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Questionable research practices among researchers in the most research-productive management programs

Questionable research practices (QRPs) among researchers have been a source of concern in many fields of study. QRPs are often used to enhance the probability of achieving statistical significance which affects the likelihood of a paper being …

Raising awareness of uncertain choices in empirical data analysis: A teaching concept toward replicable research practices

Throughout their education and when reading the scientific literature, students may get the impression that there is a unique and correct analysis strategy for every data analysis task and that this analysis strategy will always yield a significant …

The Benefits of Preregistration and Registered Reports

Practices that introduce systematic bias are common in most scientific disciplines, including toxicology. Selective reporting of results and publication bias are two of the most prevalent sources of bias and lead to unreliable scientific claims. …

The power of many brains: Catalyzing neuropsychiatric discovery through open neuroimaging data and large-scale collaboration

Recent advances in open neuroimaging data are enhancing our comprehension of neuropsychiatric disorders. By pooling images from various cohorts, statistical power has increased, enabling the detection of subtle abnormalities and robust associations, …

Towards building a trustworthy pipeline integrating Neuroscience Gateway and Open Science Chain

When the scientific dataset evolves or is reused in workflows creating derived datasets, the integrity of the dataset with its metadata information, including provenance, needs to be securely preserved while providing assurances that they are not …

Uncertainty Is Science’s Superpower. Make It Yours, Too

Inspiration, creativity, discovery—all of these things start from a place of not knowing, and these researchers know how to navigate those uncertainties.​

Understanding the provenance and qualityof methods is essential for responsible reuseof FAIR data

Data availability and reusability are critical to open research. The FAIR principles provide a minimal set of guiding principles for making data findable, accessible, interoperable and reusable. Open data are not necessarily FAIR, and FAIR data are …

A framework for understanding an open scientific community using automated harvesting of public artifacts

Background: The Observational Health Data Sciences and Informatics (OHDSI) community has emerged as a leader in observational research on real-world clinical data for promoting evidence for healthcare and decision-making. The community has seen rapid …

A Guide to Choosing a Data Repository for NIH-Funded Research

The National Institutes of Health (NIH) prefers data to be shared via a data repository. This article provides a guide to data repositories and an algorithm for choosing where to deposit your data.

A library of electrophysiological responses in plants - a model of transversal education and open science

Electrophysiology in plants is understudied, and, moreover, an ideal model for student inclusion at all levels of education. Here, we report on an investigation in open science, whereby scientists worked with high school students, faculty, and …
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