Researchers Adopt Effective Research Data Management Rules
Max J. Hassenstein and Klaus Jung publish 'Ten Simple Rules for Effective Research Data Management' in PLoS Computational Biology on December 8, 2025. The paper outlines ten institutional- and project-level rules covering policy compliance, ethics, data lifecycle, storage, and reuse, and provides practical strategies and tools for implementation. The guidance aims to improve reproducibility, facilitate data sharing, and streamline institutional data governance.
Key Points
- 1Present ten practical rules for institutional and project-level research data management
- 2Highlight policy, ethical, and lifecycle factors that shape reproducibility, reuse, and compliance
- 3Provide actionable guidance and tools enabling institutions to standardize workflows and improve data reuse
Scoring Rationale
Practical, peer-reviewed guidance with strong applicability; limited novelty because it consolidates established best practices for institutions.
Sources
Public references used for this report.
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