Save Our Sisyphus Challenge - Candidate Questions
The task of taking a research study from idea through design through execution through publication can seem a daunting challenge, much like rolling a boulder up a hill. That task is all the more challenging when researchers try to go it alone, as each step requires a distinct set of skills. Observational study design requires epidemiologic understanding and statistical methodological expertise. Implementing a study design requires statistical programming ability.  Interpreting and reporting results requires domain knowledge of the clinical problem.

But when you are part of the OHDSI community, you never have to go it alone. And as a team effort, what seems an arduous task can become an efficient and effective process.

We are seeking important research questions that you want to contribute and participate in to take from idea to publication.  The OHDSI community will provide support through every step of the process, working with you to design an appropriate protocol, implement a network analysis package, execute across OHDSI data partners, and prepare a manuscript for publication.  Our goal is to collaboratively complete this network study over the course of 8 weeks across April and May, using the open-source tools and process that OHDSI has established.  
Based on the community input, we have identified four potential network studies that we can carry forward during the Sisyphus Challenge.  Now it is time to determine who in the community is interested in collaborating and contributing to take these questions from good ideas to reliable real-world evidence.

Please complete this form by 11:59pmET on Tuesday, March 21.  Based on the feedback we receive, we will kick off the SOS Challenge the following week on Tuesday, March 28.

We look forward to collaborating with you on this SOS challenge.
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Email *
Name (Last, First) *
Organization *
What SOS Challenge research questions are you interested in collaborating on? *
Required
Which aspects of the network study process are you interested in contributing to? *
Required
Will you participate as a data node in this network study?   e.g. you have access to patient-level database in OMOP CDM format and can execute R scripts and share aggregate summary results. *
If yes, please list the database(s) that you may use as a data partner ?
Please share any other comments or questions you may have.
A copy of your responses will be emailed to the address you provided.
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