Learn how to share NIH-funded data in generalist repositories in the final presentation of the Generalist Repository Ecosystem Initiative Collaborative Webinar Series.

NIH’s Dr. Sheri Schully will provide an overview of the work she and her team do for the All of Us Research Program and the important role computational science plays to advance immuno-oncology. This is the ninth and final seminar in the SITC-NCI Computational Immuno-Oncology Webinar Series, designed for data scientists interested in the latest data science technologies and immunotherapy research.

At the December NCI Imaging and Informatics Community Webinar, learn more about strategies and best practices for medical image de-identification.

Consider how interactive data visuals can advance immuno-oncology: the application of immune system treatments in the fight against cancer.

Learn more about the NCI Imaging Data Commons (IDC), a cloud-based repository of publicly available cancer imaging data. This session, which is part of the 2022 Radiological Society of North America Annual Meeting, will explore the scope and status of IDC, accompanying resources, and plans for future development.

Attend to learn about data collection and the cancer community’s efforts to accelerate the study of rare childhood cancers.

Dr. Gümüş from the Icahn School of Medicine at Mount Sinai will discuss a tool that allows researchers to visually analyze and explore immune monitoring assay results.

Interested in how Medicare data impacts cancer research? Hear from a panel as they present information from the recent 2022 Annual Meeting of the NCI Cohort Consortium.

Are you prepared for the new NIH Data Management and Sharing Policy? In this interactive workshop, learn how to make your data FAIR and discuss ways to develop and enhance your data curation practices using a particular model.

Attend this webinar for a review of the different types of harmonized data that the Genomic Data Commons (GDC) makes available to the cancer research community. GDC’s data experts will share examples of how the data can be used.