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Good data management is a pillar of innovative digital research. As a data centre, we take into account the requirements of digital scientific research data management. Our services and offers support you in designing your data management. Simply research sustainably, transparently and FAIR.
The life cycle of research data contains various areas that fall within the scope of activities of data centres. These include documentation, analysis, publication and archiving. Our own research in this area complements our existing service offerings. The results flow into our teaching activities, as it were.
The documentation of research data encompasses many facets. Data such as measurement series, analyses, surveys with the associated metadata, as well as instruments, software, scripts, etc. are systematically documented. In addition, rights and role management (who is allowed to do what?) plays a central role in cooperative and interdisciplinary research.
In the field of analysis, we research and work on interfaces between different infrastructures and applications to make the data flow as simple and secure as possible for you - whether experiment, simulation or texts. Our research interest lies in the further development of the feasibility and improvement of the applications.
The publication of research results of any kind - classic publications, underlying data and software - is the foundation of new knowledge. We get involved in research when it comes to questions of implementing best practices as standards in our services. Data descriptions (metadata), unique, one-time as well as permanent IDs for texts, data, devices and software beyond specific applications increase the visibility of research results.
After the completion of a research project comes the step of archiving the associated data and results. Data is no longer used on a daily basis, but must be stored for later use in accordance with the specifications of both your own and the funding organisation. Our long-term archiving infrastructure can support you in this. Use repositories and archives, maintain metadata and assign unique IDs and licences.
You can also use our research data management services via the Göttingen eResearch Alliance.