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GUILD: GUidance for Information about Linking Data sets†.

Gilbert, R; Lafferty, R; Hagger-Johnson, G; Harron, K; Zhang, L-C; Smith, P; Dibben, C; (2017) GUILD: GUidance for Information about Linking Data sets†. J Public Health (Oxf) , 2017 10.1093/pubmed/fdx037. (In press). Green open access

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Abstract

Record linkage of administrative and survey data is increasingly used to generate evidence to inform policy and services. Although a powerful and efficient way of generating new information from existing data sets, errors related to data processing before, during and after linkage can bias results. However, researchers and users of linked data rarely have access to information that can be used to assess these biases or take them into account in analyses. As linked administrative data are increasingly used to provide evidence to guide policy and services, linkage error, which disproportionately affects disadvantaged groups, can undermine evidence for public health. We convened a group of researchers and experts from government data providers to develop guidance about the information that needs to be made available about the data linkage process, by data providers, data linkers, analysts and the researchers who write reports. The guidance goes beyond recommendations for information to be included in research reports. Our aim is to raise awareness of information that may be required at each step of the linkage pathway to improve the transparency, reproducibility, and accuracy of linkage processes, and the validity of analyses and interpretation of results.

Type: Article
Title: GUILD: GUidance for Information about Linking Data sets†.
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1093/pubmed/fdx037
Publisher version: https://doi.org/10.1093/pubmed/fdx037
Language: English
Additional information: © The Author 2017. Published by Oxford University Press on behalf of Faculty of Public Health. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: Epidemiology, health services, management and policy
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Population, Policy and Practice Dept
URI: https://discovery.ucl.ac.uk/id/eprint/1550862
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