This webinar will focus on making controlled-access data (stored in NIH operated and supported repositories) easier to find and access.

In this monthly NIH Data Sharing and Reuse Seminar, Dr. Mark Musen will discuss his group’s latest work, which addresses the challenge of “scrubbing” legacy metadata to ensure adherence to FAIR data standards.

Organized by the NIH Controlled Data Access Coordination Working Group, this webinar will help inform the group’s recommendations to NIH leadership on ways to streamline access to controlled data.

The workshop will bring together patient advocates, technologists, researchers, and health care providers to explore the suitability and role of FHIR in research and how NIH can advance the use of FHIR in research.

The latest NCI Genomic Data Commons (GDC) monthly support webinar will guide users through the step-by-step procedures for data submission, including data upload, review, and quality-checking.

This month, the NCI Cancer Research Data Commons Cancer Genomics Cloud (CGC) webinar welcomes Dr. Wilson McKerrow to discuss how he leveraged the CGC to baseline the presence of LINE-1 expression in non-tumor tissues.

Dr. Paul Marjoram will discuss how statistical analysis of polymorphism data can be used to explore a number of issues relating to cancer.

The June Cancer Imaging and Informatics webinar will host presentations on how well automated de-identification algorithms and cloud services accurately remove protected health information.

This month, the Cancer Research Data Commons Cancer Genomics Cloud webinar welcomes Dr. Wenming Xiao, a lead bioinformatics scientist at the U.S. Food and Drug Administration. Dr. Xiao will present on how computational, technical, and biological factors affect the reproducibility and accuracy of samples in whole-genome and whole-exome sequencing.

Although deep learning has been used for a variety of medical applications across many disciplines, the number of prospective validation studies is limited for this subset of artificial intelligence (AI). Dr. Eric Topol, M.D., will discuss how we need to confront such vital issues of how AI can unintentionally worsen inequities and discrimination.