FAIR and efficient Research Data Management

14. Jun 2024
Presence, University campus
Academic Skills Training
Dr. Nadine Neute
Event type
Event Language(s)
  • Target groups: doctoral candidates & postdoctoral researchers
  • Language: English
  • Date/Time: 14.06.2024, 10 a.m. to 4 p.m.
  • Maximum number of participants: 15
  • Deadline of registration: 10.06.2024

Workshop content

The workshop deals with the practical implementation of data management.

Topics covered include:

  • Definitions, terms, basics
  • Policies, guidelines and legal framework
  • Research data life cycle
  • Finding research data
  • Data management plans
  • Data protection/personal data
  • Sustainable data organization (formats, data documentation)
  • Data publication and archiving (repositories, persistent identifiers such as ORCID id, metadata, licenses)
  • The German FDM landscape – NFDI consortia and sections

After this workshop you will know:

  • The most important terms related to research data management
  • Which policies and rules apply to you
  • Why data is important in research and publication
  • How to search for research data
  • What a data management plan is and what it does
  • The basic rules for handling personal data
  • Core aspects of sensible research data handling
  • The possibilities for making research data accessible to third parties
  • The ORCID id
  • The difference between documentation, publication and archiving
  • Which NFDI consortia exist in your speciality

After this workshop you will be able to:

  • Identify FDM terminology and clarify definitions on the basis of the relevant information websites
  • Assess your obligations within the good scientific practice and policies of the University of Erfurt as well as other policies relevant to you.
  • Handle your own research data according to your obligations
  • Identify potentially critical rdm aspects for your project before its starts and take appropriate solutions into account in project planning. At least, you are able to identify consulting needs and actively seek advice.
  • Read a DMP and use it for your own reuse of data and/or processes
  • Assess whether an ethics vote will be necessary for your research project and whether separate advice on the handling of personal data is necessary
  • Select data for publication and archiving
  • Make your own scientific contributions visible in a consistent way through a unique persistent identifier like ORCID id

About the coach

Dr. Nadine Neute works for Servicesstelle Forschungsdatenmanagement at Erfurt University.


You can find the registration form here.

Privacy policy

Please note the data privacy statement.


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