By: Björn
Not allowed to publish everywhere
March 26, 2017The Economist reported (link) that the biggest foundation in the world, the Bill & Melinda Gates Foundation, have a new policy…
Read MoreMeeting Report: Reproducible Research and Registered Reports
March 21, 2017NIHR STATS Group: Laboratory StudiesLondon, 20 March 2017 Invited speakerThe meeting opened with a comprehensive presentation by guest speaker Professor Chris…
Read MoreEffect Vibrations and a Roman God
March 19, 2017There are a large number of ways how to analyze the same data set. Depending on the decision made in handling,…
Read MoreAdditional Reads in March 2017
March 19, 2017Replication is not about making or breaking careers: it is about providing an opportunity to move science forward. Psychology journal editor asked…
Read MoreFebruary 2017
March 7, 2017Biowebspin: PAASP partners with the academic-industry network platform Biowebspin – Read more Author checklists: We do make an impact – Read…
Read MoreNo publication without confirmation
February 28, 2017In a Nature Comment article Malcolm McCleod and Jeffrey Mogli present a very interesting idea for preclinical research to improve trust…
Read MoreReproducibility2020: Progress and Priorities
February 28, 2017One year after Global Biological Standards Institute (GBSI) issued its Reproducibility2020 challenge and action plan for the biomedical research community, Freedman…
Read MoreThe Interplay between Data Quality and Animal Welfare
February 28, 2017The 3Rs (Replacement, Reduction and Refinement) originating from Russell and Burch (1959) are the guiding principles in preclinical animal research. They…
Read MoreNo publication without confirmation
February 27, 2017In a Nature Comment Malcolm McCleod and Jeffrey Mogli present an idea for preclinical research to improve trust in animal studies…
Read MoreAcknowledging and Overcoming Nonreproducibility in Basic and Preclinical Research
February 13, 2017In this Viewpoint article, published in JAMA on Feb 13, 2017, John P.A. Ioannidis summarizes critical factors (e.g. poor statistical methods,…
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