Efficiently supporting secure and reliable collaboration in scientific workflows
Journal of Computer and System Sciences
A provenance-based approach to resource discovery in distributed molecular dynamics workflows
RED'09 Proceedings of the 2nd international conference on Resource discovery
Review: interactive knowledge capture in the new millennium: How the semantic web changed everything
The Knowledge Engineering Review
Evaluating cloud computing in the NASA DESDynI ground data system
Proceedings of the 2nd International Workshop on Software Engineering for Cloud Computing
A cloud-enabled regional climate model evaluation system
Proceedings of the 2nd International Workshop on Software Engineering for Cloud Computing
Management and storage of in situ oceanographic data: An ECM-based approach
Information Systems
Time-bound analytic tasks on large datasets through dynamic configuration of workflows
WORKS '13 Proceedings of the 8th Workshop on Workflows in Support of Large-Scale Science
Supporting Scientific Collaboration: Methods, Tools and Concepts
Computer Supported Cooperative Work
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Scientific workflows—models of computation that capture the orchestration of scientific codes to conduct in silico research—are gaining recognition as an attractive alternative to script-based orchestration. Even so, researchers developing scientific workflow technologies still face fundamental challenges, including developing the underlying science of scientific workflows. You can classify scientific-workflow environments according to three major phases of in silico research: discovery, production, and distribution. On the basis of this classification, scientists can make more-informed decisions regarding the adoption of particular workflow environments.