This guide explores the topic of data modeling and provides best practices from the Customer Success Team on how to translate your science, processes, and samples into a representative framework that can be translated into Benchling. The full Best Practice Guide is attached at the bottom of the article.
Data Modeling & Discovery best practices index
Key topics explored in the attached Best Practices Guide:
- Registry + Inventory + Results Comparison (previewed below)
- Comparing types of Entity Relationships
- Best Practices for Handling Data Model Complexity
- Best Practices for using Child Entities
- Best Practices for Naming Strategies and Registry IDs
- Benefits & Tradeoffs of Schema Design Strategies
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