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User centred methods for measuring the value of open data

User centred methods for measuring the value of open data
User centred methods for measuring the value of open data
A project to identify metrics for assessing the quality of open data based on the needs of small voluntary sector organisations in the UK and India. For the purposes of the project we assumed the purpose of open data metrics is to determine the value of a group of open datasets to a defined community of users. We adopted a much more user-centred approach than most open data research using small structured workshops to identify users’ key problems and then working from those problems to understand how open data can help address them and the key attributes of the data if it is to be successful. We then piloted different metrics that might be used to measure the presence of those attributes. The result was six metrics that we assessed for validity, reliability, discrimination, transferability and comparability. This user-centred approach to open data research highlighted some fundamental issues with expanding the use of open data from its enthusiast base.
Walker, Johanna
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Frank, Mark
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Thompson, Nisha
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Walker, Johanna
0cdeee69-2029-43fa-927c-a7c4afc91a9d
Frank, Mark
1af3e773-1569-402b-ae5f-b48d996c8d30
Thompson, Nisha
413c6f56-3b43-49cd-a8aa-d1fba61a059c

Walker, Johanna, Frank, Mark and Thompson, Nisha (2015) User centred methods for measuring the value of open data. Open Data Research Symposium 2015, Ottawa, Canada. 27 May 2015. 31 pp .

Record type: Conference or Workshop Item (Paper)

Abstract

A project to identify metrics for assessing the quality of open data based on the needs of small voluntary sector organisations in the UK and India. For the purposes of the project we assumed the purpose of open data metrics is to determine the value of a group of open datasets to a defined community of users. We adopted a much more user-centred approach than most open data research using small structured workshops to identify users’ key problems and then working from those problems to understand how open data can help address them and the key attributes of the data if it is to be successful. We then piloted different metrics that might be used to measure the presence of those attributes. The result was six metrics that we assessed for validity, reliability, discrimination, transferability and comparability. This user-centred approach to open data research highlighted some fundamental issues with expanding the use of open data from its enthusiast base.

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user centred metrics final.pdf - Author's Original
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More information

Accepted/In Press date: 30 March 2015
Published date: 27 May 2015
Venue - Dates: Open Data Research Symposium 2015, Ottawa, Canada, 2015-05-27 - 2015-05-27
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 375700
URI: http://eprints.soton.ac.uk/id/eprint/375700
PURE UUID: b32c9013-85fe-439c-858b-1b59b274fa44
ORCID for Mark Frank: ORCID iD orcid.org/0000-0002-6106-5057

Catalogue record

Date deposited: 09 Jul 2015 15:23
Last modified: 21 Mar 2019 17:31

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Contributors

Author: Johanna Walker
Author: Mark Frank ORCID iD
Author: Nisha Thompson

University divisions

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