AstroID resource: a scalable, relational database structure for longitudinal biomarker discovery.

ABSTRACT:

Background

The biological sciences are producing increasingly larger datasets for biomarker discovery. While common data models have been developed for medical terms as they relate to patient health outcomes, a data model that supports longitudinal tracking of biospecimens and relating them against an individual patient experience is a large, unmet need.

Method

A structure and associated taxonomy were achieved through a six-tier build in Research Electronic Data CAPture (REDCap), which organizes the complexity of the therapeutic decisions, biospecimens, and outcomes that characterize a longitudinal patient experience. Modules were developed to support export of REDCap data into a Structured Query Language (SQL) format for merging with extended biomarker data, also housed in

SUBMITTER: Will EM 

PROVIDER: S-EPMC12742122 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature