New Handbook of Experimental Pharmacology focusing on Good Research Practice

The Handbook of Experimental Pharmacology is one of the most authoritative and influential book series in pharmacology. It provides critical and comprehensive discussions of the most significant areas of pharmacological research.
PAASP members have contributed to the new Handbook of Experimental Pharmacology “Good Research Practice in Pharmacology and Experimental Life Sciences” as Editors and/or authors of individual book chapters such as:

Good Practice for Conference Abstracts and Presentations: GPCAP

GPCAP provides recommendations on good submission and presentation practice for scientific and medical congresses. These recommendations cover conference abstracts, posters and slides for oral presentations. GPCAP focuses on company-sponsored research i.e. research that is sponsored and/or funded by a pharmaceutical, medical device or biotechnology company. Company-sponsored research refers to all types of research, including preclinical and clinical, pre- and post-marketing.
Abstracts submitted to conferences as well as presentations (oral or posters) are not peer-reviewed. Therefore, it is important that they are prepared in a similar rigorous process as a full publication. GPCAP recommendations extend and complement the principles of the Good Publication Practice (GPP), provide “general principles of best practice for conference presentations and provide recommendations around authorship, contributorship, financial transparency, prior publication and copyright, to conference organizers, authors and industry professionals.”


Updated Arrive guidelines 2019

A long awaited revision of the ARRIVE guidelines has finally been published. There are three main reasons why the revision was badly needed and comes at the right time. 
First, the list of recommendations has been re-worked to identify the Essential 10 – i.e. those recommendations that should receive most attention. This is not to say that abstract or declaration of conflict of interest are not important but the enhanced focus on study design and analysis will make it easier for scientists to understand what the ARRIVE guidelines are for and why they cannot be ignored.
Second, for the original ARRIVE guidelines (as well as the Nature life sciences checklist that is related), it has always been unclear how scientists should respond and what information should be provided. Now, for the Essential 10, a companion manuscript provides detailed information with examples.
Third, the original ARRIVE guidelines have been published almost 10 years ago. Various analyses have shown that the guidelines may be known but are certainly not followed. With the ARRIVE 2.0, we, as the community, have a possibility to re-start the awareness campaign and engage synergistic efforts (e.g. EQIPD) to make sure that the ARRIVE 2.0 are also followed.


The ARRIVE guidelines published in 2010 are now updated.

To Have Practical Relevance, Scientific Claims Need to be Accurate

For all different stakeholders within the scientific community (researchers, reviewers, editors, policymakers, funding agencies, journalists, and the general public) it is important that scientific claims are as accurate as possible. However, there is increasing evidence questioning the robustness and accuracy of social and biomedical research outcomes. In this article, Rolf Zwaan and Anita Eerland have identified several prevalent threats to research accuracy. The authors discuss ways in which these threats can be removed or minimized. In addition, the authors suggest how different stakeholders can contribute to make science more accurate and thus more practically relevant.

Guidelines on statistics for researchers using laboratory animals: the essentials

There is a growing concern that flawed statistics and deficient reproducibility in biomedical studies results in an unethical waste of animals in research. This review by Romain-Daniel Gosselin aims to provide guidelines in biostatistics for researchers, based on frequently observed mistakes, misuses and misconceptions as well as on the specificities of animal experimentation. Twelve recommendations are formulated that cover sampling, sample size optimisation, choice of statistical tests, understanding p-values and reporting results. The objective of this article is to highlight important statistical issues that scientists should consider for the correct design, execution and reporting of animal experiments.