RFA-CA-14-003
Early-Stage Innovative Molecular Analysis Technology Development for Cancer Research (R21)
Application due dates: May 20, 2014; September 18, 2014
Expires: September 19, 2014
RFA-CA-14-004
Validation and Advanced Development of Emerging Molecular Analysis Technologies for Cancer Research (R33)
Application due dates: May 20, 2014; September 18, 2014
Expires: September 19, 2014
RFA-CA-14-005
Early-Stage Development of Innovative Technologies for Biospecimen Science (R21)
Application due dates: May 20, 2014; September 18, 2014
Expires: September 19, 2014
RFA-CA-14-006
Validation and Advanced Development of Emerging Technologies for Biospecimen Science (R33)
Application due dates: May 20, 2014; September 18, 2014
Expires: September 19, 2014
PAR-14-170
Innovative Programs to Enhance Research Training (R25)
Application due dates: June 9, 2014; January 25, 2015; January 25, 2016
Expires: January 26, 2016
PAR-14-160
Core Infrastructure and Methodological Research for Cancer Epidemiology Cohorts (U01)
Application due dates: July 8, 2014; November 10, 2014; March 11, 2015; July 8, 2015; November 10, 2015; March 11, 2016; July 8, 2016; November 10, 2016; March 10, 2017
Expires: March 11, 2017
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NOT-OD-14-074
NIH and AHRQ Announce Updated Policy for Application Submission
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Cancer Epidemiology: From Pedigrees to Populations
May 6, 2014 in Bethesda, MD
Symposium on Global Cancer Research
May 9, 2014 in Washington, DC
The Cancer Genome Atlas Third Annual Scientific Symposium
May 12-13, 2014 in Bethesda, MD
Controlling Cancer Summit
May 12-14, 2014 in London, United Kingdom
American Society of Clinical Oncology Annual Meeting
May 30-June 3, 2014 in Chicago, IL
Emerging Issues in Head and Neck Cancer Workshop
June 2-3, 2014 in San Pietro in Bevagna, Italy
InterLymph Annual Meeting
June 17-20, in Los Angeles, CA
North American Association of Central Cancer Registries Annual Conference
June 21-26, 2014 in Ottawa, Canada
Society for Epidemiologic Research Annual Meeting
June 24-27, 2014 in Seattle, WA
International Association of Cancer Registries Annual Conference
June 26-28, 2014 in Ottawa, Canada
AACR Integrative Molecular Epidemiology Workshop
August 11-15, 2014 in Boston, MA
Applications due April 23, 2014
IEA World Congress of Epidemiology
August 17-21, 2014 in Anchorage, AK
International Society for Environmental Epidemiology
August 24-28, 2014 in Seattle, WA
International Genetic Epidemiology Society Annual Meeting
August 28-30, 2014, in Vienna, Austria
Abstracts due: June 4, 2014
Annual Meeting of the American College of Epidemiology
September 7-9, 2014 in Silver Spring, MD
Abstracts due: May 5, 2014
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EGRP encourages readers to submit items of interest to Cancer Epidemiology Matters E-News. EGRP reserves the right to decide whether or not materials are appropriate for inclusion.
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Epidemiology and Genomics Research Program
Division of Cancer Control and Population Sciences
National Cancer Institute
9609 Medical Center Drive
4 East, MSC 9763
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NIH Announces Updates to Policy for Application Submission
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On April 17, 2014, the National Institutes of Health (NIH) announced changes to its resubmission policy in the
NIH Guide for Grants and Contracts (see NOT-14-074). Effective immediately, if a Principal Investigator's (PI) resubmission application (A1) is reviewed and not selected for funding, PIs may submit a new (A0) application that is similar to the A1 submission for the next appropriate application due date. After an unsuccessful A0 application, investigators have the option of submitting either a resubmission or a new application, unless a Funding Opportunity Announcement (FOA) says otherwise. NIH will no longer require that the A0 application be substantially different from a previously submitted application.
Investigators who choose to resubmit, must do so within 37 months of the new A0 application. The PI can continue to submit the application (hopefully responding to reviewer concerns with each submission) until the PI decides to not submit again, or the application is selected for funding. Learn more about the policy and view Frequently Asked Questions.
Investigators who have questions about how this NIH policy applies to their research ideas or grant mechanisms that cannot be answered by information available on NIH web pages are welcome to contact EGRP Program Directors (PDs) for assistance. Those who do not already have an assigned PD are invited to review the EGRP staff list to identify PDs with related scientific interests.
