Data Champions Guide for Research Data Management
  • Data Champions Program
    • 🔵Data Champions at reNEW
    • 🔵License and Reusability
    • 🔵Contact Details
  • RDM Resources
    • 🟢What is RDM?
      • 🟢RDM Checklist
      • 🟢Research Project Process
    • 🟢Labguru Support
    • 🟢Research Portal
    • 🟢RDM Portal
  • Elixir Resources
    • 🟠What is Elixir?
      • 🟠RDM Guide for Life Sciences (Elixir)
      • 🟠RDM Kit for Life Sciences (Elixir)
      • 🟠RDM Kit for BioImaging (Elixir)
      • 🟠RDM Kit for Bioinformatics (Elixir)
      • 🟠RDM Kit for Data Repository (Elixir)
  • Organizing Your Data
    • 🟣Batch Renaming
    • 🟣File and Folder Tips
      • 🟣File and Folder Tips I
      • 🟣File and Folder Tips II
      • 🟣File and Folder Tips III
      • 🟣File and Folder Tips IV
      • 🟣README File Template
  • EOSC
    • 🔴European Open Science Cloud
  • DMP Resources
    • 🟡DMP
      • 🟡DMP Planning
      • 🟡Data Management Plans
    • 🟡DMP Templates
      • 🟡EU Grants
        • 🟡EU Grants
          • 🟡Horizon Europe DMP
          • 🟡Horizon 2020 DMP
          • 🟡ERC DMP
        • 🟡Marie Curie Program
          • 🟡Implementation Guide for Marie Curie Fellows
          • 🟡Marie Curie Fellows Website
        • 🟡Horizon Europe DMP
        • 🟡Horizon 2020 DMP
        • 🟡ERC DMP
      • 🟡Genomics
        • 🟡10X scRNA Sequencing
        • 🟡Bulk RNA Sequencing
        • 🟡ChiPseq ATAC Sequencing
        • 🟡CUT and RUN/CUT and TAG Sequencing
        • 🟡Whole Genome Sequencing
      • 🟡UCPH
    • 🟡DeiC DMP Online
  • Information Videos
    • 🟢Information Videos
      • 🟢Organize Your Data
      • 🟢OMERO Plus Demo - Glencoe Software
      • 🟢reNEW Labguru Training Video 1
      • 🟢reNEW Labguru Training Video 2
      • 🟢Horizon Europe DMP - Webinar
    • 🟢eLearning RDM
  • Open Science
    • 🟠FAIR Principles
    • 🟠FAIR Principles - MP4
    • 🟠Open Science - 8 Pillars
  • Biomedical Repository
    • ⚪Biomedical Data Repositories
      • ⚪Guidance: Biomedical Repositories I
      • ⚪Guidance: Biomedical Repositories II
      • ⚪PLOS Guidance: Biomedical Repositories III
  • reNEW Websites
    • 🟣reNEW Websites
      • 🌎reNEW Website
      • 🌎reNEW Connect
      • 🌎reNEW KUnet
      • 🌎reNEW Genomics
      • 🌎reNEW Imaging
      • 🌎reNEW DanGPU
      • 🌎reNEW Flow Cy
    • 🟣Research Groups
      • 🟣Aragona Group
      • 🟣Brickman Group
        • Brickman Group
      • 🟣Jensen Group
      • 🟣Kirkeby Group
      • 🟣Little Group
      • 🟣Sedzinski Group
      • 🟣Zylicz Group
  • GDPR Resources
    • 🔴Data Protection Agency
    • 🔴GDPR for Researchers
    • 🛑GDPR Resouces
    • 🛑GDPR - Project Like Mine
  • UCPH IT Resources
    • 🟤Archive vs. Backup
    • 🟤UCPH HPC Guide
    • 🟤UCPH Data Storage
    • 🟤UCPH Research IT
  • Infographics
    • 🟠FAIR Principles
    • 🟠Open Science Pillars
    • 🟠Research Process
    • 🟠RODMM Framework
    • 🟠UCPH HPC Quick Guide
  • reNEW RDM Blog
    • 🟡Monthly Blog
      • 🟡Disclaimer
      • 🟡Blog Post - May 2024
      • 🟡Blog Post - June 2024
      • 🟡Blog Post - July 2024
      • 🟡Blog Post - Aug 2024
      • 🟡Blog Post - Sept 2024
      • 🟡Blog Post - Oct 2024
      • 🟡Blog Post - Nov 2024
    • 🟡License and Acknowledgements
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  1. Infographics

RODMM Framework

Research Open Data Management Matrix (RODMM Framework)

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Last updated 6 months ago

The Research Open Data Management Matrix is a comprehensive framework designed to support effective research data management throughout its lifecycle, adhering to Open Science and FAIR (Findable, Accessible, Interoperable, and Reusable) principles. It is structured around the key stages of the data lifecycle and incorporates essential data management practices.

At each stage—collection, processing, analysis, preservation, and sharing—the Matrix provides actionable guidance to ensure data remains FAIR. It emphasizes the adoption of open data practices, advocating for unrestricted access to research data, enabling its reuse and repurposing by the wider research community.

A central component of the Matrix is its focus on robust data governance. This encompasses developing and enforcing policies, procedures, and standards that ensure high data quality, privacy, security, and compliance with regulatory requirements. These measures foster the production of accurate, reliable, and ethically managed data, reinforcing trust and accountability in research.

The Research Open Data Management Matrix is a vital tool for researchers and data managers, enabling informed decision-making throughout the data lifecycle. Promoting efficient, transparent, and reproducible research cultivates a culture of openness and collaboration, ultimately advancing scientific discovery and benefiting the global research community.

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Research Open Data Management Matrix (RODMM)
Research Open Data Management Matrix (RODMM)