| Literature DB >> 29295104 |
Guillaume Bouzillé1, Richard Westerlynck2, Gautier Defossez3, Dalel Bouslimi4, Sahar Bayat5, Christine Riou1, Yann Busnel6, Clara Le Guillou7, Jean-Michel Cauvin7, Christian Jacquelinet6, Patrick Pladys8, Emmanuel Oger9, Eric Stindel7, Pierre Ingrand3, Gouenou Coatrieux4, Marc Cuggia1.
Abstract
Sharing and exploiting Health Big Data (HBD) allow tackling challenges: data protection/governance taking into account legal, ethical, and deontological aspects enables trust, transparent and win-win relationship between researchers, citizens, and data providers. Lack of interoperability: compartmentalized and syntactically/semantica heterogeneous data. INSHARE project using experimental proof of concept explores how recent technologies overcome such issues. Using 6 data providers, platform is designed via 3 steps to: (1) analyze use cases, needs, and requirements; (2) define data sharing governance, secure access to platform; and (3) define platform specifications. Three use cases - from 5 studies and 11 data sources - were analyzed for platform design. Governance derived from SCANNER model was adapted to data sharing. Platform architecture integrates: data repository and hosting, semantic integration services, data processing, aggregate computing, data quality and integrity monitoring, Id linking, multisource query builder, visualization and data export services, data governance, study management service and security including data watermarking.Entities:
Keywords: Information Dissemination; Information Storage and Retrieval; Registries
Mesh:
Year: 2017 PMID: 29295104
Source DB: PubMed Journal: Stud Health Technol Inform ISSN: 0926-9630