A platform for users to collaborate, shape ADRF improvements, and foster a community of practice by:

• Sharing Knowledge – Building community events and a resource hub to support common best practices. 
• Problem-Solving – Identifying and resolving data or technology challenges.
• Enhancing ADRF – Providing user-driven feedback to improve features and services.

About The Coding Best Practices Series: Effective data analysis requires both a strong understanding of the programming language needed to complete the analysis and adherence to coding best practices that ensure efficiency, scalability, and maintainability. In these series, we will delve into the essential best practices for coding in modern data analysis, with a specific focus on the Administrative Data Research Facility (ADRF). The series will offer insights on how to optimize coding practices to make data accessible and understandable for policymakers. From code modernization efforts to enhancing the user experience for ADRF users, we will explore various strategies to improve the utilization of the platform.

Materials from the previous online community events (Coding in R, RStudio, version control in Git and Coding in SQL, DBeaver, and memory management) are available inside the ADRF.

Examples of coding best practices reference materials include:

• Video on creating database diagram in DBeaver
• Writing robust code and organizing code checklist
• Video on creating R package with functions, testing, automated documentation
• Video on using code snippets in RStudio
• OpenAI API code in Python
• Coding best practices for modern data analysis (recording, slide deck)
• Coding in R/RStudio and version control in Git (recording, slide deck, resources)
• Coding in SQL, DBeaver, and memory management (recording, slide deck, resources)

Please reach out to community@coleridgeinitiative.org for more information about accessing these materials.