NASA’s collection in the CMR is currently comprised of approximately 7,000 datasets (or collections). Each collection metadata record, as well as one randomly selected file level metadata record (or granule) per collection, are assessed for quality against a set of quality criteria. These assessments are conducted via a combination of automated and manual methods.
ARC has developed a metadata quality framework to systematically assess metadata records. This framework identifies quality criteria which helps ensure consistent reporting, and also provides transparency of the assessment process to the DAACs. This framework is documented in the Earthdata wiki, and provides a baseline from which to generate quantitative metadata quality metrics to demonstrate DAAC improvements.
The ARC team has established a collaborative approach for improving metadata quality and contributing to the broader MQ community by:
The ARC Team was recently awarded the Group Achievement Honor Award at the 2019 Marshall Space Flight Center Honor Award Ceremony.
ARC is in the process of writing a paper describing the metadata quality framework developed for the project with plans to submit the paper to Data Science Journal for peer review in early 2021.