SOCR data dashboard: an integrated big data archive mashing medicare, labor, census and econometric information

Area of Science:

• Data Science
• Bioinformatics
• Health Informatics

Background:

• Challenges in querying big, complex, and heterogeneous datasets.
• Increasing difficulty in data exploration and discovery with ubiquitous data collection.
• Necessity of exploring multi-source information for knowledge advancement.

Purpose of the Study:

• To develop a mechanism for integrating dispersed multi-source data.
• To provide secure, scalable human and machine interfaces for data services.
• To facilitate the exploration of subtle associations within complex datasets.

Main Methods:

• Developed a platform integrating dispersed multi-source data.
• Implemented secure and scalable data integration and service mechanisms.
• Created a device-agnostic Dashboard web application for graphical querying and exploration.

Main Results:

• Demonstrated functionality using healthcare data (Census, BLS, CMS) and Parkinson's Disease neuroimaging data.
• Showcased the ability to explore multivariate associations in heterogeneous datasets.
• Highlighted continuous expansion of data elements and customization of interfaces.

Conclusions:

• A client-side utility enables intuitive integration of user-supplied datasets.
• The open-science framework supports exploratory and confirmatory analyses, meta-analyses, and education.
• The platform is versatile for various scientific and training fields.