Doing Software Engineering in Academia - Johanna Bayer

We talked about:

• Johanna’s background
• Open science course and reproducible papers
• Research software engineering
• Convincing a professor to work on software instead of papers
• The importance of reproducible analysis
• Why academia is behind on software engineering
• The problems with open science publishing in academia
• The importance of standard coding practices
• How Johanna got into research software engineering
• Effective ways of learning software engineering skills
• Providing data and analysis for your project
• Johanna’s initial experience with software engineering in a project
• Working with sensitive data and the nuances of publishing it
• How often Johanna does hackathons, open source, and freelancing
• Social media as a source of repos and Johanna’s favorite communities
• Contributing to Git repos
• Publishing in the open in academia vs industry
• Johanna’s book and resource recommendations
• Conclusion

Links:

• The Society of Research Software Engineering,  plus regional chapters: https://society-rse.org/
• The RSE Association of Australia and New Zealand: https://rse-aunz.github.io/
• Research Software Engineers (RSEs) The people behind research software: https://de-rse.org/en/index.html
• The software sustainability institute: https://www.software.ac.uk/
• The Carpentries (beginner git and programming courses): https://carpentries.org/
• The Turing Way Book of  Reproducible Research: https://the-turing-way.netlify.app/welcome

Free data engineering course: https://github.com/DataTalksClub/data-engineering-zoomcamp

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