B1MG D3.8 Documented best practices in sharing and linking phenotypic and genetic data —2v0

作者：Catia Pinto, Jeroen Beliën, Maarten Ligtvoet, Milena Urbini, Pim Volkert, Wei Gu, Michela Tebaldi, Attila Patócs, K.Joeri van der Velde, Morris A. Swertz, Mariëlle van Gijn, Jan O. Korbel, Antonella Padella, Alfonso Valencia, Muñoz, Adolfo, Miguel Pedrera‐Jiménez, Pablo Serrano, Carlos Parra, Sergi Beltrán, Harmke Groot, Flávio Soares, Inês Lourenço, Jernej Kovač, Ulrika Hermansson, Evita M. Lindholm, Yanis Mimouni, Ana Rath, Tala Haddad · 发表于：Zenodo (CERN European Organization for Nuclear Research) · 年份：2023 · DOI：10.5281/zenodo.8383721 · 研究领域：Cancer Genomics and Diagnostics

This is the second version of documented best practices in sharing and linking phenotypic and genetic data. It identifies and describes best practices on sharing and linking phenotypic and genetic data in both the health care sector as in the research setting to, as much as possible, avoid reinventing the wheel, learn from previous/current existing projects to improve performance and avoid mistakes made by others. The listed ’best practices’ have been identified by the 1+MG WG3 experts, who are nominated by the Member States, and are exemplary practices that have achieved results which could be used for larger scale cross-border initiatives.