If you’re attending the 2025 American Association for Cancer Research (AACR) Annual Meeting, make sure you catch these data science presentations from NCI staff!

We’ll add new sessions as we learn about them, so please return to this webpage and look out for updates in our weekly NCI Cancer Data Science Updates email.

On-Demand Sessions

You’ll be able to view these on-demand sessions on the AACR Annual Meeting 2025 virtual meeting platform.

April 27, 2025
11:30 a.m.–12:30 p.m. ET

Session: Enhancing FAIR Sharing and Reuse of Cancer Research Data

• Presentation: NCI Office of Data Sharing: Facilitating the Dissemination, Discovery, and Access of Cancer Data

  Learn more about the NCI Office of Data Sharing’s (ODS) role in the data lifecycle. This session will also showcase helpful resources, offer best practices, and discuss lessons learned over the past two years of the NIH Data Management and Sharing (DMS) Policy implementation (from DMS plans to data reuse).

  NCI Presenters: Ying Huang, M.D. (NCI ODS), Mousumi Ghosh, Ph.D. (NCI ODS) 

• Presentation: NCI Data Ecosystems Branch: Advancing Cancer Research with Secure, High-Quality Data Sharing and Analysis

  Ina Felau will demonstrate how NCI’s Cancer Research Data Commons (CRDC) supports the community by facilitating data submission, data sharing, access, interoperability, as well as integrative analysis of multi-modal data from multiple sources to accelerate cancer research. You’ll learn how the various components of the CRDC ecosystem fit together to create a secure, accessible cancer data ecosystem that empowers cancer researchers like you.

  NCI Presenters: Ina Felau (CBIIT)

April 27, 2025
11:30 a.m.–12:30 p.m. ET

Session: Resources from the NCI-Sponsored Human Tumor Atlas Network

Presentation: HTAN Data in the NCI Cancer Research Data Commons

Find out what Human Tumor Atlas Network (HTAN) resources are available to you through NCI’s CRDC and the HTAN Data Portal. Through HTAN atlases, you can access clinical data matched to a range of molecular data types, including a variety of multiplexed spatial data types (i.e., multiplexed immunofluorescence and spatial transcriptomics) and bulk and single-cell omics data. During this session, you’ll get an overview of the HTAN program and see demonstrations illustrating HTAN resources, tools, and data sets.

NCI Presenters: Erin Beck (CBIIT)