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Scientists are confronted with significant data-management problems due to the large volume and high complexity of scientific data. In particular, the latter makes data integration a difficult technical challenge. In this paper, we describe our work on semantic mediation and scientific workflows, and discuss how these technologies address integration(More)
enabled geoscientific communities to process and download large LiDAR (Light Distance And Ranging), or ALSM (Airborne Laser Swath Mapping) datasets. The products-digital elevation models (DEMs)-are essential representations of the landscape that are imported to various off-the-shelf geoscientific tools. Initially, the GLW utilized the regularized spline(More)
The Geosciences Network (GEON) project is a large-scale collaborative effort aimed at creating cyberinfrastructure for the Earth Sciences. GEON focuses on consistent representation, query access, integration and analysis of multiple semantically-different distributed spatial datasets. The paper will demonstrate knowledge-based integration of heterogeneous(More)
[This is the second of a two-part article. The first part appeared in the March 2000 issue of D-Lib Magazine. Part 1 described persistence issues and provided a generic description of the scalable technology for managing media and context migration.] Abstract "Collection-Based Persistent Digital Archives: Part 2" describes the creation of a one million(More)
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Geosciences Network (GEON) is a grand-challenge project to prototype cyberinfrastructure for the Earth Sciences. GEON is building a mechanism for integration and visualization of seismic events and their related fault orientations-referred by seismologists as focal mechanisms (or "beach balls") with other image (map) services using a service oriented(More)
embedding cyberinfrastructure in the form of large scale observatories into the environment. This cyberinfrastruc-ture also extends into the lab, providing the scientist with tools to analyze and curate data at unprecedented spatio-temporal scales. To date, however, little work has focused on extending the cyberinfrastructure to the scientist while in the(More)
Improved approaches and methodologies are needed to conduct comparative effectiveness research (CER) in oncology. While cancer therapies continue to emerge at a rapid pace, the review, synthesis, and dissemination of evidence-based interventions across clinical trials lag in comparison. Rigorous and systematic testing of competing therapies has been clouded(More)