Why we need Research Software Engineers for Reproducible Research ๐ค
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Today I want to share with you why I believe we need research software engineers (RSEs) for open and reproducible research. I am a trainer for open science and reproducible research. I help researchers by giving them achievable steps that they can take in order to make their work more open and reproducible. Sometimes I show them, which tools I use for making my work open and reproducible... ... but I cannot do that with all researchers as for most it would be overwhelming and frustrating, as my toolkit is quite technical. Now, what I would suggest, is that we don't make all researchers learn all this stuff. They have enough on their plate. Instead we should introduce/grow a new kind of research staff to help with these kinds of computational issues: research software engineers (RSEs). RSEs make research better by:
Further reading
Upcoming RSE eventsMunich, Germany in a few days: RSE Munich Meetupโ Jena, Germany in September: deRSE unconferenceโ Other: check your local RSE associations's website โ That's all for today ๐ All the best, Heidi โ P.S. Check out this exciting event on research assessment (that I am moderating), both online (Zoom) and in-person (LMU Munich). For details, see the website of the LMU Open Science Center. P.P.S. Enjoyed this newsletter issue? You can help me a lot by sharing it with your colleagues or your social media followers! Optimally with the sign-up link ๐. |
Heidi Seibold, MUCBOOK Clubhouse, Elsenheimerstr. 48, Munich, 81375 |
Dr. Heidi Seibold
https://heidiseibold.com
All things open and reproducible data science.
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