Category: reproducibility crisis

Building reliable teams, a cure for research pathologies?

You-Na Lee and John P. Walsh argue that the solution to rising incidences of unreliable findings and research pathologies does not necessarily lie with preventing individual malpractice, but rather with promoting structural research integrity and developing better research teams and organizations.   There is increasing concern amongst the scientific community, policymakers and the general public about the unreliability of science. […]

Building reliable teams, a cure for research pathologies?

You-Na Lee and John P. Walsh argue that the solution to rising incidences of unreliable findings and research pathologies does not necessarily lie with preventing individual malpractice, but rather with promoting structural research integrity and developing better research teams and organizations.   There is increasing concern amongst the scientific community, policymakers and the general public about the unreliability of science. […]

The overall incidence of published replication studies in economics is minuscule – greater incentives are required

Replicability is considered a hallmark of good scientific practice, an important post-publication quality check. But how many studies are chosen for replication? Frank Mueller-Langer, Benedikt Fecher, Dietmar Harhoff, Gert G. Wagner have examined the economics literature and find that only one in one thousand publications are replication studies. The introduction of mandatory data disclosure policies may help to increase the […]

Contrary to common belief, randomised controlled trials inevitably produce biased results

Much of the social and medical sciences depend on randomised control trials. But while this may be considered the foundational experimental method, a certain degree of bias inevitably arises in any trial; whether this is sample bias, selection bias, or measurement bias. This is important as the level of validity of a trial’s causal claims can be a matter of […]

To save the research literature, let’s make literature reviews reproducible

Last week the Impact Blog featured a post from Richard P. Phelps, in which he proposed that journals get rid of their requirement for a literature review. Arnaud Vaganay agrees with much of what Phelps said, literature reviews are erratic and self-serving, but suggests doing away with them altogether is likely to make science less efficient and less credible. Instead, […]

Journal data sharing policies are moving the scientific community towards greater openness but clearly more work remains

Data sharing is a key part of the drive towards greater openness in scientific research, allowing readers to reproduce and confirm an article’s findings, or even reuse its data as part of a new study. Many journals have policies requiring researchers to share their data in full, with PLOS being a forerunner in this area. But how effective has the […]

Software updates: the “unknown unknown” of the replication crisis

The replication crisis is largely concerned with known problems, such as the lack of replication standards, non-availability of data, or p-hacking. One hitherto unknown problem is the potential for software companies’ changes to the algorithms used for calculations to cause discrepancies between two sets of reported results. Anastasia Ershova and Gerald Schneider encountered this very problem in the course of […]

Six principles for assessing scientists for hiring, promotion, and tenure

The negative consequences of relying too heavily on metrics to assess research quality are well known, potentially fostering practices harmful to scientific research such as p-hacking, salami science, or selective reporting. The “flourish or perish” culture defined by these metrics in turn drives the system of career advancement in academia, a system that empirical evidence has shown to be problematic […]

Collaboration and concerted action are key to making open data a reality

The case for open data is increasingly inarguable. Improved data practice can help to address concerns about reproducibility and research integrity, reducing fraud and improving patient outcomes, for example. Research also shows good data practice can lead to improved productivity and increased citations. However, as Grace Baynes reports, recent survey data shows that while the research community recognises the value […]