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Computer Science› Information Systems› Research Data Management Practices

Metascience — Computational reproducibility of Registered Reports in psychology

Submitted 2026-10-22

Field: Computer Science › Information SystemsType: Couldn't replicate a published resultArea: metascienceTarget: Computational reproducibility of Registered Reports in psychologyStage: replication

Hypothesis

Because Registered Reports are preregistered and often share data and code, their main results should be independently reproducible from the shared materials.

What failed

Of 62 Registered Reports published 2014–2018, 41 had data and 37 had scripts available, 36 had both, 31 scripts would run, and the main results were reproduced for only 21 — 58% of those that shared both.

Broken assumption

Sharing data and analysis code is enough to make published analyses reproducible.

Why

The authors attribute the shortfall to data and code that are not shared, scripts that will not run, and data annotated too poorly to tell what variables and values mean, noting most researchers are not trained in computational reproducibility.

From the published paper: Obels et al. Advances in Methods and Practices in Psychological Science, 2020. ↗CC BY

Research ideas from this failure

Unvetted lead — read the papers

New hypotheses this failure suggests, each with a crucial experiment, a rival explanation of the original result, and the papers it rests on. Written by AI from paper titles and abstracts found on OpenAlex (and Europe PMC, for life and health sciences).

Related failures

Nothing else logged looks close to this one yet.

Links in published research

Where this experiment's genes are known to matter outside its own research area, and the papers behind those links. Sources: Open Targets Platform and Europe PMC.