Cancer Data Science Pulse

For this year’s “Love Data Week,” we talked to NCI’s Office of Data Sharing about data ownership. Learn more about this topic and how you can access data sharing resources for supporting your work.

Celebrate the advancements in cancer data science as we highlight our top five most-read blogs of 2024!

Read the blogs that topped our charts in 2023, and see if your favorite made #1!

Patients play a pivotal role in cancer research by generously giving the “gift” of data. In this blog, Dr. Jaime Guidry Auvil of NCI’s Office of Data Sharing looks closely at that gift and what it means for everyone involved in cancer research—scientists, people with cancer, their families, and generations to come.

Want to know what NCI learned from a recent RFI on data sharing processes? Explore insights and NCI’s future plans to support cancer data scientists!

NCI recently hosted a two-day workshop with more than 600 developers, researchers, and data scientists from the United States, Canada, and the European Union. Participants addressed some of the challenges of removing personal information from medical images—a process called de-identification. This blog features highlights from the workshop.

Find out what a previous fellow has to say about her experience with data science in an NCI fellowship, and how she applied what she learned to her cancer research career.

Mr. Steve Friedman of NCI’s Division of Cancer Control and Population Sciences’ Surveillance Research Program shares how his survivorship of testicular cancer impacted his decision to pursue the cancer data science field.

Common Data Elements (CDEs) are a key component of NCI’s semantics infrastructure. CDEs allow us to assign meaning to data in a way that’s predictable, consistent, and persistent across time. In this blog, CBIIT’s Ms. Denise Warzel and Dr. Gilberto Fragoso take a deep dive into CDEs and show how they help researchers define, map, and use data more efficiently.

CBIIT’s series on data visualizations continues with a look at visualizing genetic data in a three-dimensional (3D) format. Here, Dr. Michael Sierk, a contractor with Essential Software, Inc., and Dr. Daoud Meerzaman from CBIIT’s Computational Genomics and Bioinformatics Branch show how they create visualizations in 3D using a new tool called 3DVizSNP.