Data Analysis Use Cases

These use cases describe how scientists analyze large amounts of scientific data. The data is typically large in volume (larger than one would use on a personal or business computer), but is organized and stored in different ways for different kinds of research. Data might be generated by a single source (a large simulation, for example) or it might come from many sources (observational results from many different instruments or different research teams). The methods of analysis also vary from field to field and problem to problem.

 

(7 use cases)
Use Case ID Title Use Case Description
DA-01 Discover data analysis resources and documentation
DA-02 Prepare data for analysis
DA-03 Analyze data from research instruments
DA-04 Analyze data generated by a simulation
DA-05 Steer a large computation while it runs
DA-06 Time-critical data analysis
DA-07 Run an interactive data science application using a community resource for back-end computation

 

(7 use cases)
Use Case ID Title Use Case Description
DA-01 Discover data analysis resources and documentation
DA-02 Prepare data for analysis
DA-03 Analyze data from research instruments
DA-04 Analyze data generated by a simulation
DA-05 Steer a large computation while it runs
DA-06 Time-critical data analysis
DA-07 Run an interactive data science application using a community resource for back-end computation