The goal of this workshop is to discuss core metrics, use cases, and best practices to better understand open data usage and impact. The workshop will focus on two types of data resources – repositories and knowledgebases – and will bring together managers of diverse biomedical data resources to discuss community-supported best practices for data metrics.

Dr. Hanauer will demonstrate EMERSE, the Electronic Medical Record Search Engine, and its use in researching rare cancers. EMERSE excels at finding mentions of rare diseases, identifying cohorts, and abstracting phenotypic or other clinical details.

Drs. Kim Kaphingst and Guilherme Del Fiol will describe a clinical decision support platform for identifying and managing patients who meet guidelines for genetic evaluation based on family health history in the electronic health record (EHR). 

Dr. Durga will present NCI Cloud Resources during a special session at NIH Tech Day. She will showcase how these cloud-based platforms store large datasets and analysis tools in the cloud and provide access to real-time analysis for cancer research and discovery.

Hosted by the NIH Office of Data Science Strategy and the National Library of Medicine, this webinar intends to collect information from generalist and institutional data repositories and explore the adoption of common infrastructure, standards, and search solutions to enable greater discoverability of NIH research data across federated data repositories while addressing the role of data curators in ensuring data and metadata enhance discovery and enable reuse.

This webinar will explain how to use a new data-and-interactive-visualization heatmap tool to visually query genes of interest and to explore gene and protein expression. Developed for NCI's Clinical Proteomic Tumor Analysis Consortium (CPTAC) program and demonstrated in a recent kidney cancer proteogenomics study, this tool is now available to the public.

The Metadata Automation DREAM Challenge invites participants to develop solutions to automate metadata annotation using a Model-to-Data Approach on structured data files provided on the challenge site. In this webinar, Drs. James Eddy and Thomas Schaffter will present an overview of the Challenge and lead a panel discussion on the requirements and logistics.

Dr. Pagel will present OpenCRAVAT, a new open source, scalable decision support system for studying gene variants and gene prioritization.

This webinar will guide users through the GDC submission process by demonstrating file uploads, review/quality checks, and requests for harmonization using GDC submission tools.

NCI’s Center for Cancer Research (CCR), through the Bioinformatics Training and Education Program (BTEP) Distinguished Speaker Series, will present “Marshaling Public Data for Lean and Powerful Splicing Studies.”