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Research Data Management (RDM) encompasses the active process of handling research data throughout its entire lifecycle, from planning and creation to archiving and sharing. It involves implementing data management best practices to ensure data integrity, accessibility, and security, ultimately enhancing research reproducibility, facilitating scientific data curation, and supporting data lifecycle management for long-term impact.

Explore the comprehensive updates in the Data Management Plan Second Edition, a vital resource for effectively organizing, storing, and sharing your data. This revised guide incorporates the latest best practices and regulatory considerations, designed to help researchers and project managers establish robust data governance frameworks and streamline their data lifecycle from inception to preservation.