Community Call v12 - How do I create a code of conduct for my event/lab/codebase?

Stefanie Butland  


October 31, 2016

In order to facilitate a transformation towards open and reproducible research, rOpenSci is building and improving not only the technical infrastructure, but the social infrastructure as well. To support this, occasionally a Community Call will focus on a topic that reflects the values of rOpenSci. The first of these, on Thursday, December 15th, 8-9 AM PST, will be on “How do I create a code of conduct for my event/lab/codebase?”.

Agenda

  1. Welcome (5 min, Stefanie Butland)
  2. Pauline Barmby - Data/Software Carpentry’s new code of conduct (5-10 min)
  3. Safia Abdalla - Codes of conduct for open source: the stuff no one tells you (5-10 min)
  4. C. Titus Brown - How we developed our Lab Code of Conduct (5-10 min)
  5. Discussion (15 min, moderated by Karthik Ram)
  6. Solicit ideas for Community Calls (5 min, Stefanie)

Details for joining the Community Call

After the call, we’ll post the video and archive the notes along with any links to resources.

Speaker bios

Safia Abdalla is a data scientist and software engineer with an interest in open source software and data science for social good. She helps build nteract, a NumFOCUS fiscally sponsored open source project, and organizes PyData Chicago. Safia has written about codes of conduct in How To Create A Welcoming and Inclusive Open Source Space. Safia on GitHub

Pauline Barmby is an Associate Professor in Physics and Astronomy and Associate Dean of Graduate and Post Doctoral Studies at Western University. Her research focuses on nearby galaxies and her blog contains musings about astrophysics, science teaching, computing, and perhaps knitting, curling, and science fiction. Pauline is the head of Data/Software Carpentry’s code of conduct committee and will talk about their experiences in refining their code to ensure it has enforceable consequences. Pauline on GitHub

C. Titus Brown is an Associate Professor at UC Davis, where his Lab for Data Intensive Biology tackles questions surrounding biological data analysis, data integration, and data sharing. The lab’s primary interest is in genomic, transcriptomic, and metagenomic sequence analysis. Titus has developed a Lab Code of Conduct He recently wrote about What is open science? Titus on GitHub


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