
Das Dokument skizziert leitende Prinzipien und Orientierungshilfen für den Umgang mit Forschungssoftware im Förderhandeln der DFG. Forschungssoftware, definiert als Software, die während des Forschungsprozesses oder für einen Forschungszweck erstellt wurde, sollte Best Practices in Bezug auf Entwicklung, Zugänglichkeit, Zitierbarkeit und Nachhaltigkeit folgen. Das Dokument enthält zudem Hinweise für Antragsteller*innen zum Software- und Community-Management. Das Papier befasst sich auch mit Begutachtungskriterien für softwarebezogene Projektanträge und ruft wissenschaftliche Institutionen auf, eine bessere Infrastruktur und Unterstützung für die Entwicklung von Forschungssoftware zu schaffen. The document outlines key principles and guidelines for handling research software in the DFG’s funding activities. Research software, defined as software created during the research process or for a research purpose, should follow best practices in development, accessibility, citability and sustainability. Additionally, the document provides guidance for applicants on software management and community building. The paper also addresses review criteria for software-related project proposals and calls on research institutions to establish better infrastructure and support for research software development.
This publication is available in German and English.
FAIR4RS, software sustainability, German Research Foundation, Softwarenachhaltigkeit, wissenschaftliche Softwareentwicklung, research software, DFG, Forschungssoftware, research software engineering, RSE, Deutsche Forschungsgemeinschaft
FAIR4RS, software sustainability, German Research Foundation, Softwarenachhaltigkeit, wissenschaftliche Softwareentwicklung, research software, DFG, Forschungssoftware, research software engineering, RSE, Deutsche Forschungsgemeinschaft
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
