The DATOS-CAT project: Leveraging OMOP CDM for the standardization, integration and analysis of population-based biomedical data in Catalonia

Entity: Universitat Rovira i Virgili (URV)

Confidenciality: No

Education area(s): Ciència de Dades Biomèdiques

APS: No

Title in different languages: The DATOS-CAT project: Leveraging OMOP CDM for the standardization, integration and analysis of population-based biomedical data in Catalonia

Abstract: This master's thesis contributes to the DATOS-CAT project by developing guidelines, tools, and protocols to improve the interoperability and visibility of the GCAT cohort and the COVICAT-CONTENT sub-cohort, aligning with FAIR principles and European Commission policies. It defines data flow and evaluates different technologies, addressing key aspects like creating a data catalog and standardizing data to a common model. Two Extract-Load-Transform approaches are evaluated: data engineering tools and semantic technologies. The study emphasizes developing platforms for data discovery and federated analysis while ensuring privacy and security, providing a roadmap for future health project improvements.

Subject: Bioinformàtica

Academic year: 2023-2024

Language: en

Work's public defense date: 2024-06-20

Subject areas: Health sciences

Student: Martinez Gonzalez, Judith

Department: Enginyeria Informàtica i Matemàtiques

Creation date in repository: 2025-03-03

Keywords: FAIR principles, OMOP CDM, interoperability

Title in original language: The DATOS-CAT project: Leveraging OMOP CDM for the standardization, integration and analysis of population-based biomedical data in Catalonia

Access Rights: info:eu-repo/semantics/openAccess

Project director: Labarga Gutiérrez, Alberto