Networking & Dissemination

Exchange and outreach on Research Data Management related topics

Researchers at the IntCDC have several opportunities to network with other research groups on the topic of Research Data Management issues and to share experiences. The aim of these programmes is to promote the establishment of long-term sustainable RDM structures and to contribute to their dissemination.

Dissemination

Seminars

SIGDIUS LogoThe Special Interest Group Data Infrastructure (SIGDIUS) seminar series is organized in cooperation with SimTech and takes place on a monthly basis during lecture time. The seminar provides a forum for interested working groups that want to establish or further develop an RDM infrastructure within their working group or at institute level. To this end, we invite internal and external experts to a monthly SIGDIUS seminar for lecture and discussion, but primarily to give SIGDIUS members the opportunity to share their experiences with specific RDM infrastructures. 

Networking

University of Stuttgart

  • Competence Center for Research Data Management (FoKUS): Supports all researchers at the University of Stuttgart and their partners in the management, documentation and publication of their research data and research software. 
  • FDM-AG: Research data management working group consisting of interested researchers and representatives of infrastructure institutions developing processes, guidelines and best practices for research data management at the University of Stuttgart

RDM Portal of the University of Stuttgart

Germany

Worldwide

  • Research Data Alliance (RDA) - Working/Interest Groups:
    • Sharing Rewards and Credit IG (SHARC)
    • FAIR for Research Software WG (FAIR4RS)
    • Research Data Management in Engineering IG (RDME)

 

Commitment

Commitment to active data and software management in large research alliances

In a joint document that is also signed by Achim Menges as the director of IntCDC, major German research associations (20 clusters of excellence and 6 collaborative research centres) emphasize the importance of research data and software for their research processes. In the declaration, which was published [PDF] in the journal magazine Bausteine Forschungsdatenmanagement (No. 1, 2022) on March 14, 2022, the participating institutions commit themselves to support their researchers as a consortium in handling data and software in accordance with the FAIR principles in agreement with the code "Guidelines for Safeguarding Good Scientific Practice" of the German Research Foundation (DFG) and to use and provide adequate research data management tools and services for this purpose. The foundation for the joint document was laid during the virtual strategy workshop "Data and software management in large research networks" in April 2021, which was organized by the two Clusters of Excellence SimTech and IntCDC at the University of Stuttgart. The spokespersons of the research alliances wrote the final text and clarified the purpose of the Commitment:

  • With the Commitment, the signatory research alliances send a signal that they recognize the importance of research data management (RDM) and that they are taking measures to meet this importance.
  • The commitment shows that the research alliances will contribute their competence in the topic and want to actively shape the future of RDM together with explicit RDM initiatives such as the National Research Data Infrastructure (NFDI) or the European Open Science Cloud (EOSC).
  • In a recent DFG impulse paper with recommendations for the recently started legislative period of the Bundestag, the topic is given high priority with the impulse "Shaping research data management for long-term sustainability". The DFG funding program "Information Infrastructures for Research Data" was also recently updated. The commitment signals, that the research alliances support these current developments and can act as research nuclei for more far-reaching initiatives.

This image shows Matthias Braun

Matthias Braun

Dipl.-Inf.

Research Data Management & Research Software Engineering

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