🟡RODMM Framework
Research Open Data Management Matrix (RODMM Framework)
The Research Open Data Management Matrix
This matrix aims to introduce researchers to the essential and interconnected concepts of Open Science, Research Data Management (RDM), the FAIR Principles, and Data Governance. These concepts are often presented in isolation, leaving researchers unclear about how they relate. This matrix is designed to bridge that gap by showing their interdependencies clearly and in a structured.
The Research Open Data Management Matrix is a comprehensive framework that supports effective data management across the entire research data lifecycle, fully aligned with Open Science and FAIR (Findable, Accessible, Interoperable, and Reusable) principles.
Structured around the key stages of the data lifecycle—collection, processing, analysis, preservation, and sharing—the Matrix offers practical, actionable guidance at each step to help ensure data remains FAIR. It emphasizes open data practices, promoting broad and unrestricted access to research data so it can be reused and repurposed by the wider scientific community.
A central feature of the Matrix is its focus on robust data governance. This includes developing and enforcing policies, procedures, and standards that ensure data quality, privacy, security, and regulatory compliance. Strong governance safeguards the production of accurate, reliable, and ethically managed data, building trust and accountability in the research process.
The Research Open Data Management Matrix is essential for researchers and data managers. Enabling informed decision-making throughout the data lifecycle promotes efficient, transparent, and reproducible research. This, in turn, cultivates a culture of openness and collaboration, advancing scientific discovery and delivering lasting benefits to the global research community.
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