Hypothesizing after the results are known, or HARKing, occurs when researchers check their research results and then add or remove hypotheses on the basis of those results without acknowledging this process in their research report (Kerr, 1998). In …
A recently published series of open science guides help researchers in the Netherlands navigate open science. They cover topics such as pre-prints, open licenses, questionable publication practices (forthcoming) and how to apply open science in …
The article describes the results of the online survey on open science (OS) carried out on researchers affiliated with universities and Spanish research centres and focused on open access to scientific publications, the publication process, the …
Open data is receiving increased attention and support in academic environments, with one justification being that shared data may be re-used in further research. But what evidence exists for such re-use, and what is the relationship between the …
This manuscript describes the ISMRM OSIPI (Open Science Initiative for Perfusion Imaging) lexicon for dynamic contrast-enhanced and dynamic susceptibility-contrast MRI. The lexicon was developed by Taskforce 4.2 of OSIPI to provide standardized …
Journal authorship practices have not sufficiently evolved to reflect the way research is now done. Improvements to support teams, collaboration, and open science are urgently needed.
Objective
The goals of this study were to evaluate the extent that physical therapy journals support open science research practices by adhering to the Transparency and Openness Promotion guidelines and to assess the relationship between journal …
Peer review is considered by many to be a fundamental component of scientific publishing. In this context, open peer review (OPR) has gained popularity in recent years as a tool to increase transparency, rigor, and inclusivity in research. But how …
Several researchers have recently argued that p values lose their meaning in exploratory analyses due to an unknown inflation of the alpha level (e.g., Nosek & Lakens, 2014; Wagenmakers, 2016). For this argument to be tenable, the familywise error …
This is an archived version of a blog post on preregistration. The first half of the post argues that there is not a strong justification for preregistration as a tool to solve problems with statistical inference (p-hacking); the second half argues …