ESIP Information Quality Cluster (IQC) has been collaborating with national and international domain experts on a number of fronts that are associated with representing data quality information in a consistent way, ranging from capturing data uncertainty information in NetCDF file-level metadata, providing IQC perspectives on citizen science data, and developing community guidelines for curating FAIR dataset quality information. Doing so will not only improve the maturity of underlying data, but also help enable the sharing of both data and quality information. Community adoption of practices for improving data quality information also will offer new opportunities for users to determine whether data products and services can be used for particular purposes and foster the use of such data.
In this session, we will share with the ESIP community on the current status of those efforts and obtain feedback from the community.
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