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Developing a topic-based repository of clinical trial individual patient data: experiences and lessons learned from a pilot project

BACKGROUND: Building a dataset of individual participant data (IPD) for meta-analysis represents considerable research investment as well as collaboration across multiple institutions and researchers. Making arrangements to curate and share the dataset beyond the IPD meta-analysis project for which...

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Autores principales: Medley, Nancy, Cuthbert, Anna, Crew, Richard, Stewart, Lesley, Smith, Catrin Tudur, Alfirevic, Zarko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8167976/
https://www.ncbi.nlm.nih.gov/pubmed/34059123
http://dx.doi.org/10.1186/s13643-021-01717-2
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author Medley, Nancy
Cuthbert, Anna
Crew, Richard
Stewart, Lesley
Smith, Catrin Tudur
Alfirevic, Zarko
author_facet Medley, Nancy
Cuthbert, Anna
Crew, Richard
Stewart, Lesley
Smith, Catrin Tudur
Alfirevic, Zarko
author_sort Medley, Nancy
collection PubMed
description BACKGROUND: Building a dataset of individual participant data (IPD) for meta-analysis represents considerable research investment as well as collaboration across multiple institutions and researchers. Making arrangements to curate and share the dataset beyond the IPD meta-analysis project for which it was established, for reuse in future research projects, would maximise the value of this investment. METHODS: Our aim was to establish the Cochrane repository for individual patient data from clinical trials in pregnancy and childbirth (CRIB) as an example of how an IPD repository could become part of Cochrane infrastructure. We believed that establishing CRIB under Cochrane auspices would engender trust and encourage trial investigators to share data, and at the same time position Cochrane to take steps towards expanding the number of reviews with IPD synthesis. RESULTS: CRIB was designed as a web-based platform to receive, host and facilitate onward sharing of de-identified data. Development was not straightforward and we did not fully achieve our aim as intended. We describe the challenges encountered and suggest ways that future repositories might overcome these. In particular, securing the legal agreements required to facilitate data sharing proved to be the main barrier, being time-consuming and more complex than anticipated. CONCLUSIONS: We would recommend that researchers conducting IPD meta-analysis should consider discussing the option to transfer the curated IPD datasets to a repository at the end of the initial meta-analysis and this should be recognised within the data sharing agreements made with the original data contributors.
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spelling pubmed-81679762021-06-02 Developing a topic-based repository of clinical trial individual patient data: experiences and lessons learned from a pilot project Medley, Nancy Cuthbert, Anna Crew, Richard Stewart, Lesley Smith, Catrin Tudur Alfirevic, Zarko Syst Rev Commentary BACKGROUND: Building a dataset of individual participant data (IPD) for meta-analysis represents considerable research investment as well as collaboration across multiple institutions and researchers. Making arrangements to curate and share the dataset beyond the IPD meta-analysis project for which it was established, for reuse in future research projects, would maximise the value of this investment. METHODS: Our aim was to establish the Cochrane repository for individual patient data from clinical trials in pregnancy and childbirth (CRIB) as an example of how an IPD repository could become part of Cochrane infrastructure. We believed that establishing CRIB under Cochrane auspices would engender trust and encourage trial investigators to share data, and at the same time position Cochrane to take steps towards expanding the number of reviews with IPD synthesis. RESULTS: CRIB was designed as a web-based platform to receive, host and facilitate onward sharing of de-identified data. Development was not straightforward and we did not fully achieve our aim as intended. We describe the challenges encountered and suggest ways that future repositories might overcome these. In particular, securing the legal agreements required to facilitate data sharing proved to be the main barrier, being time-consuming and more complex than anticipated. CONCLUSIONS: We would recommend that researchers conducting IPD meta-analysis should consider discussing the option to transfer the curated IPD datasets to a repository at the end of the initial meta-analysis and this should be recognised within the data sharing agreements made with the original data contributors. BioMed Central 2021-06-01 /pmc/articles/PMC8167976/ /pubmed/34059123 http://dx.doi.org/10.1186/s13643-021-01717-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Commentary
Medley, Nancy
Cuthbert, Anna
Crew, Richard
Stewart, Lesley
Smith, Catrin Tudur
Alfirevic, Zarko
Developing a topic-based repository of clinical trial individual patient data: experiences and lessons learned from a pilot project
title Developing a topic-based repository of clinical trial individual patient data: experiences and lessons learned from a pilot project
title_full Developing a topic-based repository of clinical trial individual patient data: experiences and lessons learned from a pilot project
title_fullStr Developing a topic-based repository of clinical trial individual patient data: experiences and lessons learned from a pilot project
title_full_unstemmed Developing a topic-based repository of clinical trial individual patient data: experiences and lessons learned from a pilot project
title_short Developing a topic-based repository of clinical trial individual patient data: experiences and lessons learned from a pilot project
title_sort developing a topic-based repository of clinical trial individual patient data: experiences and lessons learned from a pilot project
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8167976/
https://www.ncbi.nlm.nih.gov/pubmed/34059123
http://dx.doi.org/10.1186/s13643-021-01717-2
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