Complete, consistent, and easy to understand information about data products is critical for meeting data discoverability, improved accessibility and usability, and interoperability requirements.
In the BigData and Open Data Era, with ever increasing variety and number of data products, it becomes increasingly impractical to do so in a manual fashion. The most effective way to ensure the completeness and quality of metadata and description documents of data products is to curate them in a systematic, consistent, and automatic fashion based on standards, community best practices, and defined frameworks.
Efforts to meeting this goal have been carried out in various disciplines and projects. This session invites presentations to describe and share their work/progress with the ESIP community on systems, tools, frameworks, workflows, etc. that enable repositories/data centers to systematically generate and provide descriptive information about the data products to data users for improved discoverability, transparency, usability, and interoperability. Additionally this session will discuss gaps that still need to be addressed.
Draft Agenda - 15 mins each (presentation + Q&A)
