Enterprise information mashups: integrating information, simply
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Pegasus: A framework for mapping complex scientific workflows onto distributed systems
Scientific Programming
Trident: Scientific Workflow Workbench for Oceanography
SERVICES '08 Proceedings of the 2008 IEEE Congress on Services - Part I
End-to-End Cyberinfrastructure for Real-Time Enviornmental Decision Support
ESCIENCE '08 Proceedings of the 2008 Fourth IEEE International Conference on eScience
Publishing Active Workflows to Problem-Focused Web Spaces
ESCIENCE '08 Proceedings of the 2008 Fourth IEEE International Conference on eScience
Finding haystacks with needles: ranked search for data using geospatial and temporal characteristics
SSDBM'11 Proceedings of the 23rd international conference on Scientific and statistical database management
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Mashups are gaining popularity as a rapid-development, re-use-oriented programming model to replace monolithic, bottom-up application development. This programming style is attractive for the "long tail" of scientific data management applications, characterized by exploding data volumes, increasing requirements for data sharing and collaboration, but limited software engineering budgets. We observe that scientists already routinely construct a primitive, static form of mashup--an ensemble of related visualizations that convey a specific scientific message encoded as, e.g., a Powerpoint slide. Inspired by their ubiquity, we adopt these conventional data-product ensembles as a core model, endow them with interactivity, publish them online, and allow them to be repurposed at runtime by non-programmers. We observe that these scientific mashups must accommodate a wider audience than commerce-oriented and entertainment-oriented mashups. Collaborators, students (K12 through graduate), the public, and policy makers are all potential consumers, but each group has a different level of domain sophistication. We explore techniques for adapting one mashup for different audiences by attaching additional context, assigning defaults, and re-skinning component products. Existing mashup frameworks (and scientific workflow systems) emphasize an expressive "boxes-and-arrows" abstraction suitable for engineering individual products but overlook requirements for organizing products into synchronized ensembles or repurposing them for different audiences. In this paper, we articulate these requirements for scientific mashups, describe an architecture for composing mashups as interactive, reconfigurable, web-based, visualization-oriented data product ensembles, and report on an initial implementation in use at an Ocean Observatory.