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UK Research Software Survey 2014

UK Research Software Survey 2014
UK Research Software Survey 2014
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. .
Zenodo
De Roure, David
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Jackson, Mike
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Nenadic, Aleksandra
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Sufi, Shoaib
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Emsley, Iain
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Peru, Giacomo
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Robinson, John
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Pawlik, Aleksandra
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Crouch, Stephen
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Hay, Alexander
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Carr, Les
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Inupakutika, Devasena
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Antonioletti, Mario
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Parsons, Mark I
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Chue Hong, Neil
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Hettrick, Simon
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Proeme, Arno
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Parkinson, Tim
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Goble, Carole
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De Roure, David
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Jackson, Mike
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Nenadic, Aleksandra
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Sufi, Shoaib
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Emsley, Iain
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Peru, Giacomo
234c643f-d112-423a-8e56-5c57010cae4c
Robinson, John
44327568-9728-46ec-89d4-f9fde6a88c63
Pawlik, Aleksandra
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Crouch, Stephen
a136ad57-82ec-4664-8d8e-79a605808e6d
Hay, Alexander
ff494524-3d12-4389-ad51-3fa88c56437b
Carr, Les
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Inupakutika, Devasena
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Antonioletti, Mario
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Parsons, Mark I
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Chue Hong, Neil
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Hettrick, Simon
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Proeme, Arno
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Parkinson, Tim
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Goble, Carole
8c248c0f-f19e-4dda-838b-77a89c5d3d38

(2014) UK Research Software Survey 2014. Zenodo doi:10.5281/zenodo.14809 [Dataset]

Record type: Dataset

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. .

This record has no associated files available for download.

More information

Published date: 4 December 2014

Identifiers

Local EPrints ID: 475473
URI: http://eprints.soton.ac.uk/id/eprint/475473
PURE UUID: fbab9e30-71be-42bb-a250-30aed1fe0c6e
ORCID for David De Roure: ORCID iD orcid.org/0000-0001-9074-3016
ORCID for Stephen Crouch: ORCID iD orcid.org/0000-0001-8985-6814

Catalogue record

Date deposited: 20 Mar 2023 17:40
Last modified: 06 May 2023 01:38

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Contributors

Contributor: David De Roure ORCID iD
Contributor: Mike Jackson
Contributor: Aleksandra Nenadic
Contributor: Shoaib Sufi
Contributor: Iain Emsley
Contributor: Giacomo Peru
Contributor: John Robinson
Contributor: Aleksandra Pawlik
Contributor: Stephen Crouch ORCID iD
Contributor: Alexander Hay
Contributor: Les Carr
Contributor: Devasena Inupakutika
Contributor: Mario Antonioletti
Contributor: Mark I Parsons
Contributor: Neil Chue Hong
Contributor: Simon Hettrick
Contributor: Arno Proeme
Contributor: Tim Parkinson
Contributor: Carole Goble

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