Data Integration and Analysis Tools: Accessible Resources for Integration and Analysis of Carbohydrate and Glycoconjugate Data in the Context of Comparable Gene, Protein, and Lipid Data (U01)

RFA-RM-16-021
Data Integration and Analysis Tools: Accessible Resources for Integration and Analysis of Carbohydrate and Glycoconjugate Data in the Context of Comparable Gene, Protein, and Lipid Data (U01)
Department of Health and Human Services
National Institutes of Health

successful-grant-writing-strategies-for-an-r-award-15-638

Research Objectives and Scope

The analysis and integration of carbohydrate and glycoconjugate data is a complex challenge. Present computational and informatics technologies for carbohydrate analysis are decades behind those developed for nucleic acids and proteins. Like other aspects of glycobiology, progress in glycoinformatics is sporadic and fragmented. The resulting tools are primitive, and poorly integrated, and adoption by non-specialists has been slow. Certain glycoinformatics tools, such as glycan structure databases, have been developed. These databases, however, are limited and balkanized, and are not matched with tools for interrogating the databases in meaningful ways. They are also not well-integrated with databases for proteins or genomic information. Other classes of glycoinformatics tools are in their infancy, or entirely lacking. Examples include algorithms for spectral interpretation to support glycoconjugate structure determination, or interpretation of glycan array binding data.

Recent community-led efforts to arrive at standardization of glycan nomenclature as expressed in databases, interoperability of databases, and reporting of experimental metadata have been promising. Two important features of these recent efforts are: (1) they have been inclusive, community-driven projects, and (2) they have focused on preserving the utility of the tools already created.  Efforts to bring glycoinformatics up to the current state of the art available for the other classes of biological macromolecules must be grounded in a clearly articulated vision for addressing the significant challenges confronting the field, and facilitate participation of many independent research groups. The project should create an environment that enables current and future software developers to join this effort with a clear understanding of the framework within which their contributions will be most effective.

General Information

Document Type: Grants Notice
Funding Opportunity Number: RFA-RM-16-021
Funding Opportunity Title: Data Integration and Analysis Tools: Accessible Resources for Integration and Analysis of Carbohydrate and Glycoconjugate Data in the Context of Comparable Gene, Protein, and Lipid Data (U01)
Opportunity Category: Discretionary
Opportunity Category Explanation:  
Funding Instrument Type: Cooperative Agreement
Category of Funding Activity: Health
Category Explanation:  
Expected Number of Awards: 1
CFDA Number(s): 93.310 — Trans-NIH Research Support
Cost Sharing or Matching Requirement: No
Version: Synopsis 1
Posted Date: Sep 16, 2016
Last Updated Date: Sep 16, 2016
Original Closing Date for Applications: Nov 28, 2016  
Current Closing Date for Applications: Nov 28, 2016  
Archive Date: Dec 29, 2016
Estimated Total Program Funding: $2,000,000
Award Ceiling: $1,500,000
Award Floor:

Eligibility

Eligible Applicants: City or township governments
Special district governments
Public housing authorities/Indian housing authorities
Native American tribal governments (Federally recognized)
Native American tribal organizations (other than Federally recognized tribal governments)
Others (see text field entitled “Additional Information on Eligibility” for clarification)
Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education
Private institutions of higher education
For profit organizations other than small businesses
State governments
Independent school districts
Public and State controlled institutions of higher education
Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education
Small businesses
County governments
Additional Information on Eligibility: Other Eligible Applicants include the following: Alaska Native and Native Hawaiian Serving Institutions; Asian American Native American Pacific Islander Serving Institutions (AANAPISISs); Eligible Agencies of the Federal Government; Faith-based or Community-based Organizations; Hispanic-serving Institutions; Historically Black Colleges and Universities (HBCUs); Indian/Native American Tribal Governments (Other than Federally Recognized); Non-domestic (non-U.S.) Entities (Foreign Organizations); Regional Organizations; Tribally Controlled Colleges and Universities (TCCUs) ; U.S. Territory or Possession; Non-domestic (non-U.S.) Entities (Foreign Institutions) are not eligible to apply. Non-domestic (non-U.S.) components of U.S. Organizations are not eligible to apply. Foreign components, as defined in the NIH Grants Policy Statement, are allowed.

