The Generalized Data Model for clinical research.

ABSTRACT:

Background

Most healthcare data sources store information within their own unique schemas, making reliable and reproducible research challenging. Consequently, researchers have adopted various data models to improve the efficiency of research. Transforming and loading data into these models is a labor-intensive process that can alter the semantics of the original data. Therefore, we created a data model with a hierarchical structure that simplifies the transformation process and minimizes data alteration.

Methods

There were two design goals in constructing the tables and table relationships for the Generalized Data Model (GDM). The first was to focus on clinical codes in their original vocabularies to retain the original semantic representation of the data. The second was to

SUBMITTER: Danese MD 

PROVIDER: S-EPMC6591926 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature