Activities
On this page you will find the networking and coordination activities as well as current projects of the Thuringian Competence Network for Research Data Management. This includes networking with regional service facilities and the coordination of activities within the framework of the national research data infrastructure. You will also find information on projects such as ReproHacks, Data Horror Week and 5S Data Week here.
If you miss any information, please feel free to contact us at any time!
If you would like to stay up to date on all our activities, please also consider subscribing to our mailing list:
https://lserv.uni-jena.de/mailman/listinfo/rdm-thueringen
The 5S Data steps of Sort, Set in Order, Shine, Standardize, and Sustain indicate how you should organize the data in your research facility.
By participating in this pilot program, you can be supported by a data steward in handling research data.
Electronic lab notebooks are software applications that enable research data from experiments to be recorded and managed electronically.
Make your published dataset FAIR using the FAIR principles. Identify a dataset's strengths and uncover potential gaps in its FAIRness.
The FAIRest Dataset Award is a competition in which prizes are awarded to submitted datasets that best meet the FAIR principles (Findable, Accessible, Interoperable and Reusable).
In the FDM-HAWK network, the Thuringian universities of applied sciences (HAW) are establishing FDM structures.
The National Research Data Infrastructure (NFDI) has the task of indexing, securing, making accessible and networking research data.
The TKFDM coordinates and bundles activities in the field of research data management, such as the development and expansion of research-supporting infrastructures.
An annual series of events in which universities in Thuringia offer lectures and workshops on the topic of research data management.
REFODAT is the repository for research data in Thuringia where researchers from Thuringia can publish their data sets.
During a ReproHack, participants attempt to reproduce published research results with publicly available code and data.
In scary stories with titles, introductions and pictures, you can guess what mistakes were made in data management.