Datenkompass M-V: Competence Network for Research Data in Mecklenburg-Vorpommern

Source: Tina Kossow | tinako | kreativ-digitalisiert.de

The Datenkompass M-V (DKMV) supports the interdisciplinary acquisition of application-oriented competencies in the fields of research data management and data science.

The Datenkompass Mecklenburg-Vorpommern (DKMV) project aims to establish a data competency network in M-V. The goal is to consolidate the strengths of scientific institutions to facilitate access for researchers and research-oriented businesses in the field of data sciences. DKMV supports the interdisciplinary acquisition of application-oriented skills in research data management and data science at all levels of the scientific career. The network covers the entire data lifecycle and extends across locations in M-V.

Teaching and learning materials, software tools, and guidelines are provided through a central platform. The target audience includes scientific and technical staff, scholarship recipients, as well as research-oriented businesses in M-V. One of DKMV's strengths lies in the breadth of data science methods, including machine learning, statistical methods, signal processing, modeling complex systems, research data management, and data annotation. The use of Open and FAIR Data concepts makes the developed offerings accessible to other interested parties.

The Data Compass M-V connects the competencies of individual universities and research institutions to provide high-quality services. The platform enables a systematic and sustainable development of data competency in MV. DKMV benefits from collaboration with various higher education institutions in M-V:

  • Universität Greifswald (UG)
  • Universitätsmedizin Greifswald (UMG)
  • Universität Rostock (UR)
  • Hochschule Stralsund (HOST)
  • Hochschule Neubrandenburg (HS NB)
  • Hochschule Wismar (HSW)

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