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Cologne Competence Center for Research Data Management (C3RDM)

RDM – a practice-oriented introduction

Format: full-day workshop, introductory course

Methods: Online seminar (Zoom) with knowledge transfer, exchange of experiences, group work

Registration and dates: via AMC, see sidebar for links and dates

Topic
RDM, FAIR, PID, TSM, DMP – being confronted with many acronyms in the context of research data management (RDM) makes it difficult to become familiar with this important aspect of good research practice. The concept of RDM includes a whole range of methods, tools, and services to make your research results reproducible and the valuable digital data safe and well documented. In order to keep an overview of your research data throughout the research process, to be able to work on it collaboratively, to re-use published data, or to make your own available to third parties, we will familiarize you step by step with the meaning of the acronyms mentioned above.

Workshop aim
In the workshop you will receive a practice-oriented, cross-disciplinary introduction to the fundamentals of RDM. Afterwards you will know how to actively plan and document your RDM during your current research project. Additionally you will receive an overview of C³RDM's support services for all phases of the research data lifecycle.

Target group
All researchers at the University of Cologne. With its focus on practice, however, the full-day format is primarily aimed at PhD candidates and early-career researchers.

Prerequisites
None. However, completion of this workshop is one way to meet entry requirements for the C³RDM's advanced course How to write a data management plan (DMP)?.

Seminar contents
The workshop will cover the following topics:

  • How do we define research data?
  • What should be considered in terms of storage and backup? What about access restrictions and when are these useful/necessary?
  • What kind of storage and backup solutions are provided at UoC?
  • How can research data be organized and how can data handling be documented efficiently?
  • What should be considered with regard to collaborative data handling?
  • How can research data be published and why should it be done?
  • What are repositories, metadata and persistent identifiers and why are they necessary?
  • What are the FAIR principles?
  • What is a DMP and why is it needed?

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