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 (forschungsdaten.info).
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.
COMISSION
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.
Members
INTERNAL
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.
TEAM
PUBLICATIONS
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.
EVENTS
The following recurring events are organized or co-organized by the research data management team of IntCDC.
The 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
The 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.
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Current Schedule
In 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.
Upcoming
October 10-13, 2023 | Workshop Website | Registration |
Past
March 28-31, 2023 | Workshop Website |
October 4-7, 2022 | Workshop Website |
October 4-8, 2021 | Workshop Website |
MANAGEMENT
Data Management Plan
The 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.
COLLABORATIVE INFRASTRUCTURE
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, 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 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.
- GitHub.com
- 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
- Github Enterprise
- Github.com
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.
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 ENGINEERING
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...)
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 liste@de-RSE.org mailing list.
COMMITTMENT
IntCDC implements and commits to following guidelines related to RDM:
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Research Data Policy of the University of Stuttgart [PDF] - Competence Center for Research Data Management at the University of Stuttgart
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Max Planck Institute for Intelligent Systems
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Rules of Good Scientific Practice [PDF]
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- Code of Conduct - Guidelines for Safeguarding Good Research Practice [PDF]
- Guidelines on the Handling of Research Data [PDF]
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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.
FURTHER INFORMATION
Upcoming
deRSE Unconference 2023 |
September 26-28 2023 |
International Data Week 2023 |
October 23-26 2023 |
Past
February 20-21 2023 |
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February 13-17 2023 |
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NFDI4Ing Conference 2022 |
October 16-17 2022 |
International Data Week 2022 |
June 20-23 2022 |
RDA Deutschland Tagung 2022 |
Februar 21-25 2022 |
rSE22-Konferenz |
Februar 21-25 2022 |
NFDIxCS Forschungsdaten-Soiree
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2021 |
TIK
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.
Highlights
ZENDAS
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).
- Here you can find offical English samples for research projects that require a declaration of consent:
- Software Sustainability Institute facilitated the advancement of software in research.
- Forschungsdaten.info is the German-language information portal on research data management.
- 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.