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To better understand research software user and developer communities, the PI team of the Conceptualization of the US Research Software Sustainability Institute (URSSI) conducted a survey of research software users and developers. The focus of the survey was to gather information to help identify how to increase the sustainability of research software. To gather a broad range of perspectives, the survey was distributed to 25,000 NSF and 25,000 NIH PIs whose projects involve research software, as well as mailing lists of interested people such as the WSSSPE email list. In addition, the PI team used snowballing by asking people to forward the survey to others who might be interested. This effort is part of the URSSI conceptualization project, which seeks to understand the diverse challenges and barriers that the research software community faces. The survey received 1194 complete or partial responses to the survey. This dataset is the raw data set of the survey responses exported from Qualtrics and anonymized.
URSSI, software sustainability, research software, research software engineers
URSSI, software sustainability, research software, research software engineers
| 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 |
| views | 5 | |
| downloads | 2 |

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