Strategy, Code of conduct & Contribution Guide #2946
Conversation
| **ATLAS** is an open source software tool for researchers to conduct scientific analyses on standardized observational data converted to the [OMOP Common Data Model V5](https://github.com/OHDSI/CommonDataModel/wiki "OMOP Common Data Model V5"). Researchers can create cohorts by defining groups of people based on an exposure to a drug or diagnosis of a particular condition using healthcare claims data. ATLAS has vocabulary searching of medical concepts to identify people with specific conditions, drug exposures etc. Patient profiles can be viewed within a specific cohort allowing visualization of a particular subject's health care records. Population effect level estimation analyses allows for comparison of two different cohorts and leverages R packages. | ||
| **ATLAS** is an open source software tool for researchers to conduct scientific analyses on patient-level healthcare data standardized to the [OMOP Common Data Model V5](https://ohdsi.github.io/CommonDataModel/ "OMOP Common Data Model V5"). Researchers can create cohorts by defining groups of people based on an exposure to a drug or diagnosis of a particular condition using healthcare claims data. ATLAS has vocabulary searching of medical concepts to identify people with specific conditions, drug exposures etc. More information on ATLAS is found in [Chapter 8 in the Book of OHDSI](https://ohdsi.github.io/TheBookOfOhdsi/OhdsiAnalyticsTools.html). | ||
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| The vision for ATLAS is to provide a common set of study design tools that are capable of running one or more [HADES](https://ohdsi.github.io/Hades/) analytical R packages. |
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Another vision/thought on this: ATLAS is a design tool that supports the OHDSI communities standards & best practices for designing observational studies.
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| ## 2. Who are the project's users? | ||
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| ATLAS/WebAPI's users are researchers (individuals and teams) who want to design cohort definitions. They will then use these cohort definitions to run analytics to perform characterization, and population-level effect estimation and patient-level prediction for these populations of patients. |
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Clean up grammar and remove for these populations of patients
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| ## 3. How do you engage with your user base today? | ||
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| Users of ATLAS are encouraged to participate in the [ATLAS/WebAPI Working group](https://www.ohdsi.org/workgroups/). |
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Call out the OHDSI forums and link to forums.ohdsi.org.
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Also add a note about forming a new working group focused on the users of this tool in 2025.
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| - **ATLAS for phenotype development and evaluation**: ATLAS will provide a cohesive set of features for phenotype development and storage. | ||
| - **ATLAS for study design and execution via Arachne & Strategus**: currently cohorts are the only reusable element of design that is produced by ATLAS for consumption in Strategus. We should aim to make all of the Strategus HADES modules available for design in ATLAS. We should also have a documented solution for running Strategus via Arachne integrated with ATLAS. | ||
| - **Modernize the application stack**: ATLAS/WebAPI has fallen behind on some core libraries which require prioritization to fix. |
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Add some information on the future roadmap as discussed in the ATLAS WG.
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| ## 7. Who are your key stakeholders? | ||
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| Researchers who want to design observational studies using the OMOP CDM. |
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What is a stakeholder? A person with an interest or concern in something, especially a business.
"Organizations that are contributing resources towards maintaining and improving the functionality of ATLAS through collaboration in OHDSI"
Note here: maybe describe the high-level stakeholders - pharma companies, service providers, academic institutions, etc.
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| ## Development Setup | ||
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| To set up the development environment for OHDSI Atlas, follow the instructions in the [development setup guide](link-to-development-setup). |
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Note to self: put together a developer setup guide.
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| ## Coding Guidelines | ||
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| Please adhere to the [coding guidelines](link-to-coding-guidelines) when contributing code. These guidelines help maintain a consistent codebase and ensure readability. |
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Pending work will introduce an editor.config which will detail code styling.
Initial draft for review of #2903