DataDesc: A framework for creating and sharing technical metadata for research software interfaces
Kuckertz, Patrick and Göpfert, Jan and Karras, Oliver and Neuroth, David and Schönau, Julian and Pueblas, Rodrigo and Ferenz, Stephan and Engel, Felix and Pflugradt, Noah and Weinand, Jann M. and Nieße, Astrid and Auer, Sören and Stolten, Detlef
Patterns
The reuse of research software is central to research efficiency and academic exchange. The application of software enables researchers to reproduce, validate, and expand upon study findings. The analysis of open-source code aids in the comprehension, comparison, and integration of approaches. Often, however, no further use occurs because relevant software cannot be found or is incompatible with existing research processes. This results in repetitive software development, which impedes the advancement of individual researchers and entire research communities. In this article, the DataDesc (Data Description) framework is presented—an approach to describing data models of software interfaces with machine-actionable metadata. In addition to a specialized metadata schema, an exchange format and support tools for easy collection and the automated publishing of software documentation are introduced. This approach practically increases the FAIRness, i.e., findability, accessibility, interoperability, and reusability, of research software as well as effectively promotes its impact on research.
October / 2024
article
101064
ZLE
Zukunftslabor Digitalisierung Energie
NFDI4Energy
National Research Data Infrastructure for the Interdisciplinary Energy System Research
Zukunftslabor Digitalisierung Energie
NFDI4Energy
National Research Data Infrastructure for the Interdisciplinary Energy System Research
