European Commission - Animals used for scientific purposes
All animal testing must be carried out in accordance with EU legislation. Since 1986, the EU has had specific legislation on the use of animals for scientific purposes. In 2010 the EU passed Directive 2010/63 / EU on the protection of animals used for scientific purposes. It came into full force on January 1, 2013 ( link ).
🔄 Links to German animal protection legislation
The 3R Center of Charité provides an extensive list of links to current animal welfare legislation and other relevant information ( link ).
PREPARE stands for "Planning Research and Experimental Procedures on Animals: Recommendations for Excellence". A group of experts from England and Norway, led by Norecopa, have developed a set of guidelines for planning animal experiments. They complement reporting guidelines such as ARRIVE and cover all stages of quality assurance, from the management of an animal facility or population to the individual procedures that are part of a study ( link ).
ARRIVE stands for "Animal Research: Reporting of In Vivo Experiments". The ARRIVE guidelines were developed as part of an NC3Rs initiative to improve reporting standards and ensure that the data from animal experiments can be fully evaluated and used ( link). The ARRIVE guidelines are now available in a beta version 2.0 ( link ).
GIVIMP stands for 'Guidance Document on Good In Vitro Method Practices'. It is part of the OECD series on 'Testing and Assessment' and addresses the development and implementation of in vitro methods for regulatory use in human safety assessments. It provides guidance on key elements of in vitro methods for test method developers and the end users of research data ( link).
🔄 Guideline on the principles of regulatory acceptance of 3R test approaches
This EMA guideline defines regulatory acceptance and provides guidance on the scientific and technical criteria for regulatory acceptance of 3Rs testing approaches. Pathways to regulatory acceptance of 3R test approaches and procedures for submitting and evaluating a proposal for regulatory acceptance of 3R test approaches are described ( link ).
The FAIR Guiding Principles for scientific data management and stewardship state that data must be traceable, accessible, interoperable and reusable (Wilkinson et al. 2016). These guidelines place particular emphasis on improving the ability of machines to automatically find and use data and on helping individuals reuse it ( link ).