Published June 8, 2020
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Evidence for the importance of research software
- 1. Research Software Alliance
- 2. University of Illinois Urbana-Champaign
- 3. Science and Technology Facilities Council, UK Research and Innovation
Description
This blog analyses work evidencing the importance of research software to research outcomes, to enable the research software community to find useful evidence to share with key influencers. This analysis considers papers relating to meta-research, policy, community, education and training, research breakthroughs and specific software.
The Research Software Alliance (ReSA) Taskforce for the importance of research software was formed initially to bring together existing evidence showing the importance of research software in the research process. This kind of information is critical to achieving ReSA’s vision to have research software recognised and valued as a fundamental and vital component of research worldwide.
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References
- Barone, L., Williams, J., & Micklos, D. (2017). Unmet needs for analyzing biological big data: A survey of 704 NSF principal investigators. PLOS Computational Biology, 13(10), e1005755. https://doi.org/10/gcgdcc
- Bello, M., & Galindo-Rueda, F. (2020). Charting the digital transformation of science: Findings from the 2018 OECD International Survey of Scientific Authors (ISSA2) (2020/06; OECD Science, Technology and Industry Working Papers). OECD Publishing. https://doi.org/10.1787/c7bdaa03-en
- Brookhaven National Laboratory. (2018, August 1). Software framework designed to accelerate drug discovery wins IEEE International Scalable Computing Challenge. https://phys.org/news/2018-08-software-framework-drug-discovery-ieee.html
- Browning, S. R., Browning, B. L., Zhou, Y., Tucci, S., & Akey, J. M. (2018). Analysis of Human Sequence Data Reveals Two Pulses of Archaic Denisovan Admixture. Cell, 173(1), 53-61.e9. https://doi.org/10.1016/j.cell.2018.02.031
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- European Commission, Directorate-General for Research and Innovation, & PwC EU Services. (2018). Cost-benefit analysis for FAIR research data: Cost of not having FAIR research data. 10.2777/02999
- Gallagher, S. (2019, October 15). Researchers find bug in Python script may have affected hundreds of studies. Ars Technica. https://arstechnica.com/information-technology/2019/10/chemists-discover-cross-platform-python-scripts-not-so-cross-platform/
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