B1MG D3.7 - Documented best practices in sharing and linking phenotypic and genetic data - 1v0
Year: 2021
Type: article
Abstract: This is the first 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 healthcare sector and in the research setting. The idea is to, as much as possible, avoid reinventing the wheel, learn from previous/current existing projects to improve performance and avoid mistakes made by others.
Authors: Belien, Jeroen, Pinto, Catia, Ligtvoet, Maarten, Urbini, Milena, Volkert, Pim, Gu, Wei, Tebaldi, Michela, Patocs, Attila, van der Velde, K.Joeri, van Gijn, Marielle E, Korbel, Jan O, Padella, Antonella, Valencia, Alfonso, Pedrera, Miguel, Serrano, Pablo, Parra, Carlos, Beltran, Sergi, Muñoz, Adolfo
Institutions: Amsterdam UMC Location Vrije Universiteit Amsterdam, Nationaal ICT Instituut in de Zorg, University Medical Center Groningen, European Molecular Biology Laboratory, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori, Research Institute Hospital 12 de Octubre, Instituto de Salud Carlos III
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder: European Commission
Award: Beyond 1M Genomes
OpenAlex ID: W6912474916