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Challenges in accessing routinely collected data from multiple providers in the UK for primary studies: Managing the morass.

INTRODUCTION: Researchers are increasingly using routinely collected data in addition to, or instead of, other data collection methods. The UK government continues to invest in research centres to encourage use of these data, and trials and cohort studies utilise data linkage methods in the follow-u...

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Autores principales: Lugg-Widger, Fiona V, Angel, Lianna, Cannings-John, Rebecca, Hood, Kerenza, Hughes, Kathryn, Moody, Gwenllian, Robling, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Swansea University 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8142952/
https://www.ncbi.nlm.nih.gov/pubmed/34095522
http://dx.doi.org/10.23889/ijpds.v3i3.432
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author Lugg-Widger, Fiona V
Angel, Lianna
Cannings-John, Rebecca
Hood, Kerenza
Hughes, Kathryn
Moody, Gwenllian
Robling, Michael
author_facet Lugg-Widger, Fiona V
Angel, Lianna
Cannings-John, Rebecca
Hood, Kerenza
Hughes, Kathryn
Moody, Gwenllian
Robling, Michael
author_sort Lugg-Widger, Fiona V
collection PubMed
description INTRODUCTION: Researchers are increasingly using routinely collected data in addition to, or instead of, other data collection methods. The UK government continues to invest in research centres to encourage use of these data, and trials and cohort studies utilise data linkage methods in the follow-up of participants. This does not come without its limitations and challenges, such as data access delays. OBJECTIVE: This paper outlines the challenges faced by three projects utilising individual-level routinely-collected linked data for the longer-term follow-up of participants. METHODS: These studies are varied in design, study population and data providers. One researcher was common to the three studies and collated relevant study correspondence, formal documentary evidence such as data sharing agreements and, where relevant, meeting records to review. Key themes were identified and reviewed by other members of the research teams. Mitigating strategies were identified and discussed with a data provider representative and a broader group of researchers to finalise the recommendations presented. RESULTS: The challenges discussed are grouped into five themes: Data application process; Project timelines; Dependencies and considerations related to consent; Information Governance; Contractual. In presenting our results descriptively we summarise each case study, identify the main cross-cutting themes and consider the potential for mitigation of challenges. CONCLUSIONS: We make recommendations that identify responsibilities for both researchers and data providers for mitigating and managing data access challenges. A continued conversation within the research community and with data providers is needed to continue to enable researchers to access and utilise the wealth of routinely-collected data available. The suggestions made in this paper will help researchers be better prepared to deal with the challenges of applying for data from multiple data providers.
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spelling pubmed-81429522021-06-04 Challenges in accessing routinely collected data from multiple providers in the UK for primary studies: Managing the morass. Lugg-Widger, Fiona V Angel, Lianna Cannings-John, Rebecca Hood, Kerenza Hughes, Kathryn Moody, Gwenllian Robling, Michael Int J Popul Data Sci Population Data Science INTRODUCTION: Researchers are increasingly using routinely collected data in addition to, or instead of, other data collection methods. The UK government continues to invest in research centres to encourage use of these data, and trials and cohort studies utilise data linkage methods in the follow-up of participants. This does not come without its limitations and challenges, such as data access delays. OBJECTIVE: This paper outlines the challenges faced by three projects utilising individual-level routinely-collected linked data for the longer-term follow-up of participants. METHODS: These studies are varied in design, study population and data providers. One researcher was common to the three studies and collated relevant study correspondence, formal documentary evidence such as data sharing agreements and, where relevant, meeting records to review. Key themes were identified and reviewed by other members of the research teams. Mitigating strategies were identified and discussed with a data provider representative and a broader group of researchers to finalise the recommendations presented. RESULTS: The challenges discussed are grouped into five themes: Data application process; Project timelines; Dependencies and considerations related to consent; Information Governance; Contractual. In presenting our results descriptively we summarise each case study, identify the main cross-cutting themes and consider the potential for mitigation of challenges. CONCLUSIONS: We make recommendations that identify responsibilities for both researchers and data providers for mitigating and managing data access challenges. A continued conversation within the research community and with data providers is needed to continue to enable researchers to access and utilise the wealth of routinely-collected data available. The suggestions made in this paper will help researchers be better prepared to deal with the challenges of applying for data from multiple data providers. Swansea University 2018-09-21 /pmc/articles/PMC8142952/ /pubmed/34095522 http://dx.doi.org/10.23889/ijpds.v3i3.432 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
spellingShingle Population Data Science
Lugg-Widger, Fiona V
Angel, Lianna
Cannings-John, Rebecca
Hood, Kerenza
Hughes, Kathryn
Moody, Gwenllian
Robling, Michael
Challenges in accessing routinely collected data from multiple providers in the UK for primary studies: Managing the morass.
title Challenges in accessing routinely collected data from multiple providers in the UK for primary studies: Managing the morass.
title_full Challenges in accessing routinely collected data from multiple providers in the UK for primary studies: Managing the morass.
title_fullStr Challenges in accessing routinely collected data from multiple providers in the UK for primary studies: Managing the morass.
title_full_unstemmed Challenges in accessing routinely collected data from multiple providers in the UK for primary studies: Managing the morass.
title_short Challenges in accessing routinely collected data from multiple providers in the UK for primary studies: Managing the morass.
title_sort challenges in accessing routinely collected data from multiple providers in the uk for primary studies: managing the morass.
topic Population Data Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8142952/
https://www.ncbi.nlm.nih.gov/pubmed/34095522
http://dx.doi.org/10.23889/ijpds.v3i3.432
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