This publication provides an overview of some practical tools and strategies that researchers can implement in their own workflow to increase replicability and the overall quality of psychology research.

Many efforts are underway to promote data sharing in psychology, however it is currently unclear if the in-principle benefits of data availability are being realized in practice. In a recent study, we found that a mandatory open data policy introduced at the journal Cognition led to a substantial increase in available data, but a considerable portion of this data was not reusable. For data to be reusable, it needs to be clearly structured and well-documented. Open data alone will not be enough to achieve the benefits envisioned by proponents of data sharing.

Study attempts to reproduce values reported in 35 articles published in the journal Cognition revealed analysis pipelines peppered with errors. Elements of a reproducible workflow that may help to mitigate these problems in future research are outlined.

Only about 20% of statements indicate that data are deposited in a repository, which the PLOS policy states is the preferred method. More commonly, authors state that their data are in the paper itself or in the supplemental information, though it is unclear whether these data meet the level of sharing required in the PLOS policy.

An introductory course that guides students towards a reproducible science workflow.

Current bibliometric incentives discourage innovative studies and encourage scientists to shift their research to subjects already actively investigated.

Reproducibility failures occur even in fields such as mathematics or computer science that do not have statistical problems or issues with experimental design. Suggested policy changes ignore a core feature of the process of scientific inquiry that occurs after reproducibility failures: the integration of conflicting observations and ideas into a coherent theory.

This study by the National Association of Scholars examines the different aspects of the reproducibility crisis of modern science. The report also includes a series of policy recommendations, scientific and political, for alleviating the reproducibility crisis.

New guidelines from many journals requiring authors to provide data and code postpublication upon request is found to be an improvement over no policy, but currently insufficient for reproducibility.

Widespread adoption of preregistration will increase distinctiveness between hypothesis generation and hypothesis testing and will improve the credibility of research findings.