Has open data arrived at the British Medical Journal (BMJ)? An observational study

Author:

Rowhani-Farid Anisa,Barnett Adrian GORCID

Abstract

ObjectiveTo quantify data sharing trends and data sharing policy compliance at the British Medical Journal (BMJ) by analysing the rate of data sharing practices, and investigate attitudes and examine barriers towards data sharing.DesignObservational study.SettingThe BMJ research archive.Participants160 randomly sampled BMJ research articles from 2009 to 2015, excluding meta-analysis and systematic reviews.Main outcome measuresPercentages of research articles that indicated the availability of their raw data sets in their data sharing statements, and those that easily made their data sets available on request.Results3 articles contained the data in the article. 50 out of 157 (32%) remaining articles indicated the availability of their data sets. 12 used publicly available data and the remaining 38 were sent email requests to access their data sets. Only 1 publicly available data set could be accessed and only 6 out of 38 shared their data via email. So only 7/157 research articles shared their data sets, 4.5% (95% CI 1.8% to 9%). For 21 clinical trials bound by the BMJ data sharing policy, the per cent shared was 24% (8% to 47%).ConclusionsDespite the BMJ's strong data sharing policy, sharing rates are low. Possible explanations for low data sharing rates could be: the wording of the BMJ data sharing policy, which leaves room for individual interpretation and possible loopholes; that our email requests ended up in researchers spam folders; and that researchers are not rewarded for sharing their data. It might be time for a more effective data sharing policy and better incentives for health and medical researchers to share their data.

Publisher

BMJ

Subject

General Medicine

Reference27 articles.

1. Society TR . Science as an open enterprise London: The Royal Society Science Policy Centre, 2012. (updated June 2012). https://royalsociety.org/~/media/royal_society_content/policy/projects/sape/2012-06-20-saoe.pdf

2. When will ‘open science’ become simply ‘science’?;Watson;Genome Biol,2015

3. Sharing health data: good intentions are not enough

4. Aleksic J , Alexa A , Attwood TK , et al . An open science peer review oath. Version 2. F1000Research 2014;3:271. doi:10.12688/f1000research.5686.2

5. Reproducible Research Practices and Transparency across the Biomedical Literature

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