Scientific workflow moves CSSDP toward supporting real-time research

  • Graphically build workflows
  • Execute workflows on-demand or automatically
  • Improve reproducibility, reduce rote tasks
  • Produce data subsets or supersets
  • Workflows are another shareable (or private) asset
  • Implementing data markers
  • Automated, configurable pattern recognition
  • Including complex even processing and data mining

Data Analysis Automation

  • User-defined algorithms to filter, merge and transform data streams, yielding new data stream products and plot images.
  • The creation of portal-wide events (e.g., new data arrives) and the tagging of data with user- defined algorithms
  • Derived data, images, events and tags can be published back to the Portal for use by the research community. Access to these new products can be limited through Data Rights Management.