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.

Common Data Elements (CDEs) enrich and standardize data through consistent and accurate metadata, helping to make data ready for use in training artificial intelligence (AI) models. In this blog, Ms. Denise Warzel discusses the role of CDEs and AI in CBIIT’s Semantic Infrastructure.

After 37 years at NCI, most of which was time serving as chief of the Statistical Research and Applications Branch for the Surveillance Research Program within NCI’s Division of Cancer Control and Population Sciences, Dr. Feuer shares his past experience and accomplishments as well as his advice to the next generation of cancer researchers.

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.

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.

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.

Dr. Vivian Ota Wang shares her perspectives on data bias and outlines ideas for making data more equitable, fair, and useful to the greatest number of people, all of which would benefit cancer research.

Hear from CBIIT’s Chief of the Clinical and Translational Research Informatics Branch as he gives advice on how to conduct a research project using data science and the value data science brings to supporting the cancer research community.

How can data science support your cancer research? Explore this helpful quick start guide to find out! We’ll show you an overview of how data science enhances cancer research and how you can get started applying it to your work.