discovery and data integration with other omics.

Metabolomics Hub Data File Standards

Metabolomics Hub Rest APIs

  • MHD Submission Rest API v0.1
  • MHD Search Rest API