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development:overview [2015/02/20 18:08] – leedevelopment:overview [2017/07/07 18:16] (current) – [Software] frank_defalco
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 The OHDSI developer community is committed to the development of open-source, high-quality, and easy to use tools for making the most out of observational health data. The OHDSI developer community is committed to the development of open-source, high-quality, and easy to use tools for making the most out of observational health data.
 +  * [[documentation:software:ohdsi-in-a-box|OHDSI-In-A-Box]]: a virtual machine loaded with the entire OHDSI Stack for educational use
 +  * [[development:architecture|Architecture Overview]]: visual overview of the major components of the OHDSI technology stack
 +  * [[development:data_architecture|Data Architecture]]: describes conventions of storing and processing data within the OHDSI architecture
 +  * [[development:security|Security]]: describes the security layer used in the OHDSI applications (Shiro)
 +  * [[development:guidelines|Developer Guidelines]]: discusses approaches to software development adopted by the OHDSI community
 +  * [[development:roadmap|Architecture Roadmap]]: lays out the evolution of the architecture over time
  
-  * [[development:guidelines|Developer Guidelines]] 
-  * [[development:architecture|Architecture Overview]] 
-  * [[development:release schedule|Release Schedule]] 
-  * [[development:issue tracker|GitHub Issue Tracker]] 
-  * [[development:WebAPI|WebAPI services]] 
  
-====== SQL type of code ====== +===== Methodology =====
- +
-  * [[development:SQL|Parametized SQL]] +
- +
-==== Methodology ====+
  
 OHDSI Methodology developers comprise experts in the fields of epidemiology, biostatistics, computer science, and clinical research who are committed to creating and validating high-quality methods for observational data research. OHDSI Methodology developers comprise experts in the fields of epidemiology, biostatistics, computer science, and clinical research who are committed to creating and validating high-quality methods for observational data research.
  
 +  * [[development:best practices estimation|Best Practices for Estimating Population-Level Effects]]
  
development/overview.1424455724.txt.gz · Last modified: by lee

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