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Scaling up research on family justice using large-scale administrative data: an invitation to the socio-legal community

Karen Broadhurst, Linda Cusworth, Judith Harwin, Bachar Alrouh, Stuart Bedston, Liz Trinder, Kerina Jones Orcid Logo, David Ford Orcid Logo, Lucy Griffiths Orcid Logo

Journal of Social Welfare and Family Law, Volume: 43, Issue: 3, Pages: 237 - 255

Swansea University Authors: Kerina Jones Orcid Logo, David Ford Orcid Logo, Lucy Griffiths Orcid Logo

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DOI (Published version): 10.1080/09649069.2021.1953856

Abstract

This article outlines the value of administrative data for family justice research. Although socio-legal scholars have extended their research beyond purely theoretical or doctrinal analyses, studies using large-scale digital datasets remain few in number. As new opportunities arise to link large-sc...

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Published in: Journal of Social Welfare and Family Law
ISSN: 0964-9069 1469-9621
Published: Informa UK Limited 2021
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URI: https://cronfa.swan.ac.uk/Record/cronfa58142
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Although socio-legal scholars have extended their research beyond purely theoretical or doctrinal analyses, studies using large-scale digital datasets remain few in number. As new opportunities arise to link large-scale administrative datasets across health, education, welfare and justice, it is vital that the community of family justice researchers and analysts are supported to deliver research based on entire service or family court populations. In this context, this article provides a definition of administrative data, before outlining the potential of single, linked or blended administrative data sets for family justice research. The remaining sections of the article speak to questions that are pertinent to this particular academic community, including the distinctive contribution of the socio-legal scholar to interdisciplinary teams and the place of data providers in collaborative research. 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spelling 2022-08-17T12:45:49.9626536 v2 58142 2021-09-29 Scaling up research on family justice using large-scale administrative data: an invitation to the socio-legal community c13b3cd0a6f8cbac2e461b54b3cdd839 0000-0001-8164-3718 Kerina Jones Kerina Jones true false 52fc0c473b0da1b7218d87f9fc68a3e6 0000-0001-6551-721X David Ford David Ford true false e35ea6ea4b429e812ef204b048131d93 0000-0001-9230-624X Lucy Griffiths Lucy Griffiths true false 2021-09-29 HDAT This article outlines the value of administrative data for family justice research. Although socio-legal scholars have extended their research beyond purely theoretical or doctrinal analyses, studies using large-scale digital datasets remain few in number. As new opportunities arise to link large-scale administrative datasets across health, education, welfare and justice, it is vital that the community of family justice researchers and analysts are supported to deliver research based on entire service or family court populations. In this context, this article provides a definition of administrative data, before outlining the potential of single, linked or blended administrative data sets for family justice research. The remaining sections of the article speak to questions that are pertinent to this particular academic community, including the distinctive contribution of the socio-legal scholar to interdisciplinary teams and the place of data providers in collaborative research. Drawing on the sociological concept of ‘publics’, the final section considers the multiple interest groups whose social licence must be secured, when personal records are used to understand the relationship between law and family life. Journal Article Journal of Social Welfare and Family Law 43 3 237 255 Informa UK Limited 0964-9069 1469-9621 Administrative data; justice; socio-legal; theory; digital records 30 7 2021 2021-07-30 10.1080/09649069.2021.1953856 COLLEGE NANME Health Data Science COLLEGE CODE HDAT Swansea University Nuffield Foundation: grant number FJO/43,766 2022-08-17T12:45:49.9626536 2021-09-29T12:06:32.7296835 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Karen Broadhurst 1 Linda Cusworth 2 Judith Harwin 3 Bachar Alrouh 4 Stuart Bedston 5 Liz Trinder 6 Kerina Jones 0000-0001-8164-3718 7 David Ford 0000-0001-6551-721X 8 Lucy Griffiths 0000-0001-9230-624X 9 58142__21289__50d73b04f73844bdad6863bf6e45d527.pdf 58142.pdf 2021-10-25T14:32:50.5383570 Output 785390 application/pdf Version of Record true © 2021 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License true eng http://creativecommons.org/licenses/by-nc-nd/4.0/
title Scaling up research on family justice using large-scale administrative data: an invitation to the socio-legal community
spellingShingle Scaling up research on family justice using large-scale administrative data: an invitation to the socio-legal community
Kerina Jones
David Ford
Lucy Griffiths
title_short Scaling up research on family justice using large-scale administrative data: an invitation to the socio-legal community
title_full Scaling up research on family justice using large-scale administrative data: an invitation to the socio-legal community
title_fullStr Scaling up research on family justice using large-scale administrative data: an invitation to the socio-legal community
title_full_unstemmed Scaling up research on family justice using large-scale administrative data: an invitation to the socio-legal community
title_sort Scaling up research on family justice using large-scale administrative data: an invitation to the socio-legal community
author_id_str_mv c13b3cd0a6f8cbac2e461b54b3cdd839
52fc0c473b0da1b7218d87f9fc68a3e6
e35ea6ea4b429e812ef204b048131d93
author_id_fullname_str_mv c13b3cd0a6f8cbac2e461b54b3cdd839_***_Kerina Jones
52fc0c473b0da1b7218d87f9fc68a3e6_***_David Ford
e35ea6ea4b429e812ef204b048131d93_***_Lucy Griffiths
author Kerina Jones
David Ford
Lucy Griffiths
author2 Karen Broadhurst
Linda Cusworth
Judith Harwin
Bachar Alrouh
Stuart Bedston
Liz Trinder
Kerina Jones
David Ford
Lucy Griffiths
format Journal article
container_title Journal of Social Welfare and Family Law
container_volume 43
container_issue 3
container_start_page 237
publishDate 2021
institution Swansea University
issn 0964-9069
1469-9621
doi_str_mv 10.1080/09649069.2021.1953856
publisher Informa UK Limited
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine
document_store_str 1
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description This article outlines the value of administrative data for family justice research. Although socio-legal scholars have extended their research beyond purely theoretical or doctrinal analyses, studies using large-scale digital datasets remain few in number. As new opportunities arise to link large-scale administrative datasets across health, education, welfare and justice, it is vital that the community of family justice researchers and analysts are supported to deliver research based on entire service or family court populations. In this context, this article provides a definition of administrative data, before outlining the potential of single, linked or blended administrative data sets for family justice research. The remaining sections of the article speak to questions that are pertinent to this particular academic community, including the distinctive contribution of the socio-legal scholar to interdisciplinary teams and the place of data providers in collaborative research. Drawing on the sociological concept of ‘publics’, the final section considers the multiple interest groups whose social licence must be secured, when personal records are used to understand the relationship between law and family life.
published_date 2021-07-30T04:14:26Z
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score 11.03559

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