Data Modeling & Discovery Best Practices

  • Updated

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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