• Updated statistics of DB-ALM usage available. More
  • Comprehensive DB-ALM Activity Report can be accessed from here
  • EURL ECVAM Status Report 2017 on alternative methods now available online

About the DB-ALM

Welcome to the DB-ALM version with an entirely revised data retrieval approach

The DB-ALM is a public, factual database service that provides evaluated information on development and applications of advanced and alternative methods to animal experimentation in biomedical sciences and toxicology, both in research and for regulatory purposes.

Starting from 2015, method summaries are provided in a format compliant with the new OECD Guidance. Read more

The service is operated by the European Commission's Joint Research Centre and implements a mandate of the EURL ECVAM (EU Reference Laboratory on Alternatives to Animal Testing) in relation to Directive 2010/63/EU1,2 on the protection of animals used for scientific purposes

The current version of the DB-ALM covers the following Data Sectors:
Topic Summaries: Thematic review data sheets in a form of an executive summary on alternative methods, available in the DB-ALM for an entire topic area (e.g. Percutaneous Absorption, Eye Irritation).
Method Descriptions: Two levels of detail: i) method summaries covering the scientific principle, the needs addressed, main applications, and current status of the development, validation or acceptance; ii) protocols include detailed technical instructions to enable the transfer of a method to a laboratory.
Project & Study Descriptions: Evaluations of methods, including EU integrated projects and selected formal validation studies as summary records, cross-referenced with related data sectors.
Compounds & Test Results: Lists of substances and selected individual investigations performed with methods included in the DB-ALM.
People & Institutions: Information on people and institutions active in the field of alternative methods is provided based on voluntary participation.
Bibliography: All references analysed for the compilation of the data sheets.