Integrative Data Semantics through a Model-enabled Data Stewardship.

ABSTRACT:

Motivation

The importance of clinical data in understanding the pathophysiology of complex disorders has prompted the launch of multiple initiatives designed to generate patient-level data from various modalities. While these studies can reveal important findings relevant to the disease, each study captures different yet complementary aspects and modalities which, when combined, generate a more comprehensive picture of disease aetiology. However, achieving this requires a global integration of data across studies, which proves to be challenging given the lack of interoperability of cohort datasets.

Results

Here, we present the Data Steward Tool (DST), an application that allows for semi-automatic semantic integration of clinical data into ontologies and global data models an

SUBMITTER: Wegner P 

PROVIDER: S-EPMC9344835 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature