Keener et al. (2023) raise concerns about the trustworthiness of Industrial/Organizational (IO) Psychology research and related fields due to the low reproducibility and replicability of research findings. The authors provide various solutions to …
In the past few years, there has been a notable shift in the open science landscape as more countries and international agencies release recommendations and implementation guidelines for open scholarship. In August 2022, the US White House Office of …
Digital archivists are already experts at tackling the complex challenges of making research data open and accessible. We can help to smooth the transition.
Public concerns about the perils associated with incomplete or delayed reporting of results from clinical trials has heightened interest in trial registries and results databases. Here we review the current status of trial registration efforts and …
The credibility of psychological findings can be undermined by a history of questionable research practices (QRPs) by researchers. One remedy for this problem is the pre-registration of a study in which a research protocol is registered before …
Study preregistration promotes transparency in scientific research by making a clear distinction between a priori and post hoc procedures or analyses. Management and applied psychology have not embraced preregistration in the way other closely …
The crisis of confidence has undermined the trust that researchers place in the findings of their peers. In order to increase trust in research, initiatives such as preregistration have been suggested, which aim to prevent various questionable …
Background ClinicalTrials.gov is a publicly accessible, Internet-based registry of clinical trials managed by the US National Library of Medicine that has the potential to address selective trial publication. Our objectives were to examine …
We provide a neuroimaging database consisting of 102 synaesthetic brains using state-of-the-art 3 T MRI protocols from the Human Connectome Project (HCP) which is freely available to researchers. This database consists of structural (T1- and …
The FAIR Principles are a set of good practices to improve the reproducibility and quality of data in an Open Science context. Different sets of indicators have been proposed to evaluate the FAIRness of digital objects, including datasets that are …