The Harvest framework integrates data from multiple clinical and research-focused sources to generate a cohesive view of a patient relative to a therapeutic area. Designed by and for biomedical researchers, Harvest is an open source toolkit for building web applications for integrating, discovering, and reporting data that addresses the unique needs of biomedical researchers.
Researchers require tools that scale with this increase without added complexity. To address this need we have developed Harvest, an open source framework for rapid development of purpose-built data discovery web applications.
Read the paper published online October 16, 2013 in the Journal of the American Medical Informatics Association.
Harvest was designed to alleviate the opaqueness of complex data models and large data sets and assists researchers with:
- Integration of genomic, imaging, research, and clinical endpoints
- Dynamic querying engine with visualizations
- Hypothesis-driven exploration of data
Harvest implements an HTML5 web interface supported by a collection of discoverable REST APIs.