OnetoMap Meta-Data: Healthcare Analytics Through Research.

Area of Science:

• Healthcare Big Data Analytics
• Clinical Research Informatics
• Data Management in Medicine

Background:

• Big Data's impact on healthcare research is defined by volume, veracity, and variety.
• The OnetoMap meta-data repository was developed in collaboration with the University of South Florida's Department of Surgery.

Purpose of the Study:

• To create a centralized inventory of healthcare databases for efficient researcher access.
• To enable researchers to locate and link relevant datasets for improved study design and outcomes.

Main Methods:

• Developed a meta-data repository detailing database purpose, variables, and research applications.
• Utilized standardized criteria (data type, source, collection methods) for dataset descriptions.
• Hosted the repository on GitHub for version control, collaboration, and open access.

Main Results:

• OnetoMap currently describes 49 datasets, with ongoing expansion.
• Datasets encompass cross-sectional and longitudinal data from claims, registries, EHRs, and surveys.
• Search functionalities and categorization enhance dataset findability.

Conclusions:

• The repository facilitates nuanced interventions and addresses complex healthcare needs by providing comprehensive patient, socioeconomic, and practice data.
• OnetoMap promotes interdisciplinary research and accelerates discoveries through centralized, diverse data access.
• Future enhancements include automatic updates, dataset linkage, and collaborative tools to further advance healthcare outcomes research.