Data-driven scientific applications utilize workflow frameworks to execute complex dataflows, resulting in derived data products of unknown quality. We discuss our on-going resear...
Enterprises often need to assess and manage the risk arising from uncertainty in their data. Such uncertainty is typically modeled as a probability distribution over the uncertain...
Peter J. Haas, Christopher M. Jermaine, Subi Arumu...
A simple extension to the relational model that permits metadata (more generally metaknowledge) to be stored and manipulated as first class data is proposed. The accompanying que...
Abstract: This paper introduces the Internet Operating Platform (IOP), an enterprise framework for large scale software development. In addition to obeying to important standards (...
Background: Tissue microarray (TMA) technology has been developed to facilitate large, genome-scale molecular pathology studies. This technique provides a high-throughput method f...
Archana Sharma-Oates, Philip Quirke, David R. West...