Exposome requires that data and analysis code supporting an article's conclusions be made publicly available, with documented exceptions for sensitive human-subject data.

Default expectation

Authors of empirical research articles must deposit data and analysis code in a public repository with a persistent identifier (DOI), and cite the deposit in the manuscript's Data Availability Statement.

Acceptable repositories

• General: Zenodo, Figshare, Dryad, Open Science Framework
• Metabolomics / chemical exposomics: MetaboLights, Metabolomics Workbench, MassIVE
• Proteomics: PRIDE, MassIVE
• Genomics / transcriptomics: GEO, ArrayExpress, ENA, SRA
• Sensitive human-subject data: dbGaP, EGA, with controlled-access protocols described

Code archiving

Analysis code must be archived with a persistent identifier (e.g., Zenodo deposit triggered from a GitHub release). A live GitHub URL alone is not sufficient — the archived snapshot is what is cited.

Exceptions

Where deposit is impossible (legal, ethical, or contractual constraints), authors must describe the constraint in the Data Availability Statement and provide a contact for legitimate data access requests.