Generic RDM

Overview

Fundamentally, research data management (RDM) refers to all measures aimed at ensuring the quality of research data. Comprehensive and sustainable RDM guarantees long-term accessibility, reusability, and verifiability of research data – independent of the data providers.

To understand the specifics of RDM, the importance of a data management plan, and the FAIR principles, you can find valuable information in the article section on the basics of research data management.

Especially in the processes of data curation in a research data center, there are a variety of steps and methods of RDM that are applied independently of the respective discipline and can therefore be described as “generic research data management”. We have summarized the corresponding contributions for you here at a glance:

  • Create & Receive
  • Appraise & Select
  • Ingest (or Dispose)
  • Preservation Action (Reappraise, Migrate)
  • Storage & Secure
  • Access, Use & Reuse
  • Transform

If you are interested in data-specific features, please navigate to the section containing articles on data-specific research data management (RDM).