ReSA outputs can provide useful references to support recognition and valuing of research software as a key component of research. Recent items include
- Software landscape analysis blog posted by URSSI, SSI and Netherlands eScience Center in March 2020.
- ReSA Reponse to US RFI: Public Access to Peer-Reviewed Scholarly Publications, Data and Code Resulting From Federally Funded Research
- RDA COVID-19 Guidelines and Recommendations contains a software chapter coordinated by ReSA that provides guidelines to policy makers, funders, publishers, and the research community responding to COVID-19.
The ReSA task force on evidence for the importance of research software is collecting evidence about the importance of software in research. An analysis of these resources is available in this blog to provide information for sharing with key influencers.
The significant role that software plays in research has been identified in a range of surveys and studies that include the following:
- Charting the digital transformation of science: Findings from the 2018 OECD International Survey of Scientific Authors (ISSA2) includes evidence that 25% of research produces new code.
- The Ecosystem of Technologies for Social Science Research tracks increase in the use of software tools, along with characteristics of key tools. It is noted that whilst many commercial tools are available, the more innovative ones are coming out of academia.
- The top 100 papers analyses the top 100 Nature papers and finds that the vast majority describe experimental methods or software that have become essential in their fields.
- UK Research Software Survey considers responses of 1,000 randomly chosen researchers to show that more than 90% of researchers acknowledged software as being important for their own research, and about 70% of researchers said that their research would not be possible without software.
- Understanding Software in Research: Initial Results from Examining Nature and a Call for Collaboration reveals that “32 of the 40 papers examined mention software, and the 32 papers contain 211 mentions of distinct software, for an average of 6.5 mentions per paper.”
Do you have resources to add?