Research data management - RDM

Research Data Management (RDM) refers to a set of measures and procedures for handling research data throughout its entire lifecycle, from generation, storage, licensing, archiving, and reuse. According to the GO FAIR initiative, research data should be 'FAIR': Findable, Accessible, Interoperable, Reusable.

RDM is an important element of the digitization strategy at both national and European levels and is a programmatic component in creating a digital European ecosystem.

The most important tool for implementing RDM in practice is the Data Management Plan (DMP). It has become an essential part of many project proposals. The university aims to support researchers in the field of RDM with guidelines and information. To promote RDM at the Universities of Applied Sciences (HAW) in Thuringia, the FDM-HAWK competence cluster was established. This initiative is funded by the German Federal Ministry of Education and Research (BMBF) and financed by the EU. It consolidates the RDM capacities of the HAWs in Jena, Nordhausen, Erfurt, and Schmalkalden.

In line with good scientific practice, Schmalkalden University has issued guidelines for handling research data and published the statutes on safeguarding good scientific practice in Announcement No. 5 of 2021.

Link to the project page:

FDM-HAWK: DIE FDM-INITIATIVE DER THÜRINGER HOCHSCHULEN FÜR ANGEWANDTE WISSENSCHAFTEN