Oct. 7, 2016 

Application deadline: NIH Director's Transformative Research Awards (R01)

The NIH Director's Transformative Research Awards complement NIH’s traditional, investigator-initiated grant programs by supporting individual scientists or groups of scientists proposing groundbreaking, exceptionally innovative, original and/or unconventional research with the potential to create new scientific paradigms, establish entirely new and improved clinical approaches, or develop transformative technologies. Little or no preliminary data are expected. Projects must clearly demonstrate the potential to produce a major impact in a broad area of biomedical or behavioral research.

More information: https://grants.nih.gov/grants/guide/rfa-files/RFA-RM-16-007.html

Oct. 8, 2016 

Letter of Intent Due Date: Limited Competition for the Continuation of Epidemiology of Diabetes Interventions and Complications (EDIC) Study Biostatistics Research Center (Collaborative U01)

The purpose of this Funding Opportunity Announcement (FOA) is to continue to follow the Epidemiology of Diabetes Interventions and Complications (EDIC) cohort through a collaborative cooperative agreement. EDIC is an observational study that was launched at the completion of the Diabetes Control and Complications Trial (DCCT) trial. The DCCT showed that intensive therapy significantly reduced the risk of diabetes complications compared to conventional therapy. At DCCT completion, all cohort members were taught intensive diabetes therapy. In 1994, EDIC was launched to: (1) evaluate the long-term effects of DCCT intensive therapy, (2) describe the long-term effects of glycemia and other risk factors on diabetes complications, and (3) characterize type 1 diabetes complications by supporting collaborative research to utilize the EDIC cohort as well as its data set and biologic/genetic samples. To date, EDIC has: (1) demonstrated a continued benefit of intensive therapy on the development and progression of diabetes complications and (2) characterized the development and progression of diabetes complications. The primary purpose of this FOA is to support the EDIC Biostatistics Research Center to continue follow-up of the EDIC cohort to study the development of complications and the longer term course of type 1 diabetes in a well characterized type 1 diabetes population, including but not limited to cardiovascular disease, mortality, severe microvascular disease (blindness, kidney failure, amputation), neurocognitive impairments, and physical fragility. The EDIC Biostatistics Research Center will manage and support EDIC operations and analyses, including but not limited to support of other EDIC core facilities and other subcontractors as well as provision of biostatistical design and analysis, data and sample management, quality control, dissemination, and public accessibility. RFA-DK-16-508 will support continuation of the EDIC Clinical Research Center.

More information: http://grants.nih.gov/grants/guide/rfa-files/RFA-DK-16-509.html

Oct. 9, 2016 

Letter of Intent Due Date: Big Data to Knowledge (BD2K) Community-Based Data and Metadata Standards Efforts (R24)

This Funding Opportunity Announcement (FOA), under the Big Data to Knowledge (BD2K) initiative, is to provide time-limited, catalytic support for activities necessary to develop or extend/refine data and metadata standards and/or related tools in areas relevant to the NIH basic, translational, and clinical research mission. Projects can support activities at any point in the data standards lifecycle and should build on existing partnerships, infrastructure, and resources whenever possible.  Projects must demonstrate a compelling science community interest and need for standards efforts in the specific domain(s) of interest, as well as a plan for meaningful engagement of the end-user communities and relevant stakeholders in the process. The data standard and any associated tools or products developed should be made freely available to the scientific research community via a curated, searchable portal. Projects should address long-term maintenance and sustainability of the data standard after the period of the NIH award; issues to be considered include approaches for dissemination, evaluation, and updating/refinement.  Both short-term and longer-term projects are eligible.

More information: http://grants.nih.gov/grants/guide/rfa-files/RFA-ES-16-010.html

Oct. 14, 2016 

Letter of Intent Due Date: NIH Big Data to Knowledge (BD2K) Enhancing Diversity in Biomedical Data Science (R25)

The NIH Research Education Program (R25) supports research education activities in the mission areas of the NIH.  The over-arching goal of this  NIH Big Data to Knowledge (BD2K) Enhancing Diversity in Biomedical Data Science (R25) program is to support educational activities that enhance the diversity of the biomedical, behavioral, and clinical research workforce. To accomplish the stated over-arching goal, this FOA will support creative educational activities with a primary focus on research experiences and curriculum or methods development.

More information: http://grants.nih.gov/grants/guide/rfa-files/RFA-MD-16-002.html

Oct. 17, 2016 

Letter of Intent Due Date: Interdisciplinary Training in Bioinformatics and Diabetes, Obesity and Metabolic Disease(T32)

The purpose of this Funding Opportunity Announcement (FOA) is to promote the development of an interdisciplinary workforce for conducting bioinformatics research in diabetes, obesity and related metabolic diseases that are relevant to the research mission of NIDDK.  This FOA will support institutional training programs for predoctoral and postdoctoral level researchers with backgrounds in bioinformatics, mathematics and/or computational sciences with mentors from both computational and biological backgrounds.

More information: http://grants.nih.gov/grants/guide/pa-files/PAR-15-182.html

Oct. 19, 2016 [extend to Nov. 9, 2016]

Funding Opportunity Application Due Date: Big Data to Knowledge (BD2K) Community-Based Data and Metadata Standards Efforts (R24)

This Funding Opportunity Announcement (FOA), under the Big Data to Knowledge (BD2K) initiative, is to provide time-limited, catalytic support for activities necessary to develop or extend/refine data and metadata standards and/or related tools in areas relevant to the NIH basic, translational, and clinical research mission. Projects can support activities at any point in the data standards lifecycle and should build on existing partnerships, infrastructure, and resources whenever possible.  Projects must demonstrate a compelling science community interest and need for standards efforts in the specific domain(s) of interest, as well as a plan for meaningful engagement of the end-user communities and relevant stakeholders in the process. The data standard and any associated tools or products developed should be made freely available to the scientific research community via a curated, searchable portal. Projects should address long-term maintenance and sustainability of the data standard after the period of the NIH award; issues to be considered include approaches for dissemination, evaluation, and updating/refinement.  Both short-term and longer-term projects are eligible.

More information: http://grants.nih.gov/grants/guide/rfa-files/RFA-ES-16-010.html

Oct. 23, 2016 

Letter of Intent Due Date: Nutrition Obesity Research Centers (NORCs) (P30)

This Funding Opportunity Announcement (FOA) invites applications from institutions/organizations that propose to establish core centers that are part of an integrated and existing program of nutrition and/or obesity research. The Nutrition Obesity Research Centers (NORC) program is designed to support and enhance the national research effort in nutrition and obesity.  NORCs support three primary research-related activities:  Research Core services, a Pilot and Feasibility (P and F) program, and an Enrichment program.  All activities pursued by Nutrition Obesity Research Centers are designed to enhance the efficiency, productivity, effectiveness and multidisciplinary nature of research in nutrition and obesity. 

More information: http://grants.nih.gov/grants/guide/rfa-files/RFA-DK-16-006.html