Recommended Quality Views Documentation

members: Christopher Lynnes, Stephan Zednik, Suraiya Ahmad, Richard Strub, Peter Fox

description: Document recommended quality views from science teams

Ontology Reuse Study

members: Christopher Lynnes, Peter Fox, Stephan Zednik

description: Examine existing ontologies and markup language schemata for terms and relationships that can be appropriated for Data Quality Screening.

Ontology Modeling

members: Christopher Lynnes, Peter Fox, Stephan Zednik, Robert Wolfe, Bruce Vollmer, Thomas Hearty, Young-In Won, Mahabaleshwara Hegde, Richard Strub, Ali Rezaiyan-Nojani

description: Develop Ontology model to support Data Quality Screening Service.

Quality Visualization

members: Thomas Hearty, Young-In Won, Ed Olsen, Chris Lynnes

description: Develop a command-line visualization for AIRS quality that can be integrated into HTTP Services.

Quality Statistics

members: Thomas Hearty, Young-In Won, Ed Olsen, Chris Lynnes

description: Compute aggregate quality statistics for AIRS L2: for a given parameter, what percentage is Best, Good, Do Not Use.

Quality Case Studies

members: Thomas Hearty, Young-In Won, Ed Olsen, Chris Lynnes

description: Develop Quality Case Studies to demonstrate graphically to users the effect on science of applying--or not applying--proper quality filters.