Evidence map›Paper›PMID 27737882›Full record

Observational studyBMJ open2016

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

Anisa Rowhani-Farid, Adrian G Barnett

Abstract readObservational Study
In one paragraph

Observational study in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Toward Open and Reproducible Epidemiology.American journal of epidemiology · 2023
    Article
  9. Article
  10. Estimating the Prevalence of Transparency and Reproducibility-Related Research Practices in Psychology (2014-2017).Perspectives on psychological science : a journal of the Association for Psychological Science · 2022
    Article
  11. Review
  12. Article
  13. Learning from reproducing computational results: introducing three principles and thePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2021
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Anisa Rowhani-FaridAustralian Centre for Health Services Innovation (AusHSI), Institute of Health and Biomedical Innovation (IHBI), Queensland University of Technology (QUT), Brisbane, Queensland, Australia.
Adrian G BarnettAustralian Centre for Health Services Innovation (AusHSI), Institute of Health and Biomedical Innovation (IHBI), Queensland University of Technology (QUT), Brisbane, Queensland, Australia.ORCID 0000-0001-6339-0374

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Biomedical ResearchOrganizational PolicyPeriodicals as TopicAccess to InformationAuthorshipClinical Trials as TopicCooperative BehaviorHumansInformation DisseminationInformation Storage and RetrievalPublic PolicyResearch DesignResearch PersonnelUnited KingdomData SharingOpen DataOpen ScienceReproducibilityResearch Integrity

Identifiers

PMID27737882
PMCPMC5073489

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.