data-resource-evaluation

Automating data resource evaluation involves capturing required metadata, dispatching evaluation messages to owners via infoflow_send, and syncing records into a knowledge base for traceable persistence. This workflow handles both resource exchanges and data vendor leads end-to-end.

Yes, you can schedule follow-up reminders for data vendor leads evaluations using optional cron-based reminders. This ensures evaluations remain on track by automatically prompting designated owners until the evaluation cycle completes.

Managing data resource evaluation documents across ecosystem cooperation is best handled through automated knowledge base synchronization and document management via ku-doc-manage. This persists evaluation records and maintains traceability across related resource exchange documents.

Yes, the data resource evaluation workflow supports role-based routing for sending notifications. It applies fail-fast configuration checks to validate routing paths before dispatching evaluation messages to designated owners.

To start a data resource evaluation workflow, you need to provide the required evaluation details, such as resource exchange or data vendor lead metadata, and confirm submission to trigger data collection, message dispatch, and knowledge base syncing.

Your data resource evaluation submission may fail before sending notifications due to fail-fast configuration checks. These checks validate required metadata and routing paths upfront, stopping the workflow early if essential configuration is missing or invalid.