Skip to main content
Loading

[Data Quality Topic] Enabling data dogfooding: how to ensure data re-use

26 Sep 2024
Sonoma
Drug Response Prediction
[Data Quality Topic] Enabling data dogfooding: how to ensure data re-use
  • How can we capture data with model building and reuse in mind?
  • What are the best practices for mapping, harmonizing, and combining internal and external data sets for analytics and ML model training?
  • What role do ontologies play in data harmonization?
  • How can organizations assess the quality of both internal and external/public data and build trust in using this data for ML model training?
Industry Expert
Eric Gilbert, Life Sciences Consultant - Elsevier Professional Services