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Research Data Management
from the planning to the after-use of research data
Research data management (RDM) encompasses all measures in the lifecycle of research data: from the planning, collection, storage, documentation, processing and analysis of data to their publication, archiving and subsequent use.
A responsible, transparent and structured handling of research data is not only part of good scientific practice but also enables a long-term after-use and reproducibility of scientific results.
In addition to organizing, documenting, and archiving research data, RDM should also contribute to the public provision and long-term re-use of data, which is why the topics of FAIR and Open Data are often mentioned in connection with RDM.
You have questions about RDM!
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Ms. Anja Hähle
Information
- Forschungsdaten.info
- is a German information platform on RDM which is mainly managed and further developed by the University of Constance, the KIT Karlsruhe and the University of Hohenheim.
- SaxFDM
- is an initiative of Saxon universities and research institutions for cooperation in the field of RDM.
- Post-use materials from the university library
- Presentation André Langer/Martin Gaedke (Lehrstuhl Verteilte und Selbstorganisierende Rechnersysteme, TU Chemnitz): Das Projekt TUCbib. Interdisziplinäres Forschungsdatenmanagement an der TU Chemnitz.
- Presentation Manuela Queitsch (Kontaktstelle Forschungsdaten/SLUB Dresden): Forschung managen heißt Daten managen.