normes

Low-voltage fuses - Part 5: Guidance for the application of low-voltage fuses

Maritime navigation and radiocommunication equipment and systems - Shipborne voyage data recorder (VDR) - Part 1: Performance requirements, methods of testing and required test results

Medical devices - Post-market surveillance for manufacturers (ISO/TR 20416:2020)

Dispositifs médicaux - Surveillance après mise sur le marché incombant aux fabricants (ISO/TR 20416:2020)

Policy on dissemination, sales and copyright of CEN-CENELEC Publications

Policy on the distribution, sale and copyright of CEN and CENELEC Content

The concept of Affiliation with CEN and CENELEC

The concept of Partner Standardization Body with CEN and CENELEC

Guide on membership criteria of CEN and CENELEC

Guide on the organizational structure and processes for the assessment of the membership criteria of CEN and CENELEC

Use and protection of the trademarks and domain names of CEN and CENELEC

The concept of Cooperation with European Organizations and other stakeholders

CEN and/or CENELEC Workshop Agreements - A rapid way to standardization

European Guide on Standards and Regulation - Better regulation through the use of voluntary standards - Guidance for policy makers

Competition law for participants in CEN-CENELEC activities

Guide for addressing climate change adaptation in standards

Guide for addressing environmental issues in testing standards

Modalities for the common sessions of CEN and CENELEC governing bodies and for the common meetings of their advisory groups

Guide for multifuel stations

The role of standards in support of Technology Transfer

Guide for addressing accessibility in standards

CEN-CENELEC Guidelines for Implementation of the Common Policy on Patents (and other statutory intellectual property rights based on inventions)

Information technology - Artificial intelligence - Treatment of unwanted bias in classification and regression machine learning tasks (ISO/IEC TS 12791:2024)

Technologies de l'information - Intelligence artificielle - Traitement des biais indésirables dans les tâches d'apprentissage automatique de classification et de régression (ISO/IEC TS 12791:2024)