🐄 Cows in the Cornfield
What will I do?
Welcome to the one hundred and nineteenth 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
[Hybrid Short Course: DaSEH] Data Science for Environmental Health (DaSEH) is a short course that blends online instruction with an in-person, project-based intensive. Designed for beginners with little to no experience in R programming, it teaches participants how to import, clean, visualize, and analyze data. The course starts June 8 and goes until June 18, meeting times are 10:30am - 2pm Pacific Time. There is also a three-day in-person intensive Codeathon from June 29 to July 1, 9:30am - 4pm Pacific Time.
Our Weekly Bookmarks Bar
[Blog Post: Who Owns the Code Claude Wrote?] Sena Evren writes about how AI-generated code raises unresolved legal issues: it may not be copyrightable without meaningful human input, could belong to your employer under work-for-hire rules, and might unknowingly include restrictive open-source code from training data. Developers are advised to document their contributions, review employment contracts, and scan for license risks, since the law is partly settled but still evolving in key areas.
[Blog Post: Datapages for Reusable Data Sharing] Michael Frank and Mika Braginsky introduce Datapages, an open-source tool for creating interactive, user-friendly websites that make research data easier to share and reuse, addressing limitations of existing FAIR-compliant repositories. Built on platforms like Redivis and Quarto, datapages allow researchers of varying technical skill levels to publish datasets with visualizations, documentation, and access tools in a scalable and customizable way.
As always you can contact us by replying directly to this email, or if you work within the Fred Hutch/University of Washington/Seattle Children’s Cancer Consortium 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 in two weeks!
- The Fred Hutch Data Science Laboratory