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Is useful research data usually shared? An investigation of genome-wide association study summary statistics
Primary data collected during a research study is often shared and may be reused for new studies. To assess the extent of data sharing in favourable circumstances and whether data sharing checks can be automated, this article investigates summary statistics from primary human genome-wide association...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7034915/ https://www.ncbi.nlm.nih.gov/pubmed/32084240 http://dx.doi.org/10.1371/journal.pone.0229578 |
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author | Thelwall, Mike Munafò, Marcus Mas-Bleda, Amalia Stuart, Emma Makita, Meiko Weigert, Verena Keene, Chris Khan, Nushrat Drax, Katie Kousha, Kayvan |
author_facet | Thelwall, Mike Munafò, Marcus Mas-Bleda, Amalia Stuart, Emma Makita, Meiko Weigert, Verena Keene, Chris Khan, Nushrat Drax, Katie Kousha, Kayvan |
author_sort | Thelwall, Mike |
collection | PubMed |
description | Primary data collected during a research study is often shared and may be reused for new studies. To assess the extent of data sharing in favourable circumstances and whether data sharing checks can be automated, this article investigates summary statistics from primary human genome-wide association studies (GWAS). This type of data is highly suitable for sharing because it is a standard research output, is straightforward to use in future studies (e.g., for secondary analysis), and may be already stored in a standard format for internal sharing within multi-site research projects. Manual checks of 1799 articles from 2010 and 2017 matching a simple PubMed query for molecular epidemiology GWAS were used to identify 314 primary human GWAS papers. Of these, only 13% reported the location of a complete set of GWAS summary data, increasing from 3% in 2010 to 23% in 2017. Whilst information about whether data was shared was typically located clearly within a data availability statement, the exact nature of the shared data was usually unspecified. Thus, data sharing is the exception even in suitable research fields with relatively strong data sharing norms. Moreover, the lack of clear data descriptions within data sharing statements greatly complicates the task of automatically characterising shared data sets. |
format | Online Article Text |
id | pubmed-7034915 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-70349152020-02-27 Is useful research data usually shared? An investigation of genome-wide association study summary statistics Thelwall, Mike Munafò, Marcus Mas-Bleda, Amalia Stuart, Emma Makita, Meiko Weigert, Verena Keene, Chris Khan, Nushrat Drax, Katie Kousha, Kayvan PLoS One Research Article Primary data collected during a research study is often shared and may be reused for new studies. To assess the extent of data sharing in favourable circumstances and whether data sharing checks can be automated, this article investigates summary statistics from primary human genome-wide association studies (GWAS). This type of data is highly suitable for sharing because it is a standard research output, is straightforward to use in future studies (e.g., for secondary analysis), and may be already stored in a standard format for internal sharing within multi-site research projects. Manual checks of 1799 articles from 2010 and 2017 matching a simple PubMed query for molecular epidemiology GWAS were used to identify 314 primary human GWAS papers. Of these, only 13% reported the location of a complete set of GWAS summary data, increasing from 3% in 2010 to 23% in 2017. Whilst information about whether data was shared was typically located clearly within a data availability statement, the exact nature of the shared data was usually unspecified. Thus, data sharing is the exception even in suitable research fields with relatively strong data sharing norms. Moreover, the lack of clear data descriptions within data sharing statements greatly complicates the task of automatically characterising shared data sets. Public Library of Science 2020-02-21 /pmc/articles/PMC7034915/ /pubmed/32084240 http://dx.doi.org/10.1371/journal.pone.0229578 Text en © 2020 Thelwall et al http://creativecommons.org/licenses/by/4.0/ 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 use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Thelwall, Mike Munafò, Marcus Mas-Bleda, Amalia Stuart, Emma Makita, Meiko Weigert, Verena Keene, Chris Khan, Nushrat Drax, Katie Kousha, Kayvan Is useful research data usually shared? An investigation of genome-wide association study summary statistics |
title | Is useful research data usually shared? An investigation of genome-wide association study summary statistics |
title_full | Is useful research data usually shared? An investigation of genome-wide association study summary statistics |
title_fullStr | Is useful research data usually shared? An investigation of genome-wide association study summary statistics |
title_full_unstemmed | Is useful research data usually shared? An investigation of genome-wide association study summary statistics |
title_short | Is useful research data usually shared? An investigation of genome-wide association study summary statistics |
title_sort | is useful research data usually shared? an investigation of genome-wide association study summary statistics |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7034915/ https://www.ncbi.nlm.nih.gov/pubmed/32084240 http://dx.doi.org/10.1371/journal.pone.0229578 |
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