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

TL;DR

The paper introduces the Reproducible Research Platform (RRP), an open-source environment that unifies data and software management to enhance reproducibility and accessibility across scientific disciplines.

Contribution

It presents a novel, modular platform that integrates data management with containerized environments, enabling seamless, reproducible research workflows across domains.

Findings

Successfully reproduced diverse published studies, including decade-old work.

Demonstrated sustained reproducibility and usability of RRP.

RRP is accessible via a simple graphical interface and compatible with various computing environments.

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.