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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.14809Chicago 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. .
software development, scientific software, software, research software, software usage, software engineering, software survey, training, survey
Zenodo
Hettrick, Simon
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Antonioletti, Mario
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Carr, Leslie
0572b10e-039d-46c6-bf05-57cce71d3936
Chue Hong, Neil
e71b880a-b3b5-477b-af96-5fdde0e4db98
Crouch, Stephen
a136ad57-82ec-4664-8d8e-79a605808e6d
De Roure, David
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Emsley, Iain
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Goble, Carole
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Hay, Alexander
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Inupakutika, Devasena
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Jackson, Mike
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Nenadic, Aleksandra
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Parkinson, Tim
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Parsons, Mark I
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Pawlik, Aleksandra
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Peru, Giacomo
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Proeme, Arno
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Robinson, John
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Sufi, Shoaib
9efaa1dc-4dbd-400e-b107-5278c19c826d
Hettrick, Simon
9eef9cf0-86e8-4562-bead-684915a1de5c
Antonioletti, Mario
0444d546-55ba-4131-95c5-e1eb00262f77
Carr, Leslie
0572b10e-039d-46c6-bf05-57cce71d3936
Chue Hong, Neil
e71b880a-b3b5-477b-af96-5fdde0e4db98
Crouch, Stephen
a136ad57-82ec-4664-8d8e-79a605808e6d
De Roure, David
3be0a108-dfde-48c0-bc64-a6dddcf791c7
Emsley, Iain
a20a83f5-d7a7-44d5-a7f8-ef692b78a5a6
Goble, Carole
8c248c0f-f19e-4dda-838b-77a89c5d3d38
Hay, Alexander
ff494524-3d12-4389-ad51-3fa88c56437b
Inupakutika, Devasena
59a0d2f0-7b9c-445e-92bd-bb119b76077c
Jackson, Mike
fad789c4-2c6a-416c-8680-59af79a0a3b3
Nenadic, Aleksandra
8e8ea83c-049b-4388-be47-6d1d5b5ae3a4
Parkinson, Tim
c29eba2e-2ea0-469c-81aa-dc1172375a77
Parsons, Mark I
8d9c69d2-95ce-4c17-ab13-c120d2fa3559
Pawlik, Aleksandra
05e09de8-eea2-4eb5-a63d-c63d8dffd66c
Peru, Giacomo
234c643f-d112-423a-8e56-5c57010cae4c
Proeme, Arno
101d32f2-7a36-48f8-8920-de6f2953209c
Robinson, John
44327568-9728-46ec-89d4-f9fde6a88c63
Sufi, Shoaib
9efaa1dc-4dbd-400e-b107-5278c19c826d

Hettrick, Simon, Antonioletti, Mario, Carr, Leslie, Chue Hong, Neil, Crouch, Stephen, De Roure, David, Emsley, Iain, Goble, Carole, Hay, Alexander, Inupakutika, Devasena, Jackson, Mike, Nenadic, Aleksandra, Parkinson, Tim, Parsons, Mark I, Pawlik, Aleksandra, Peru, Giacomo, Proeme, Arno, Robinson, John and Sufi, Shoaib (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.14809Chicago 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. .

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More information

Published date: 2014
Keywords: software development, scientific software, software, research software, software usage, software engineering, software survey, training, survey

Identifiers

Local EPrints ID: 434565
URI: https://eprints.soton.ac.uk/id/eprint/434565
PURE UUID: 9959d67f-a343-4286-bbfa-17e99c3686ca
ORCID for Leslie Carr: ORCID iD orcid.org/0000-0002-2113-9680
ORCID for Stephen Crouch: ORCID iD orcid.org/0000-0001-8985-6814

Catalogue record

Date deposited: 01 Oct 2019 16:31
Last modified: 02 Oct 2019 00:39

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