This course is an introduction to the Open Science approach to psychology. We will investigate if how the field has experienced a “replicability crisis” and explore the potential structural and methodological factors that may be creating false …
Open Science is a global transition to making scientific research practices more open
and collaborative, for greater scientific and societal impact. The goal of the Netherlands
National Open Science Programme (NPOS) is to facilitate all national …
In recent years, meta-research methods issues (e.g., reproducibility, open science, etc.) have yielded provocative findings, vigorous discussions, and novel innovations. This course will engage with these issues in ways that are primarily practical, …
In 2009, the climate research community was rocked by the Climategate controversy, an email leak that allegedly provided evidence of data manipulation [1]. While that allegation was shown to be unsubstantiated [2], it focused the community’s …
OSCARS brings together world-class European Research Infrastructures (RIs) in the ESFRI roadmap and beyond to foster the uptake of Open Science in Europe. The thematically oriented RIs are part of the five Science Clusters (Humanities and Social …
Various interventions – especially those related to open science – have been proposed to improve the reproducibility and replicability of scientific research. To assess whether and which interventions have been formally tested for their effectiveness …
Various interventions – especially those related to open science – have been proposed to improve the reproducibility and replicability of scientific research. To assess whether and which interventions have been formally tested for their effectiveness …
Open science ensures that research is transparently reported and freely accessible for all to assess and collaboratively build on. Psychiatric genetics has led among the health sciences in implementing some open science practices in common study …
Objective: To describe the frequency of open science practices in a contemporary sample of studies developing prognostic models using machine-learning methods in the field of oncology.
Study design and setting: We conducted a systematic review, …