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|Fundamentals of Research Software Sustainability
|Daniel S. Katz
|May 8 2019
|Daisy Bingham Room
|Software sustainability means different things to different groups of people, including the persistence of working software, and the persistence of people, or funding. While we can generally define sustainability as the inflow of resources is sufficient to do the needed work, where those resources both include and are somewhat transferrable into human effort, users, funders, managers, and developers (or maintainers) all mean somewhat different things when they use sustainable in the context of research software. This talk will illustrate some of these different views, and their corresponding aims. It will also provide some guidance on quantifying research software sustainability from some of these views.
|Building Communities of Practice around Environmental Open Data Science
|May 8 2019
|Environmental scientists are a diverse community that ranges from climatologists to geneticists, but we are united by an enormous need to work efficiently with data – and by the fact that we seldom have formal computing or data analysis training of any kind. There is great opportunity to borrow from the work of software engineers and use collaborative open tools that facilitate better science in less time. However, a fundamental shift is needed in the environmental science community that prioritizes data science and provides emerging scientific leaders training in open science tools and practices to strengthen and accelerate their work. I will discuss my work to catalyze this shift through two programs I have developed and lead at the National Center for Ecological Analysis and Synthesis (NCEAS) at the University of California at Santa Barbara. The first is the Ocean Health Index training program, which teaches international government and academic scientists how to channel the best available scientific information into marine policy using our scientific method and tools. And the second I have recently launched in January 2019 as a Mozilla Fellow: Openscapes, a mentorship program that empowers environmental scientists with open data science tools and grows the community of practice.
|Qualitative Research Using Open Source Tools
|Beth Duckles & Vicky Steeves
|May 8 2019
|Qualitative research has long suffered from a lack of free tools for analysis, leaving no options for researchers without significant funds for software licenses. This presents significant challenges for equity. This panel discussion will explore the first two free/libre open source qualitative analysis tools out there: qcoder (R package) and Taguette (desktop application). Drawing from the diverse backgrounds of the presenters (social science, library & information science, software engineering), we will discuss what openness and extensibility means for qualitative research, and how the two tools we've built facilitate equitable, open sharing.
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