DataTalks.Club

Doing Software Engineering in Academia - Johanna Bayer

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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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