The Research Data Management (RDM) lifecycle accompanies data throughout all phases of a research project. From planning, collection, processing, and analysis to storage, sharing or publication, and long-term reuse – each phase contributes to ensuring the value and quality of research data. The following subpages provide an overview of the key steps and best practices in each phase.