One of the fundamental purposes of the Principles of Good Laboratory Practice (GLP) is to ensure the quality and integrity of test data related to non-clinical safety studies. The way in which study data, supporting human, animal and environmental safety assessment, is generated, handled, reported, retained and archived has continued to evolve in line with the introduction and ongoing development of supporting technologies. However, the main purpose of the requirements of the Principles of GLP remains the same in having confidence in the quality, the integrity of the data and being able to reconstruct activities performed during the conduct of non-clinical safety studies. This OECD Advisory Document on GLP Data Integrity provides guidance for test facilities or test sites that conduct GLP studies and aims to promote a risk-based approach to the management of data.
The OECD Principles of Good Laboratory Practice (GLP) ensure the generation of high quality and reliable test data related to the safety of industrial chemical substances and preparations. The principles have been created in the context of harmonising testing procedures for the Mutual Acceptance of Data (MAD).
Mutual Acceptance of DataThe MAD system helps to avoid conflicting or duplicative national requirements, provides a common basis for co-operation among national authorities and avoids creating non-tariff barriers to trade. OECD countries and full adherents have agreed that a safety test carried out in accordance with the OECD Test Guidelines and Principles of Good Laboratory Practice in one OECD country must be accepted by other OECD countries for assessment purposes. This is the concept of “tested once, accepted for assessment everywhere*”. This saves the chemicals industry the expense of duplicate testing for products which are marketed in more than one country. |
Did you know?By reducing duplication, and creating a framework for the sharing of work, the MAD system saves governments and industry around € 309 million each year, as well as reduces the number of animals used in such testing. |
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