Our Research Data Management Services

Research data management according to the FAIR principles secures the value of your data in the long term. The service center offers researchers at Hochschule Geisenheim University customized consulting and training as well as IT tools for research data management. Our services include in particular:


Individual Support

Our Research Data Officer is happy to answer any questions you have on research data management:

  • Questions on the general handling of research data
  • Questions on research data management in externally funded projects
  • Assistance in creating data management plans
  • Assistance in creating and updating data management plans with RDMO
  • Assistance in organizing research data over the course of the project
  • Assistance in choosing and implementing a suitable archiving and publication strategy
  • Documentation of research data and use of structured metadata
  • Searching for research data
  • Advice on legal issues
RDMO – Research Data Management Organizer

In cooperation with TU Darmstadt and as part of the HeFDIs project, Hochschule Geisenheim University now offers the RDMO online platform (Research Data Management Organizer), which is designed to create and manage research data management plans collaboratively.

Are you planning to submit a research proposal and need to include a data management plan (DMP)? Or are you in the middle of a research project and need to manage the associated DMP? By asking you a series of questions, the RDMO tool guides you through all the important aspects of your data management. Your answers are then exported as a data management plan.

The tool is available via the website

First steps:

  • RDMO login via Shibboleth
  • Create a new project
  • Start the questionnaire and invite other people, if applicable
  • Export a data management plan

The questionnaire will cover different topics, depending on the research funding organizing. In general, a data management plan includes the following aspects:

  1. Project description
  2. Existing data and studies
  3. Planned data collection within the project
  4. Data organization
    • Storage
    • Metadata
    • Access
  5. Administrative and legal aspects
    • Intellectual property
    • Permits and authorization
    • Data protection
    • Back up
  6. Archiving, exchange and publication
  7. Responsibilities and obligations
  8. Costs and resources

The aim is to understand the processes and technologies involved in the entire life cycle of research data. Therefore, the DMP is continuously adapted to the changing conditions of a project. It is part of the planning and management of a research project and requires care and consideration.

At present, the questionnaire of Horizon Europe is available. More questionnaires will follow soon.