The Reproducible Research Platform establishes a unified open science environment bridging data and software lifecycles across disciplines, from proposal to publication

• URL: http://arxiv.org/abs/2512.06039v1
• Date: Thu, 04 Dec 2025 22:02:19 GMT
• Title: The Reproducible Research Platform establishes a unified open science environment bridging data and software lifecycles across disciplines, from proposal to publication
• Authors: Andreas P. Cuny, Henry Lütcke, Andrei-Valentin Plamadă, Antti Luomi, John Hennig, Matthew Baker, Fabian Rudolf, Bernd Rinn,
• Abstract summary: We developed the open-source Reproducible Research Platform (RRP), which unifies research data management with version-controlled, containerized computational environments.<n>RRP enables anyone to execute, reuse and publish fully documented, FAIR research without manual retrieval or platform-specific setup.<n>We demonstrate RRP's impact by reproducing results from diverse published studies, including work over a decade old, showing sustained usability.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: Many research groups aspire to make data and code FAIR and reproducible, yet struggle because the data and code life cycles are disconnected, executable environments are often missing from published work, and technical skill requirements hinder adoption. Existing approaches rarely enable researchers to keep using their preferred tools or support seamless execution across domains. To close this gap, we developed the open-source Reproducible Research Platform (RRP), which unifies research data management with version-controlled, containerized computational environments in modular, shareable projects. RRP enables anyone to execute, reuse, and publish fully documented, FAIR research workflows without manual retrieval or platform-specific setup. We demonstrate RRP's impact by reproducing results from diverse published studies, including work over a decade old, showing sustained reproducibility and usability. With a minimal graphical interface focused on core tasks, modular tool installation, and compatibility with institutional servers or local computers, RRP makes reproducible science broadly accessible across scientific domains.

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