Research Data Management

Information on services and activities related to Research Data Management (RDM) and Research Software Engineering (RSEing) within EXC 2120 IntCDC

Research data management (RDM) encompasses the processes of transformation, selection and storage of research data with the common goal of keeping them accessible, reusable and verifiable in the long term and independent of individuals (

The current RDM strategy and data guidelines for the Cluster of Excellence IntCDC are continuously being further developed. We consider it as a fundamental task of RDM to advice, train, and inform researchers on issues related to research data, in particular on questions of data storage, data documentation and making data accessible. Thereby, we acknowledge legal requirements on the one hand, and open-science practices on the other (e.g. FAIR Principles). According to IntCDC's reasearch data policy, the goal is that each publication should be accompanied by a corresponding published dataset. IntCDC researchers are supported in designing sustainable research software, what is part of research software engineering (RSE). Needs-based training at a scientific level is designed, enabling researchers to develop and deliver software in a sustainable manner. Additionally, quality criteria for the recognition of research data and research software as a full publication at the University of Stuttgart are developed.

Research Data Lifecycle



The main goals of the commission are quality assurance and transparency for digitally oriented research, publication of research data for re-use following the FAIR principles, and support of co-design within IntCDC.



Office Hours

Every Thursday from 14:00 to 15:00 the office hours are held for all questions about research data management and research software engineering. We can either meet online via WebEx or in person

Further Information

Additional comprehensive information is provided on the internal knowlede base.




Emphasizing that research data and research software are actively recognized as an essential part of scientific output. Published datasets and software are listed next to the paper publications on the IntCDC website:

Data and Software on DaRUS

The Data Repository of the University of Stuttgart (DaRUS) is the preferred respoitory for data and software that are published as part of IntCDC's research.



The following recurring events are organized or co-organized by the research data management team of IntCDC.

Visual RDMThe IntCDC RDM Seminar takes place quaterly and is a format for information and discussion on the topic of RDM within IntCDC. It is held in English and online via WebEX. The link for joining the seminar will be communicated via the internal IntCDC Update newsletter. The seminar is complemented by regular office hours for individual support.

Upcoming Dates:

  • tba - Part 1: Motivation, Documentation and Publication

SIGDIUS LogoThe Special Interest Group Data Infrastructure (SIGDIUS) seminar is organized in cooperation with SimTech and takes place on a monthly basis. SIGDIUS provides a forum for interested working groups that want to establish or further develop an RDM infrastructure at the working group or 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 concrete RDM infrastructures. 

Software Carpentry LogoIn cooperation with SimTech, TIK and IZUS we offer Software Carpentry Workshops on a bianual basis. Contents of the workshop are important basics for reproducibility of research with software, like Linux Bash, Version Control with Git and Programming and Plotting in Python. Professional teaching material is maintained by the Carpentries community. As a certified Carpentries Instructor, Matthias Braun is allowed to organize and hold Carpentry Workshops. Registration is open to all students and Phd students of IntCDC and the University of Stuttgart.

October 10-13, 2023 Workshop Website Registration
March 28-31, 2023 Workshop Website
October 4-7, 2022 Workshop Website
October 4-8, 2021 Workshop Website



Data Management Plan

FAIR PrinciplesThe IntCDC Data Management Plan describes the data management life cycle for the data, a Research Project of EXC IntCDC will collect, process and/or generate. Moreover, it describes whether and how this data is being used and/or made publicly available for verification and re-use and how the data will be curated and preserved after the end of the project. 

The generic Data Management Plan template of IntCDC is based on the Horizon 2020 template and is published on DaRUS. As stated in the project proposal of IntCDC, each research project (RP) has to provide its own Data Management Plan.



The following infrastructure and services are made available to all participants of IntCDC to support and implement collaborative tasks related to RDM and RSE.

DaRUS LogoDaRUS, the data repository of the University of Stuttgart, offers a secure location for research data and codes, be it for the administration of own data, for exchange within a research group, for sharing with selected partners or for publishing. Data published on DaRUS complies with the FAIR Principles and is suitable for so called "cold" data that is in a final state and e.g. part of a publication. A persistent identifier (DOI) is assigned to each published dataset. All published datasets are easily citable and reusable for the research community.

