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and the data science communities.
The Proteomic Data Commons (PDC) team will host a workshop at the 20th Annual US Human Proteome Organization (HUPO) Conference to be held from March 9th through the 13th 2024, in Portland, Oregon. Registration for the conference is open. The PDC workshop will focus on using PDC datasets and analytical tools for comparative analysis.The workshop will be hosted and moderated by Xu Zhang, PhD, Program Officer, NCI Office of Cancer Clinical Proteomics Research (OCCPR) within the Division ....
The National Cancer Institute (NCI) will be hosting the NCI Cancer Research Data Commons (CRDC) Artificial Intelligence Data-Readiness (AIDR) Challenge from March 4 through March 22, 2024, on the Seven Bridges Cancer Genomics Cloud (SB-CGC) powered by Velsera. This AI Data-Readiness (AIDR) Challenge seeks to engage the research community in assessing the AI readiness of CRDC data to inform NCI on how future data can be generated to be compatible with downstream AI algorithms, including the....
A team of researchers affiliated with the CRDC Imaging Data Commons (IDC) has demonstrated the value of AI in generating annotations for imaging data sets that are now better situated to serve as reference data sets for users across the cancer research community.Enrichment of lung cancer computed tomography collections with AI-derived annotations, Krishnaswamy et al., was published in early January 2024, in Nature’s open access journal Scientific Data. The research team thoroughly demonstrates....
As the NCI Cancer Research Data Commons (CRDC) enters its 10th year, CRDC leaders will provide an overview of work accomplished so far, CRDC’s impact on open science, and a look ahead to initiatives that ensure its foundational role in the cancer data ecosystem.The session will kick off with the history of CRDC including a review of key datasets housed in the CRDC and the core standards and services that ensure data are FAIR – Findable, Accessible, Interoperable, and Reusable. Sev....
Across the cancer research community, we all recognize the complexities of working with data that are vast, diverse, and continuously evolving. Contemporary research requires data at massive scale along with consistency in quality and interoperability standards to support sophisticated inquiries that result in improved diagnostics, disease management, and treatment for patients and populations.Tanja Davidsen, Chief, Data Ecosystems Branch, NCI Center for Biomedical Informatics and Information Te....