Abstract
In Phase I of the project, a scalable, web-based viewer and query system for large scientific images and tabular data was developed. In Phase II, novel query and analysis mechanisms are added to extract insights from large, diverse collections of scientific datasets. Furthermore, the visualization capabilities are extended with scalable web viewers for other common scientific data types. Support for scientific workflows and versioning is added to guarantee repeatability of analyses. The platform is hardened by including security, testing, and auditing features. The final platform has the potential to reshape scientific collaborative work in data-intensive domains and may lead to new insights and discoveries in life sciences, materials science, and other related disciplines.
View more details at the SBIR Website (Contract: DE-SC0018550).