This site is about everything that comes up during data analysis except for statistical modelling and inference. This might strike you as strange, given R’s statistical roots. First, let me assure you we believe that modelling and inference are …
Purpose
This study has been focused on assessing the Open Science scenario of cancer research during the period 2011–2021, in terms of the derived scientific publications and raw data dissemination.
Methods
A cancer search equation was executed in …
Statistical analysis is error prone. A best practice for researchers using statistics would therefore be to share data among co-authors, allowing double-checking of executed tasks just as co-pilots do in aviation. To document the extent to which this …
This study investigates the relationship between loneliness and support for populist radical right (PRR) parties. Drawing on data from over 40,000 individuals across nine European countries, the researchers conducted 25 preregistered analyses and …
The Qualitative Open Science symposium, organised on the 28th of March 2025 at the Vrije Universiteit Amsterdam featured plenaries and workshops dedicated to a wide range of qualitative OS topics with the aim of facilitating knowledge exchange and …
In recent years, the scientific community has called for improvements in the credibility, robustness and reproducibility of research, characterized by increased interest and promotion of open and transparent research practices. While progress has …