Quality Assessment for Research Data Management in Research Projects
DOI:
https://doi.org/10.52825/cordi.v1i.420Keywords:
maturity model, quality assessment, engineering research process, research data managementAbstract
In the context of research data management (RDM), researchers are confronted with a multitude of new tasks and responsibilities. The totality of all tasks to ensure the re-use of data, long-term archiving, and access to data through data management planning, further data documentation, and provinces of data collection and analysis are described as research data management [1]. Often, the process of RDM is represented with data life cycle models, which include the basic phases of planning, data collection, analysis, archiving, access, and reuse [2].
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Copyright (c) 2023 Max Leo Wawer, Johanna Wurst, Roland Lachmayer
This work is licensed under a Creative Commons Attribution 4.0 International License.
Accepted 2023-07-03
Published 2023-09-07
