Details
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 101064 |
| Fachzeitschrift | Patterns |
| Jahrgang | 5 |
| Ausgabenummer | 11 |
| Frühes Online-Datum | 1 Okt. 2024 |
| Publikationsstatus | Veröffentlicht - 8 Nov. 2024 |
Abstract
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.
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in: Patterns, Jahrgang 5, Nr. 11, 101064, 08.11.2024.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - DataDesc
T2 - A framework for creating and sharing technical metadata for research software interfaces
AU - Kuckertz, Patrick
AU - Göpfert, Jan
AU - Karras, Oliver
AU - Neuroth, David
AU - Schönau, Julian
AU - Pueblas, Rodrigo
AU - Ferenz, Stephan
AU - Engel, Felix
AU - Pflugradt, Noah
AU - Weinand, Jann M.
AU - Nieße, Astrid
AU - Auer, Sören
AU - Stolten, Detlef
N1 - Publisher Copyright: © 2024 The Author(s)
PY - 2024/11/8
Y1 - 2024/11/8
N2 - 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.
AB - 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.
KW - FAIR
KW - interface description
KW - machine actionable
KW - metadata schema
KW - RDM
KW - research data management
KW - semantic software description
KW - software documentation
KW - software metadata
KW - software publication
KW - software reuse
UR - http://www.scopus.com/inward/record.url?scp=85207778250&partnerID=8YFLogxK
U2 - 10.1016/j.patter.2024.101064
DO - 10.1016/j.patter.2024.101064
M3 - Article
AN - SCOPUS:85207778250
VL - 5
JO - Patterns
JF - Patterns
IS - 11
M1 - 101064
ER -