November 30, 12:35 PM

Publishing your software

This tutorial is intended for data analysts and statisticians who regularly develop software as part of their research. It will introduce approaches to writing a publication that describes research software, with a particular focus on R packages. While the examples and discussion will centre on R, the principles are broadly applicable to software developed in other programming languages. The tutorial will combine short presentations with both group and individual activities to help participants begin drafting a publication about their own software. Background: Participants should have a working knowledge of R and be familiar with the concepts presented in Advanced R. Ideally, they will have already developed an R package and made it publicly available, for example through CRAN or GitHub. The tutorial is also well suited to research students who are beginning to develop and disseminate research software.

Fonti Kar

[Fonti Kar](https://fontikar.github.io) is a Lecturer at the Monash Business School and has a background in evolutionary ecology and biology and open-source tool building. She likes to wrangle big, biodiversity data to aid conservation decisions. Fonti is passionate in the learning new skills in R/Quarto and sharing it with others. She is one of the co-chairs for the Statistical Computing and Data Visualisation chapter of the Statistical Society of Australia. Fonti was the founder of UNSWcodeRs - a student and staff run R user community at the University of New South Wales where she completed her PhD and her first postdoctoral role. She is an advocate for openness, in science and in code. She has developed numerous software to support ecological research and maintains the R package 'austraits'.

Dianne Cook

[Dianne Cook](https://www.dicook.org), a Professor of Statistics at Monash University in Melbourne, Australia, is a global leader in data visualisation. She has delivered over 100 invited talks internationally and published extensively on various aspects of data visualisation. Dr. Cook is a Fellow of the American Statistical Association, an elected member of the International Statistical Institute, past editor of the Journal of Computational and Graphical Statistics, and the R Journal. She has served as a Board Member of the R Foundation and is currently the co-chair of the Statistical Computing and Visualisation Section of the [Statistical Society of Australia](https://www.statsoc.org.au).