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1. Open Science 🧪 (openscience@mastodon.social)'s status on Monday, 28-Nov-2022 13:10:10 UTC Open Science 🧪

   in reply to

   • MarkKelson
   • Peter Tennant, PhD

   @pwgtennant @MarkKelson I can agree with that. I think the inspection tools have a big effect. I think that if code has been sighted by more than one person, preferably by an outsider and along with some useful comments, it will be comprehensible to most readers.

   • Peter Tennant, PhD (pwgtennant@fediscience.org)'s status on Monday, 28-Nov-2022 13:10:18 UTC Peter Tennant, PhD

     in reply to

     • MarkKelson

     @openscience @MarkKelson Sometimes I find 'efficient' code extremely difficult to read and understand, whereas repetitious code can be a lot clearer... 🤔

   • Open Science 🧪 (openscience@mastodon.social)'s status on Monday, 28-Nov-2022 13:10:28 UTC Open Science 🧪

     in reply to

     • Peter Tennant, PhD

     @pwgtennant
     imho; Well it's not a requirement, however clarity facilitates understanding and reusability, thereby increasing value. Whether the repetition of program lines makes the biggest difference is of course debatable

   • Peter Tennant, PhD (pwgtennant@fediscience.org)'s status on Monday, 28-Nov-2022 13:10:36 UTC Peter Tennant, PhD

     in reply to

     • MarkKelson

     @openscience @MarkKelson is repetition of code seen as bad for open science?! Sometimes it's technically challenging to use a loop!

   • Peter Tennant, PhD (pwgtennant@fediscience.org)'s status on Monday, 28-Nov-2022 13:10:45 UTC Peter Tennant, PhD

     in reply to

     • MarkKelson

     @openscience @MarkKelson I think you can always assume 'yes' is the answer to this question 🤣

   • Open Science 🧪 (openscience@mastodon.social)'s status on Monday, 28-Nov-2022 13:10:54 UTC Open Science 🧪

     in reply to

     • MarkKelson

     @MarkKelson would you like this to be boosted?

   • MarkKelson (markkelson@mastodon.social)'s status on Monday, 28-Nov-2022 13:11:02 UTC MarkKelson

     Nice paper on the availability of statistical code in European Urology papers. And a checklist to get us all thinking about how good the code we share is. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6705117/ #OpenScience #Reproducibility