TY - JOUR
T1 - Is useful research data usually shared?
T2 - An investigation of genome-wide association study summary statistics
AU - Thelwall, Mike
AU - Munafò, Marcus
AU - Mas-Bleda, Amalia
AU - Stuart, Emma
AU - Makita, Meiko
AU - Weigert, Verena
AU - Keene, Chris
AU - Khan, Nushrat
AU - Drax, Katie
AU - Kousha, Kayvan
PY - 2020/2/21
Y1 - 2020/2/21
N2 - 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.
AB - 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.
KW - Biometry/methods
KW - Databases, Genetic/statistics & numerical data
KW - Genome-Wide Association Study/trends
KW - Humans
KW - Information Dissemination/methods
KW - Research Report
U2 - 10.1371/journal.pone.0229578
DO - 10.1371/journal.pone.0229578
M3 - Article
C2 - 32084240
SN - 1932-6203
VL - 15
SP - e0229578
JO - PLoS ONE
JF - PLoS ONE
IS - 2
ER -