PaNOSC search scoring
It illustrates how the Scoring service is designed, how to deploy it and integrate it with the local data catalogue system and the PaN Search api. Finally, it contains a demonstration of the Scoring service packaged in Jupyter Notebook with a SciCat data catalogue as an example. The score is computed locally at each facility level based on the information or dataset that are accessible only by the facility. All facility scoring results are then merged at the PaN Federated Search before exposing the results to the end-user query.
Keywords: expands, PaNOSC, scoring
Resource type: github
Target audience: PaN Community, ExPaNDS and PaNOSC project members, data curator, data managers, research data engineer
Difficulty level: Easy