NCI's Office of Data Sharing Annual Symposium (Abstract Submission)

Filter submissions
4 submissions
# Created User IP address First Name Middle Initial Last Name Degree(s) Position/Title/Career Status Organization Organization Address Email Abstract Category Abstract Keywords Abstract Title Abstract Summary Upload Abstract Operations
5 Wed, 06/11/2025 - 12:31 Anonymous 10.208.28.229 Julia Komissarchik MS CEO & co-founder Glendor, Inc Draper julia@glendor.com Demo Table Request multimodal data, PHI De-identification, patient's privacy, privacy protection, BAA-free data sharing Automatic at source scalable removal of PHI from multimodal medical data to empower data sharing, while protecting patient's privacy. The rapid expansion of data in cancer research includes a wealth of multimodal datasets such as medical images, pathology slides, surgical videos, photos, and audio recordings. As researchers begin to collect, aggregate, and analyze this diverse range of data, protecting patient privacy and ensuring highly scalable de-identification of Protected Health Information (PHI) for all kinds of medical data becomes critical. This poster describes Glendor PHI Sanitizer - software for automatic at source scalable removal of PHI from multimodal medical data to empower data sharing, while protecting patient's privacy.
4 Wed, 06/04/2025 - 17:34 Anonymous 10.208.24.182 Jeff Liu MSc. Director, Data Management and Strategy Dana-Farber Cancer Institute Boston J_Liu@dfci.harvard.edu Demo Table Request data, sharing, catalog, metadata, FAIR An Institutional Cancer Research Data Catalog for Enhanced Data Sharing, Findability, and Accessibility The exponential growth of scientific data in cancer research and precision medicine presents both significant opportunities and challenges for researchers. Data fragmentation and silos across data repositories and institions, along with non-standardized formats and metadata, hampers access and utilization of diverse data resources. The Data Management Team in the Division of Population Science has collaborated with the National Cancer Institute’s Childhood Cancer Data Initiative Project team, customized its open-source codebase for the Childhood Cancer Data Catalog and launched the Dana-Farber Cancer Research Data Catalog (DFDC). Besides new metadata identified, we have also enhanced DFDC with advanced phrase-based search feature and metadata extraction utility. Our platform integrates rich metadata for institutional and community data resources, streamlining data discovery for researchers. By providing easy access to a wide range of cancer data resources, researchers and trainees at Dana-Farber are empowered to accelerate secondary data analysis, promoting data sharing and fostering collaboration and data reuse within the DFCI research community.
3 Wed, 06/04/2025 - 16:58 Anonymous 10.208.28.130 Jeff Liu MSc. Director, Data Management and Strategy Dana-Farber Cancer Institute Boston J_Liu@dfci.harvard.edu Poster Abstract cancer, data, sharing, catalog, metadata Empowering Cancer Research Discovery: An Institutional Data Catalog for Enhanced Data Sharing, Findability, and Accessibility The exponential growth of scientific data in cancer research and precision medicine presents substantial challenges for researchers striving to access and utilize diverse data resources. These challenges stem from data fragmentation across multiple databases and repositories, compounded by a lack of standardization in formats and metadata. Moreover, institutional data silos further impede collaboration and comprehensive analyses. To address these obstacles, the National Cancer Institute’s Childhood Cancer Data Initiative (CCDI) has developed the Childhood Cancer Data Catalog (CCDC), a groundbreaking searchable database housing pediatric data resources shared by the pediatric cancer research community.

Collaborating closely with the CCDC project team, the Data Management Team in the Division of Population Science at DFCI customized the open-source CCDC codebase and built a DFCI Research Data Catalog (DFDC). The DFDC platform integrates rich metadata and high-value institutional resources, including solid tumor curation projects, the Profile cohort, Rapid Heme Panel data, cBioPortal, ImmunoProfile imaging data, the Molecular Oncology Almanac. Additionally, it incorporates numerous community datasets such as those from the NIH All of Us program, GENIE, SEER, NCI’s Cancer Research Data Commons (CRDC), and hundreds of dataset entries graciously shared by the CCDC project team.

By providing researchers with easy access to a vast array of cancer data resources, DFDC streamlines the process of data discovery, enabling researchers to identify and access resources within hours rather than days or weeks. This enhanced accessibility facilitates more efficient secondary data analysis, thereby catalyzing advancements in cancer research. Furthermore, the DFDC platform serves as a platform for data sharing among DFCI researchers, fostering collaboration and encouraging greater data reuse within the scientific community.
2 Wed, 06/04/2025 - 16:49 Anonymous 10.208.28.130 David M. Higgins Ph.D. Informatics Program Manager Children's Hospital of Philadelphia Philadelphia higginsd@chop.edu Poster Abstract pediatric, The Gabriella Miller Kids First Data Resource Center Nine-year-old brain tumor patient Gabriella Miller challenged members of Congress to ?stop talking and start doing? when providing federal funding for research into cures for pediatric cancer and congenital anomalies. Her advocacy efforts resulted in the launch of the Gabriella Miller Kids First Pediatric Research Program whose goal is to uncover new insights into the biology of childhood cancer and congenital anomalies.

The Gabriella Miller Kids First Data Resource Center (Kids First DRC) has since honored her legacy by building a comprehensive data resource for genomic research into pediatric conditions. Data from more than 35,000 participants annotated with demographic and clinical information related to their diagnoses have been released for secondary research and analysis using the center?s web-based platforms.

These platforms include the Kids First Data Resource Portal, a tool for querying the Kids First cohorts to identify participants, biospecimens, and data files of interest. The Kids First Portal directly connects to CAVATICA powered by Velsera, allowing users to transfer data files which they have been approved to access. CAVATICA is a cloud analysis platform which allows researchers to carry out large scale collaborative bioinformatic analyses on genomic files. The Kids First DRC also supports PedcBioPortal, a browser-based tool for carrying out somatic data analysis.