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ZENODO
Dataset . 2014
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2014
License: CC BY
Data sources: Datacite
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Edinburgh DataShare
Dataset . 2015
License: CC BY
Edinburgh DataShare
Dataset . 2015
Data sources: Datacite
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Uk Research Software Survey 2014

Authors: Hettrick, Simon; Antonioletti, Mario; Carr, Les; Chue Hong, Neil; Crouch, Stephen; De Roure, David; Emsley, Iain; +12 Authors

Uk Research Software Survey 2014

Abstract

This spreadsheet contains the anonymised data collected as part of a survey of UK researchers in their use of research software. We asked people specifically about “research software” which we defined as: “Software that is used to generate, process or analyse results that you intend to appear in a publication (either in a journal, conference paper, monograph, book or thesis). Research software can be anything from a few lines of code written by yourself, to a professionally developed software package. Software that does not generate, process or analyse results - such as word processing software, or the use of a web search - does not count as ‘research software’ for the purposes of this survey.” We contacted 1,000 randomly selected researchers at each of 15 Russell Group universities. From the 15,000 invitations to complete the survey, we received 417 responses – a rate of 3% which is fairly normal for a blind survey. We used Google Forms to collect responses. The responses have good representation from across the disciplines, seniorities and genders. This is a statistically significant number of responses that can be used to represent the views of people in research-intensive universities in the UK. An overview of the data is available on the worksheet "Summary data". Responses to questions are ordered by unique respondent ID. Please read the "README" worksheet for additional information about the collection and processing of this data. This survey data is licensed under a Creative Commons by Attribution licence. Copyright resides with The University of Edinburgh on behalf of the Software Sustainability Institute. Please cite as: APA Hettrick. S. J., et al. (2014). UK Research Software Survey 2014 [Data set]. doi:10.5281/zenodo.14809 Chicago S.J. Hettrick et al, UK Research Software Survey 2014 (accessed December 4, 2014), 10.5281/zenodo.14809. MLA Hettrick S.J., et al. “UK Research Software Survey 2014” ZENODO, 2014. Web. 4 December 2014. .

{"references": ["Hettrick, S. It's impossible to conduct research without software, say 7 out of 10 UK researchers (accessed December 4, 2014). http://www.software.ac.uk/blog/2014-12-04-its-impossible-conduct-research-without-software-say-7-out-10-uk-researchers"]}

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Keywords

Mathematical and Computer Sciences::Software Engineering not elsewhere classified, training, software, software development, software survey, research software, 303, survey, scientific software, software usage, software engineering

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visibility
download
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
16
Top 10%
Top 10%
Average
216
44