The goals of the Information Quality Cluster (IQC) as expressed in the Strategic Plan are: Bring together people from various disciplines to assess aspects of quality of Earth science data Establish and publish baseline of standards and best practices for data quality for adoption by inter-agency and international data providers Build framework for consistent capture, harmonization, and presentation of data quality for the purposes of climate change studies, Earth science and applications Moving towards these goals, the IQC has been collecting use cases to help identify issues and analyze them to arrive at recommendations for improvements in capturing, describing, enabling discovery and facilitating use of data quality information. The purpose of this session is to focus on analysis of several use cases. A brief introduction will be provided to familiarize new attendees with the IQC, use cases and the analysis process. The number of use cases analyzed will depend on the attendance at the session and the number of breakout groups that can be formed. The use cases to be examined will be pre-analyzed at a very high-level to identify the technical scope and scientific theme of each use case. This will allow for the session attendees who may have relevant expertise to provide more relevant and useful insights to the use case evaluation process. The use cases being reviewed will cover a variety of technical themes including: search ranking/relevancy, metadata, flags/indicators, data processing, subsetting, and uncertainty. The Earth science themes will generally be very broad to cover most of the science disciplines being studied using satellite remote sensing, airborne, and in situ data.
