Open-Code

Debrief of SORTEE Code Club: Kickoff Meeting - Tuesday February 20

 

The Member Engagement Committee is breathing new life into the peer code review club: we will run Code Club every third Tuesday of the month. Time can vary depending on the host and will be announced at least two weeks in advance.

With 13 participants, we kicked off the first Code Club of 2024, learning how code review can make coding a more collaborative process in the scientific research cycle.

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Setting the record straight: how data and code transparency caught an error and how I fixed it

 

“We were unable to reproduce your results, and I think the reason is that there is a bug in how you are calculating your correlation coefficients.”

 

That was part of an email I got this summer that absolutely crushed me. It doesn’t take much empathy to feel that knot in your stomach and existential dread from imposter syndrome, especially if you are currently a graduate student, post-doc, or another early-career researcher. What happens when you or someone else catches an error post-publication is not something most scientists know, certainly none of my peers or advisors did, but I got to experience the process from a supportive group of colleagues, advisors, and journal editors. I’m not writing this piece to commiserate on the fears, anxieties, and setbacks we have as scientists, nor am I going to belabor the details of the analysis or the justifications/explanations of how I missed the error; I’m writing this because the larger picture of the scientific process, when aided by data transparency, works to make our collective knowledge better.

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