IntCDC DataVerses:

GitHub Logo GitHub is a provider of internet hosting for software development and version control using Git, extended by own features. Technical Information and Communication Services of the University of Stuttgart (TIK) operates an on-premise instance of GitHub Enterprise for non-commercial research and teaching use.

Visibility of Repositories
  • GitHub Enterprise
    • Public repositories are visible to everybody logged in to GitHub Enterprise with a university account.
    • Private repositories are only visible to the members of the organization and to the repository’s members.
    • Public repositories are visible to all people with access to the Internet.
    • Private repositories are only visible to the members of the organization and to the repository’s members.
IntCDC GitHub Organizsations

Confluence Logo Confluence by Atlassian is a web-based corporate wiki software that enables collaborative knowledge documentation. The University of Stuttgart runs their own on-premise Confluence Data Center, which is available to all participants of IntCDC and serves as central knowledge base.

Network Share Logo The Network Share provided by the TIK allows the internal storage and exchange of large data and is the storage location for currently procesed research data.



Research software projects at IntCDC are individually supported and also new long-term software projects that support the research within IntCDC are initiated.

(more details are coming soon...)

RSE Stuttgart Chapter Logo The de-RSE Chapter Stuttgart gathers all people working in or interested or involved in research software engineering (RSEing)in the region of Stuttgart.

  • Feel free to join the rse-stuttgart mailing list to be informed about all RSE related activities.
  • Overview of all deRSE Chapters in Germany
  • The German RSE Society de-RSE e.V.
  • The RSE Community of Stuttgart exchanges on a regulars' tables after the SIGDIUS seminar.
  • Emphasizing the emerging importance for sustainable management of research software at the University of Stuttgart the following position paper "Managing research software at the University of Stuttgart" was published.
  • Open RSE positions are regularly communicated via the mailing list.



IntCDC implements and commits to following guidelines related to RDM:

  • German Research Foundation DFG Logo

    • Code of Conduct - Guidelines for Safeguarding Good Research Practice [PDF]
    • Guidelines on the Handling of Research Data [PDF]
    • Specification of Requirements Relating to the Handling of Research Data in Funding Proposals. See supplemental catalogue of questions [PDF]

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 centers) 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.

Bausteine Forschungsdatenmanagement Logo




deRSE Unconference 2023

September 26-28 2023

International Data Week 2023

October 23-26 2023



February 20-21 2023

RDA Deutschland Tagung

February 13-17 2023

NFDI4Ing Conference 2022
(English, online, free of charge)

October 16-17 2022

International Data Week 2022
(English, in-person and virtually in Seoul, South Korea )

June 20-23 2022

RDA Deutschland Tagung 2022
(German, online, free of charge)

Februar 21-25 2022

(English, online, free of charge)

Februar 21-25 2022

NFDIxCS Forschungsdaten-Soiree

    • See the events page for upcoming dates (German, online via Zoom)
    • You can find all previous talks on the Youtube Channel of the Gesellschaft für Informatik (GI).



The Technical Services for Information and Communication of the University of Stuttgart (TIK) offer an extensive IT-service portfolio. See all services listed on the overview.

  • bwSync&Share Logo Cloud service for sharing and collaboration on Office documents
  • bwCloud Logo Infrastructure as a Service for operating own servers (virtual machines)



See ZENDAS (Central Data Protection Office of the Universities in Baden-Württemberg ) for information on data protection issues (Note: Some pages are only accessible from within the university network).

  • NFDI (Association German National Research Data Infrastructure) promotes science and research through a national research data infrastructure that establishes and develops comprehensive research data management in Germany and increases the efficiency of the entire German science system.
  • NFDI4Ing (National Research Data Infrastructure for Engineering Sciences) brings together the engineering communities to work towards proper research data management (RDM) that implements the FAIR data principles.
  • NFDI4Culture (Consortium for Research Data on Material and Immaterial Cultural Heritage) establishes a needs-based infrastructure for research data ranging from architecture, art history and musicology to theatre, dance, film and media studies.




Research Data Management

To the top of the page