4.6 Article

The metabolomics workbench file status website: a metadata repository promoting FAIR principles of metabolomics data

Journal

BMC BIOINFORMATICS
Volume 24, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s12859-023-05423-9

Keywords

Metabolomics Workbench; Validation; mwtab; FAIR; Metadata repository; Website

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An updated version of the mwtab Python package for accessing the Metabolomics Workbench data repository was released in 2021. It includes validation facilities to detect and catalog file inconsistencies and errors in publicly available datasets. A website, the MetabolomicsWB File Status, was developed to provide continuous validation and interface for these issues.
BackgroundAn updated version of the mwtab Python package for programmatic access to the Metabolomics Workbench (MetabolomicsWB) data repository was released at the beginning of 2021. Along with updating the package to match the changes to MetabolomicsWB's 'mwTab' file format specification and enhancing the package's functionality, the included validation facilities were used to detect and catalog file inconsistencies and errors across all publicly available datasets in MetabolomicsWB.ResultsThe MetabolomicsWB File Status website was developed to provide continuous validation of MetabolomicsWB data files and a useful interface to all found inconsistencies and errors. This list of detectable issues/errors include format parsing errors, format compliance issues, access problems via MetabolomicsWB's REST interface, and other small inconsistencies that can hinder reusability. The website uses the mwtab Python package to pull down and validate each available analysis file and then generates an html report. The website is updated on a weekly basis. Moreover, the Python website design utilizes GitHub and GitHub.io, providing an easy to replicate template for implementing other metadata, virtual, and meta- repositories.ConclusionsThe MetabolomicsWB File Status website provides a metadata repository of validation metadata to promote the FAIR use of existing metabolomics datasets from the MetabolomicsWB data repository.

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