Over the last year, the Discovery Cluster has been developing an innovative search paradigm called Usage-Based Discovery (UBD). UBD allows users to examine the datasets used in applications and research similar to the user’s own purpose. The database underpinning UBD needs a robust population of dataset-usage relationships. Please join us in providing relationships in real-time that will serve as a core population. These high quality relationships will also serve as training data for further machine-learning-based harvesting. Training, examples, and coaching will be provided to participants.
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