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New Features to Controlled Access of dbGaP Datasets
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The National Center for Biotechnology Information's (NCBI) database of Genotypes and Phenotypes (dbGaP) is a great resource for leveraging existing genomic datasets. NCBI recently updated the dbGaP authorized access system to include some new, time-saving features:
- dbGaP and the eRA Commons Account: Requesting Investigators can now use eRA Commons to provide the Principal Investigator (PI), institution, and Signing Official (SO) names on their dbGaP applications. This information will now auto-populate when a PI creates a project.
- dbGaP Project Renewal and the Annual Report: The dbGaP annual report is now a part of the project renewal. When a PI requests renewal of authorized access through dbGaP, the PI will be prompted to provide an annual progress report on research using the genomic dataset.
- Project Closeout: Project closeout is now facilitated through the dbGaP system. Within dbGaP, an authorized PI can request project closeout and complete the closeout report using the system. Once the closeout report is completed, the SO will be notified to provide confirmation of data destruction through the dbGaP system.
To learn more about the new features to controlled access in the dbGaP system, investigators can view the following online tutorials:
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Big Data to Knowledge (BD2K)
Opportunities
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Image courtesy of Defense Advanced Research Projects Agency
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The NIH's Big Data to Knowledge (BD2K) Initiative was created to enable biomedical scientists to capitalize more fully on the "big data" being generated by the biomedical research community. The BD2K Initiative currently has a number of open or upcoming Funding Opportunity Announcements (FOAs) that may be of interest to cancer epidemiologists. Those opportunities are described and listed below. Open FOAs: Development of Software and Analysis Methods for Biomedical Big Data in Targeted Areas of High Need (U01) Application due date: June 19, 2014 Expires: June 20, 2014 This FOA solicits development of innovative analytical methods and software tools with the objective of addressing critical current and emerging needs of the biomedical research community for using, managing, and analyzing
larger and more complex datasets inherent to biomedical Big Data, focusing on four topic areas: data compression/reduction, data visualization, data provenance, and data wrangling. Courses for Skills Development in Biomedical Big Data Science (R25) Application due dates: April 1, 2014; April 1, 2015; and April 1, 2016 Expires: April 2, 2016 The goal of this FOA is to complement and/or enhance the training of a workforce to meet the nation's biomedical, behavioral, and clinical research needs. In particular, this FOA will support courses for skills developmentin topics necessary for the utilization of Big Data, including the computational and statistical sciences in a biomedical context. Open Educational Resources for Biomedical Big Data (R25) Application due dates: April 1, 2014; April 1, 2015; and April 1, 2016 Expires: April 2, 2016 This goal of this FOA is to complement and/or enhance the training of a workforce to meet the nation's biomedical, behavioral, and clinical research needs. In particular, this FOA will support curriculum or methods development of innovative open educational resources that enhance the ability of the workforce to use and analyze biomedical Big Data. Upcoming FOAs: Predoctoral Training in Biomedical Big Data Science (T32) Expected date of FOA: Spring 2014 Expected application due date: Summer 2014 This FOA will support graduate training programs in Big Data science. Because Big Data science is interdisciplinary in nature, it is expected that trainees will acquire during the training experience competency in all three relevant areas -computer science/informatics, statistics/mathematics, and biomedical science - and expertise in aspects of data science that are essential to biomedical science. The training should include those aspects of computer science/informatics and statistics/mathematics that are directly relevant to the biomedical sciences.
Revisions to Add Biomedical Big Data Training to Ongoing Institutional Training Grants (T32 and T15)
Estimated date of FOAs: Spring 2014
Expected application due date: Summer 2014
These FOAs will allow revisions (competitive supplements) to add a Big Data Science track to ongoing T32 and T15 institutional training grants for the purpose of training the next generation of scientists who will develop computational and quantitative approaches and tools needed by the biomedical research community to work with biomedical Big Data. The aim of these initiatives is to train a cadre of scientists who have the knowledge and skill sets in scientific disciplines relevant to Big Data Science in the biomedical sciences. It is essential that a revision to an ongoing training program significantly expand the scope of a currently funded training program. It is expected that the revision will support a separate training track that encompasses the requisite Big Data elements, whether it is built de novo or drawn from existing elements.
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