Project deliverable Open Access
Pinto, Catia; Belien, Jeroen; Ligtvoet, Maarten; Urbini, Milena; Volkert, Pim; Gu, Wei; Tebaldi, Michela; Patocs, Attila; van der Velde, K.Joeri; Swertz, Morris; van Gijn, Marielle,.E; Korbel, Jan O.; Padella, Antonella; Valencia, Alfonso; Muñoz, Adolfo; Pedrera, Miguel; Serrano, Pablo; Parra, Carlos; Beltran, Sergi; Groot, Harmke; Soares, Flávio; Lourenço, Inês; Kovač, Jernej; Hermansson, Ulrika; Lindholm, Evita; Mimouni, Yanis; Rath, Ana; Haddad, Tala
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.
202205 B1MG D3.8 - Documented best practices in sharing and linking phenotypic and genetic data - 2v0.pdf
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