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Any question related to real-world data may be answered in a style similar to stack overflow.

Every organisation has internal documents of learnings and best practices for conducting research with real-world data. This could take the form of database quirks, standard cohort definitions and preferred algorithms. There is currently no open-source alternative to the internal documents, which leads to duplicated errors, slower learning at the individual level and slower advancement of real-world evidence at the industry level.

Having an open-source option for these learnings to be recorded and shared will lead to less duplication of effort, faster evolution of the real-world evidence space, and ultimately better insights for participants and patients. Stakeholders include data vendors, pharma and any other entity that uses real-world data.