Evidence map›Paper›PMID 42374547›Full record

ArticleResearch integrity and peer review2026

Self-reported availability of research data in American Psychological Association journal articles: a cross-sectional investigation.

Claire C Guyatt, Gert Storms

Abstract read
In one paragraph

Article in Research integrity and peer review, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Claire C GuyattUniversity of Leuven, Belgium Tiensestraat 102, Louvain, B-3000, Belgium. clairecamille.guyatt@student.kuleuven.be.
Gert StormsUniversity of Leuven, Belgium Tiensestraat 102, Louvain, B-3000, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrior evidence suggests that journals requiring open data are associated with higher levels of data sharing in the published psychology literature. Data sharing policies are not, however, consistently implemented or enforced. The American Psychological Association (APA), in 2020, signed onto the Transparency and Openness Promotion Guidelines, which promote increasingly stringent data sharing policies. The current study examined self-reported data sharing in APA journals and whether stricter policies are linked to higher levels of self-reported data sharing.

methodsWe assessed self-reported data sharing practices in 1,250 articles published between 2023 and 2025 in 25 APA journals. Using logistic regression, we examined the association between journal policy level and self-reported data sharing. We then applied post-stratification weighting, based on the actual distribution of policy levels across APA journals and their associated percentages of data sharing, to estimate the overall percentage of self-reported data sharing.

resultsWe estimated overall self-reported data sharing to be 30.3% (95% CI [27.7, 33.0]). Journal policy stringency was strongly associated with self-reported data sharing: among journals with no data sharing policy, 15.0% of articles reported shared data (30 out of 200; 95% CI [10.7, 20.6]); among journals that mandate that authors reveal whether they shared their data, 26.4% of articles reported shared data (145 out of 550; 95% CI [22.8, 30.2]), and among journals that mandate data sharing, 70.4% of articles reported shared data (352 out of 500; 95% CI [66.2, 74.2]). At the same time, even journals with more stringent data sharing requirements did not consistently enforce their policies.

conclusionsThese results indicate that despite widespread endorsement of open science practices, data sharing is not yet a customary practice among psychology researchers. The observed self-reported data sharing practices do, however, show that more stringent journal policy requirements are associated with increased openness. While the observational nature of the present study precludes strong causal inferences, stricter journal policies may represent one potential factor relating to the adoption of data sharing practices, including the use of data embargoes and greater transparency around decisions not to share data. Overall, findings highlight a promising direction for ongoing efforts to promote openness in data sharing, while underscoring the need for future research to clarify the mechanisms that link policy to practice.

Indexed as

Data sharingJournal policiesOpen dataOpen scienceTransparency and openness promotion guidelines

Identifiers

PMID42374547
PMCPMC13595531

What Socratic holds

Textmetadata
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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 Socratic graph.