Systematic reviews: Evidence from animal research is considered by researchers to be of the lowest quality in medical research.
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3Rs
There is a great need for valuable ex vivo models that allow for assessment of cartilage repair strategies to reduce the high number of animal experiments.
Designed to facilitate sharing-SEARCH and SEARCHBreast provide scientists with choices when determining the most robust and relevant models to use when studying human disease.
‘Research integrity’ is an overarching term relating to the standards to which research is done. It requires every individual to acknowledge their responsibilities as well as being accountable for adhering to legal and ethical principles.
Silabe offers a large range of NonHuman Primate bioproducts to academic research institutes and companies in the field of Science and Health.
StudySwap is a platform hosted on the Center for Open Science’s Open Science Framework site, enables users to post their research “haves” and “needs,” with the goal of helping scientists exchange resources and find suitable collaborators for replication studies.
The goal of this project was to develop and implement a harmonized guideline for ideal and maximum dose volumes for various routes for the most common laboratory animals in biomedical research.
Our ARRIVE (Animal Research: Reporting of In Vivo Experiments) guidelines are intended to improve the reporting of research using animals – maximising information published and minimising unnecessary studies.
The I3R group produced the first edition of this document in January 2001 to assist researches and information professionals in the pharmaceutical industry.
This site provides an interactive short course on experimental design for research scientists working with laboratory animals. The aim is to reduce the number of animals which are used, improve the quality of the science and save time, money and other scientific resources.
CAMARADES provides a supporting framework for groups involved in the systematic review and meta-analysis of data.