Good morning!
Welcome to the thirty second 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
[Pre-print Paper: Evaluation of software impact designed for biomedical research] Explore the challenges and guidelines for evaluating the impact of biological software in our new research paper. Learn how developers can optimize software evaluations based on insightful findings, including the correlation between infrastructure, usage rates, and enhanced impact.
[Blog Post: Thoughts about Tech Debt] Tech debt is often seen as a burden, but is it always a bad thing? In Candaceโs latest blog post, she explores the different types of tech debt and how they relate to project health. Discover the value of supportive work environments and the importance of empathy in creating a culture that minimizes less-than-ideal tech debt.
Our Weekly Bookmarks Bar
[Research Paper: Establishing effective cross-disciplinary collaboration] Gain insights into how the "Ten Simple Rules" series can effect the design of cross-disciplinary collaborative research projects, especially in the context of reproducible science. This paper highlights how three articles provide practical guidelines for researchers across diverse disciplines.
As always you can contact us by replying directly to this email, you can email Jeff Leek, Amy Paguirigan, and Sean Kross 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