News

Keep up with the latest news from the NCI Center for Biomedical Informatics and Information Technology (CBIIT) and the data science communities.

Call for Data Scientists to Advance Biomedical Research, Data and Technology Advancement (DATA) National Service scholar Program, Cloud Computing, Artificial Intelligence, Complex Data Sets, Cancer Research Data, Applications Due: April 30.

Opportunity for Experienced Data Scientists at NIH: DATA Scholar Program

The NIH Office of Data Science Strategy is pleased to announce the Data and Technology Advancement (DATA) National Service Scholar Program, a new opportunity for experienced data and computer scientists and engineers to tackle biomedical data challenges with the potential for substantial public health impact.

The functionality of the cancer data aggregator can be described as this: a user is currently on a data portal or application. That application will connect to the Cancer Data Aggregator through an API that allows users to query parameters for data sets. The aggregator then queries across the Cancer Research Data Commons, NCI Data Coordinating Centers, and other NIH repositories, aggregating data that matches that query. The data will return to the aggregator to be transformed through a common data model.

Submit a Proposal to Build the Cancer Data Aggregator (CDA) by February 18

Frederick National Laboratory for Cancer Research requests proposals to develop a query engine called the Cancer Data Aggregator (CDA). The CDA will allow users to aggregate data via queries across the Human Tumor Atlas Network, the NCI Cancer Research Data Commons (CRDC) nodes, and other Data Coordinating Centers and repositories with which NCI plans to interoperate.

Purple image with text reading Medadata Automation DREAM Challenge. To the right a magnifine glass, heart, gear.

Metadata Automation DREAM Challenge is Open for Registration

The Metadata Automation DREAM Challenge is now open for registration. Using structured biomedical data files, Challenge participants will develop solutions that apply existing research data annotations to help automate the annotation of metadata fields and values.

New CPTAC Data Relase on the GDC

Genomic Data Commons (GDC) Data Release Includes New Clinical Proteomic Tumor Analysis Consortium (CPTAC) Project Data

The NCI Genomic Data Commons (GDC) data release 22 is now available and includes data from the Clinical Proteomic Tumor Analysis Consortium (CPTAC) Glioblastoma Multiforme Discovery Study and CPTAC-3 miRNA sequencing data. 

Logo of Journal of Clinical Oncology Clinical Cancer Informatics. An American Society of Clinical Oncology Journal.

"Call for Data Standardization: Lessons Learned and Recommendations in an Imaging Study"

Center for Biomedical Informatics and Information Technology contributors, with a team led by Science Program Analyst Denise Warzel, collaborated with fellow NCI colleague Dr. Paula Jacobs of the Division of Cancer Treatment and Diagnosis and others on a recently published article, “Call for Data Standardization: Lessons Learned and Recommendations in an Imaging Study.”

Coxcomb plot style graphic which has a blur applied to it. A green circle overlaps the plot. Text inside the green circle reads: PDC Data Release. New proteomic data available from the CPTAC Glioblastoma Multiforme (GBM) Discovery Study. Complimentary imaging data available at TCIA CPTAC Imaging Proteomics.

New Glioblastoma Multiforme Data Released to the Proteomic Data Commons (PDC)

New proteomic and phosphoproteomic data from the Adult Glioblastoma Multiforme (GBM) Discovery Study are now available on the NCI Cancer Research Data Commons' Proteomic Data Commons (PDC).

National Cancer Institute Imaging Data Commons Poster won a Certificate of Merit at RSNA19. This poster outlines the components and details of the Imaging Data Commons: it's place within the Cancer Research Data Commons (CRDC), the IDC, IDC Minimum Value Product, Guiding Principles for the Development, Standardization (DICOM), IDC vs. The Cancer Imaging Archive (TCIA), the tentative implementation timeline, the Cloud Platform (Google Cloud), Image Visualization (OHIF), and Use Cases.

NCI CRDC Imaging Data Commons Team Wins Certificate of Merit Award for Educational Poster Exhibit at RSNA 2019

The NCI Cancer Research Data Commons’ (CRDC) Imaging Data Commons (IDC) team received a Certificate of Merit award for its educational poster exhibit at the 105th annual meeting of the Radiological Society of North America (RSNA).

Female scientist wearing latex gloves and blue coat looking into a microscope and affixing slides to the plate. Images below the woman are of cells and insects, denoting what she might be seeing through the microscope.

The National Institute of Allergy and Infectious Diseases (NIAID) Office of Data Science and Emerging Technologies (ODSET) Data Science Fellowship 2020 Announced

The National Institute of Allergy and Infectious Diseases (NIAID) Office of Data Science and Emerging Technologies (ODSET) is recruiting the 2020 cohort of fellows for its Emerging Leaders in Data Science Fellowship Program.

SC19 Winners of Best Paper for modeling cancer-causing protein interactions. Paper is titled: "Massively Parallel Infrastructure for Adaptive Multiscale Simulations: Modeling RAS Initiation Pathway for Cancer."

JDACS4C Pilot 2 Team Wins Best Paper at SC19

“Massively Parallel Infrastructure for Adaptive Multiscale Simulations: Modeling RAS Initiation Pathway for Cancer” was selected as best paper at SC19, the International Conference for High-Performance Computing, Networking, Storage, and Analysis.

Icon of a X-ray machine showing a user icon's skeletal system over a background of sarcoma tisuse cells. The overlaid text reads "See what's new on the Cancer Imaging Archive CPTAC Pathology Portal: 76 new pathology slides, 25 new cases, and Cutaneous Melanoma, and Glioblastoma Multiforme Sarcomas"

New CPTAC Imaging Data Released

A new batch of Clinical Proteomic Tumor Analysis Consortium (CPTAC) histology imaging data has been released and is now publicly available on The Cancer Imaging Archive (TCIA) CPTAC Pathology Portal.

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