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Workshop: Interdisciplinary Basics RDM Online
03.02.2026
Lars Schumann
Research Data Manager
ZEMOS 0.91
Tel.: +49 (0)234 32-15278
Email: resolv[@]ruhr-uni-bochum.de
Research Data Management (RDM)
Research data management (RDM) combines the organization, structuring, documentation, sharing, publication, and secure (long-term) storage of research data. A consistent application of RDM is part of Good Research Practice, and makes it possible to disclose the entire research process to be incorporated and further developed by other researchers, which opens the door to Open Science. Within RESOLV, an efficient data flow between the individual sub-projects supports the gain of knowledge and is substantial. For these reasons, we develop a central data hub covering all relevant RDM tools for internal data sharing and archiving as well as data publications of RESOLV results. Therefore, research data management is an integral part of RESOLV.
Typical RESOLV research data includes experimental, e.g., analytical and spectroscopic data, images, videos, or simulation-related data, e.g., program code, analysis scripts, spreadsheets, log files, raw production data and could be assigned to the four bigger disciplines synthesis, spectroscopy, theory, and engineering.
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RESOLV’s Research Data Management Task Force
In 2020, RESOLV installed a RDM Task Force in order to identify and develop tools to manage the RESOLV research data according to the FAIR (Findable, Accessible, Interoperable, Reusable) principles. The task force consists of dedicated personnel from the relevant disciplines (synthesis, spectroscopy, theory, and engineering). Members of the RDM Task Force are also members of the German National Research Data Infrastructure for Chemistry (NFDI4Chem). The mission of the RESOLV RDM Task Force ist to provide individual RDM support to RESOLV PhD students, Postdocs and other researchers, regular workshops and specific training courses are also offered.
Research Data Repository
Repositories (repos) are data- and document servers where scientific research results in publications and datasets can be stored and made accessible. By assigning metadata, it is possible to make these (data) publications findable via search engines. Usually, a persistent identifier is also assigned (e. g., a DOI) so that the publication is linked sustainably. Increasingly, scientific journals require the submission of a potential data publication in parallel to submitting the manuscript. If the data publication is prepared within a repository and was assigned a DOI, it can be shared for editors and reviewers specifically before the data is made publicly available.
The cluster offers its members the repository RESOLVdata (based on Dataverse) for RESOLV-internal data sharing, annotation, export (publication SI, external repositories), and archiving. In RESOLVdata, specific RESOLV-DOIs are assigned to your research data to be linked in your manuscript submissions.
Comprehensive information on how to publish data in RESOLVdata can be found in the following data publication: Schumann, Lars Erik; Zey, Bernd Thomas, 2024, "How do I publish my data in RESOLVdata?", https://doi.org/10.17877/RESOLV-2024-m18zx3sp, TUDOdata.
Further questions are detailed in the RESOLVdata FAQ.
When archiving research data, a distinction is made between the secure and usable storage of research data for a period of 10 years in accordance with the rules of good research practice (archiving) and long-term storage for periods of more than 25 years.
In RESOLVdata, unpublished research data is securely stored for a period of at least 10 years. Unauthorized access to the stored data is prevented by a rights management system.
Archiving and long-term archiving (for more than 25 years) pose particular challenges for your data. Archived data should be in an open, non-proprietary format if possible. If migration to an open format is not technically feasible, then the software used to create or open the data should also be archived. If necessary, the entire software environment can be archived (virtualization and containerization) to ensure the usability of the research data.
Individual support
The mission of the RESOLV RDM Task Force is to provide individual support to all RESOLV PhD students, Postdocs and other researchers on:
- Developing Data Management Plans
- Assigning Metadata
- Choice of Electronic Lab Notebooks
- Application of RESOLVdata and open repositories
- Guidance on storage and archiving
- Assigning your research data with a RESOLV-DOI
- Specific questions
Please contact us, we are happy to help!
Workshops and Events
The University Alliance Ruhr offers their members an intricate programme of RDM courses covering all areas of the data life cycle. RESOLV members are invited to participate in the RDM curriculum to further their knowledge in various RDM topics, from basic concepts to advanced programming applications. Courses are offered by the three member universities of UA Ruhr and can take place online or at one of the universities' campuses.