🧺 Fresh Warm Laundry
Cozy!
Welcome to the eighty sixth ever issue of Monday Morning Data Science from the Fred Hutch Data Science Laboratory. We are excited to show you what we have been working on (Fresh from the Lab), plus links that we think you would be interested in (Our Weekly Bookmarks Bar). Part of the purpose of this newsletter is to start conversations, so if you have a question or there is something you would like to share with us please let us know by responding directly to this email.
Fresh from the Lab
[Podcast: More than Numbers] In this episode of "Cracking the Cancer Code," Dr. Carrie Wright and Candace Savonen explore advancements in cancer informatics, focusing on the analysis of free text clinical and imaging data. Experts Dr. David Hanauer and Dr. Gordon Harris discuss the tools and technologies, such as EMERSE and standardized imaging workflows, aimed at improving cancer data utilization for research and clinical care.
[Blog Post: Introducing Personas to Inform Biomedical Data Products] Fred Hutch has developed a collection of curated personas to better understand the needs, motivations, and workflows of staff engaging with data, software, and computing resources. These personas represent common roles, helping inform the development of tools like PROOF and CARDS, and are continuously updated based on community feedback.
Our Weekly Bookmarks Bar
[Blog Post: Cold-Blooded Software] Patrick Dubroy draws a parallel between cold-blooded animals, like the painted turtle, and certain software projects that can be "frozen" and resumed without breaking. Unlike "warm-blooded" projects that rely on constant updates and external dependencies, "cold-blooded" software uses stable, simple technology that can function reliably even after long periods of inactivity.
As always you can contact us by replying directly to this email, you can contact the Data Science Lab at data@fredhutch.org, or you are welcome to join us on the Fred Hutch Data Slack Workspace. For more information about the Fred Hutch Data Science Lab, visit our website: https://hutchdatascience.org/. See you next week!
- The Fred Hutch Data Science Laboratory