Research Data Management (RDM)

Definition of Research Data Management (RDM)

Research Data Management (RDM) is the process that includes all methods and procedures that aim to make research data usable over the long-term. RDM usually includes the following steps:

  • Planning
  • Data Collection
  • Data Processing & Analysis
  • Data Sharing & Publishing
  • Digital Preservation
  • Data Discovery & Reuse

Research data life cycle

The RDM steps can be represented as a cycle called the research data life cycle:

Research data life cycle

Benefits of RDM

  • Researchers’ own interests
    • Good Scientific Practice (GSP)
    • Knowledge management / transfer
    • Preventing data loss
    • Saving yourself time in the future
  • External interests
    • Research funders
    • Publishers
    • Researchers’ own institution

Consequences of poor RDM

Consequences of poor RDM include paper retraction (e.g. González Amorós & de Puit).

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