Ensemble is a National Science Digital Library project for computing education communities to share and discuss digital educational materials through a distributed portal to existing collections, maintaining curation at each collection.

The focus of this project is hybrid stream-archive query processing. Data stream processing is interesting and has been well studied; however, to take full advantage of data streams, one must be able to combine and correlate information in those streams with archived historical data. This project aims to find efficient mechanisms for combining stream data with 'similar' data from the archive. Techniques being investigated include porthole queries and adaptive access.

We believe that data management systems of the future must stress data movement over data storage. NIAGARA is an initial effort, conducted with the University of Wisconsin, to move beyond disk-centric data management to net-centric systems. It emphasizes handling richer structures of data, such as XML, and incremental, stream-based processing of data.

This projects looks at streams containing missing data and will explore various mechanisms to deal with them. As a motivating scenario, we collaborate with the PORTAL ADUS and look at traffic data streams from Inductlive Loop Detectors installed on the the Portland, Oregon Metropolitan Area Freeway system.

The Superimposed Pluggable Architecture for Contexts and Excerpts (SPARCE) is a middleware architecture for superimposed information management.