Cancer Data Science Pulse

Semantics
Image of a small square that reads "AI" in white, with larger letters reading "AI" above it floating in the air. Blue bacground.

Semantics Series—The Role of Common Data Elements and Artificial Intelligence

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.

Laptop displaying the NCI Cancer Data Science Pulse webpage with the text, "CBIIT's top Blogs of 2023"

The 12 Blogs of CBIIT—Your Favorite Data Science Reads from 2023

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

Take a deep dive into CDEs. Illustration shows a swimmer diving into a pool with large letters, CDE, which represents Common Data Elements.

Semantics Series—A Deep Dive Into Common Data Elements

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.

The 12 Blogs of CBIIT on wintery background

The 12 Blogs of CBIIT—Your Favorite Data Science Reads from 2022

Read the blogs that topped our charts in 2022 and see if your favorite made #1!

Illustration of a clear-glass capsule that houses multiple balls that depict icons referencing data types. This includes icons of statistics, childhood cancer, cloud, and partnerships.

NCI’s Data Science Time Capsule—A Snapshot in Time

Watch our time capsule video to learn about the current status of the field and new technologies that are sure to be important as we embark on the next era of cancer data research.

Headshot of Gilberto Fragoso, Ph.D.

Semantics Primer

This blog offers a primer on semantics, a topic that has broad implications for the biomedical informatics and data science fields. Here, Gilberto Fragoso, Ph.D., describes the structures that serve as a foundation for data science semantics. Those systems help improve data interoperability, allowing researchers to query, retrieve, and combine very different data sets for more extensive analysis.

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