DataDesc

A framework for creating and sharing technical metadata for research software interfaces

verfasst von

Patrick Kuckertz, Jan Göpfert, Oliver Karras, David Neuroth, Julian Schönau, Rodrigo Pueblas, Stephan Ferenz, Felix Engel, Noah Pflugradt, Jann M. Weinand, Astrid Nieße, Sören Auer, Detlef Stolten

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.

Organisationseinheit(en)

Forschungszentrum L3S

Externe Organisation(en)

Forschungszentrum Jülich
Rheinisch-Westfälische Technische Hochschule Aachen (RWTH)
Technische Informationsbibliothek (TIB) Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
Carl von Ossietzky Universität Oldenburg

Typ

Artikel

Journal

Patterns

Band

5

Publikationsdatum

08.11.2024

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Allgemeine Entscheidungswissenschaften

Ziele für nachhaltige Entwicklung

SDG 3 – Gute Gesundheit und Wohlergehen

Elektronische Version(en)

https://doi.org/10.1016/j.patter.2024.101064 (Zugang: Offen)