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The Reproducibility Management Plan (RMP) Pilot delivered a prototype that extended traditional Data Management Plans (DMPs) by embedding reproducibility across the entire research output lifecycle. It defined the RMP both as a concept and an output, integrated it into the ARGOS platform, and demonstrated its value through co-creation activities with researchers working on active Horizon Europe projects as well as funders and decision-makers working on Open Science policies. The Pilot provided funders and service providers with clear recommendations and practical guidance for adoption in existing research planning workflows. Its main outputs, a recommendation document and a complete RMP template, are publicly available via the TIER2 website, OSF, and ARGOS. Ongoing collaboration with related projects has broadened its impact and promoted wider adoption of reproducibility practices in future research initiatives.
Addressing target audiences and expressing needs
- Use of research Infrastructure
- Collaboration
We specifically need / are looking for
- Researchers and research communities to use the RMP prototype and provide feedback that will improve it in their field.
- Funders to adopt it in their existing DMP requirements and support reproducibility in publicly funded projects.
This work will help:
- Emphasise reproducibility activities within the research lifecycle.
- Streamline reproducibility practices in publicly funded research projects.
- Provide researchers, funders and service providers with tools, guidance and case studies that support a common understanding of reproducibility across diverse domains.
- Public or private funding institutions
- Research and Technology Organisations
- Academia/ Universities
R&D, Technology and Innovation aspects
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Value Proposition:
RMPs strengthen reproducibility by integrating data, software, methods, and workflows into structured, machine-actionable plans. Unlike DMPs, they document connections across inputs, outputs, contributors, infrastructure, and methods. By embedding reproducibility from the start, RMPs help researchers plan proactively and enable funders to monitor implementation systematically.
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MAROUSSI
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Greece
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