About & policies · Journal of Reproducible Health Sciences

About the journal

last updated 2026-08-12

The Journal of Reproducible Health Sciences publishes reproducible research in the health sciences: epidemiology, public and global health, clinical and rehabilitation sciences, health data science and biostatistics, and environmental and occupational health. It is published by FAIR Press Journals GmbH, a reproducibility-first academic imprint. Review is AI-assisted and fully disclosed, and a named human editor reads and signs every decision.

The journal at a glance

  • Publisher: FAIR Press Journals GmbH (fairpressjournals.com), commercial register CHE-237.825.846
  • ISSN: pending
  • Sections: Epidemiology · Public & Global Health · Clinical & Rehabilitation Sciences · Health Data Science & Biostatistics · Environmental & Occupational Health · Study Protocols & Statistical Analysis Plans. One title, one editorial board, see aims & scope.
  • Access: open access. Published articles are licensed CC-BY 4.0 and authors keep copyright.
  • Publication schedule: articles publish continuously. An accepted article goes live as soon as production and verification are complete, and never waits for an issue. Articles are collected into one annual volume and cited by volume, year and article number.
  • Published so far: nothing yet. The founding articles of Volume 1 are being assembled.
  • Contact: contact@fairpressjournals.com

What "reproducible" means

Health research is where reproducibility is hardest, and for a good reason: the evidence often rests on records that may never be published. So this journal sets the standard at as reproducible as the data allow, and every article reports how far it was met. What is rerun is the analysis: the deposited code, over the deposited data or an author-supplied surrogate, regenerating the results as printed. A badge of ✓ Reproduced means that check passed, never that a cohort was re-recruited or a trial re-run. Where only some reported results come back, it reads ◑ Partially reproduced.

Where the underlying records cannot be released (patient data, registers, linked administrative data, data held under a use agreement) the article carries the Privacy-limited badge. A documented restriction with its access route stated is never treated as a fault, and an author-supplied anonymised or synthetic surrogate is a route to verification in its own right. Every article's reproducibility panel says in words what was checked and what was not. The package a submission carries, and the routes for restricted data, are described in data & code availability.

Two channels

Your manuscript. Submissions are assessed by a disclosed, multi-agent review engine running on a commercial model API under a data processing agreement with EU standard contractual clauses: manuscripts are not used to train models and are deleted under contractual retention limits. Every queued manuscript goes through that path. Manuscripts and anything shipped with them must therefore be de-identified before upload. If identifiable individual-level data are nonetheless found in a submission, the editor stops the assessment, has the material purged, requests its deletion under the contract's retention rule, and contacts the corresponding author.

Sensitive datasets. The imprint's opt-in, separately priced safe-companion-dataset service is a different channel. The raw records stay in a controlled environment and never touch a cloud AI model. The service is optional, has no bearing on any editorial decision, and is described on data & code availability.

Policies

Every policy the journal operates under, in one place.

About

  • Aims & scopeWhat we publish, what is out of scope in v1, and what the reproducibility badge claims.
  • Editorial boardThe founding field editor, how the board is composed, and who hears an appeal.

For authors

Integrity

Illustrations: AI-generated, curated by the editors.