Additional Information

Agency Name: National Institutes of Health
Description: The Common Fund Program – Accelerating Translation of Glycoscience: Integration and Accessibility – aims to develop accessible and affordable new tools and technologies for studying carbohydrates that will allow biomedical researchers to significantly advance our understanding of the roles of these complex molecules in health and disease. This program will enable investigators who might not otherwise conduct research in the glycosciences, to undertake the study of carbohydrate structure and function.
Link to Additional Information: http://grants.nih.gov/grants/guide/rfa-files/RFA-RM-16-021.html
Grantor Contact Information: If you have difficulty accessing the full announcement electronically, please contact:

NIH OER Webmaster FBOWebmaster@OD.NIH.GOV

If you have any problems linking to this funding announcement, please contact the NIH OER Webmaster

Metabolomics Data Analysis (R03)

RFA-RM-15-021

Metabolomics Data Analysis (R03)
Department of Health and Human Services
National Institutes of Health

metabolomic-data-analysis-and-visualization-tools-1-638

Specific Areas of Research Interest

Collaborations between computational and biomedical experts for the secondary analysis of existing metabolomics datasets to probe specific biomedical questions or to validate a new analytical approach could include, but are not limited to:

  • Improved methods of processing raw data for compound identification from MS/NMR peaks/features
  • Integration of metabolite data acquired across different metabolomics technological platforms
  • Metabolic modeling of known or unknown pathways with regard to a disease or disorder
  • Novel data visualizations that better uncover relationships between diseases and metabolites.
  • Validation of new methods or statistical analyses to test a specific biomedical question
  • Integration of metabolomics data with other ‘omics data to test specific biomedical questions

If analytical tools or methods are being developed, generalizable, scalable and portable solutions appropriate for scientists, not expert in informatics, are particularly encouraged. If research projects involving secondary data analyses are proposed, they could involve use of the datasets currently residing in the Metabolomics Consortium Data Repository of the Common Fund Metabolomics Program or in another publicly available database. Applicants proposing analysis of data not yet deposited or in another public database with open access must confirm willingness to share the data in accordance with all applicable rules for the protection of human subjects, which may include Department of Health and Human Services regulations at 45 CFR Part 46 and other federal and state laws that regulate the use of human subject data.

Applicants are encouraged to contact the Scientific/Research staff listed below for clarification regarding the scope of this funding opportunity.

General Information

Document Type: Grants Notice
Funding Opportunity Number: RFA-RM-15-021
Funding Opportunity Title: Metabolomics Data Analysis (R03)
Opportunity Category: Discretionary
Funding Instrument Type: Grant
Category of Funding Activity: Health
Category Explanation:
Expected Number of Awards:
CFDA Number(s): 93.310 — Trans-NIH Research Support
Cost Sharing or Matching Requirement: No
Posted Date: Oct 30, 2015
Creation Date: Oct 30, 2015
Original Closing Date for Applications: Feb 11, 2016  
Current Closing Date for Applications: Feb 11, 2016  
Archive Date: Mar 13, 2016
Estimated Total Program Funding: $1,000,000
Award Ceiling: $100,000
Award Floor:

Eligibility

Eligible Applicants:
Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education
Private institutions of higher education
Native American tribal governments (Federally recognized)
Native American tribal organizations (other than Federally recognized tribal governments)
Others (see text field entitled “Additional Information on Eligibility” for clarification)
State governments
County governments
Special district governments
Independent school districts
Public housing authorities/Indian housing authorities
Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education
City or township governments
For profit organizations other than small businesses
Public and State controlled institutions of higher education
Small businesses
Additional Information on Eligibility: Other Eligible Applicants include the following: Alaska Native and Native Hawaiian Serving Institutions; Asian American Native American Pacific Islander Serving Institutions (AANAPISISs); Eligible Agencies of the Federal Government; Faith-based or Community-based Organizations; Hispanic-serving Institutions; Historically Black Colleges and Universities (HBCUs); Indian/Native American Tribal Governments (Other than Federally Recognized); Non-domestic (non-U.S.) Entities (Foreign Organizations); Regional Organizations; Tribally Controlled Colleges and Universities (TCCUs) ; U.S. Territory or Possession.

Additional Information

Agency Name: National Institutes of Health
Description: The purpose of this small research grant Funding Opportunity Announcement (FOA) is to foster collaboration between bioinformaticians, metabolomics experts, and/or biomedical researchers in efforts to improve the ability to analyze metabolomics data to address biomedical questions. It is also expected that these grants would complement the current efforts of the Common Fund Metabolomics Program and maximize the value of existing metabolomics databases and resources.
Link to Additional Information: http://grants.nih.gov/grants/guide/rfa-files/RFA-RM-15-021.html
Contact Information: If you have difficulty accessing the full announcement electronically, please contact:

NIH OER Webmaster FBOWebmaster@OD.NIH.GOV
If you have any problems linking to this funding announcement, please contact the NIH OER Webmaster

NIDCR Small Research Grants for Oral Health Data Analysis and Statistical Methodology Development (R03)

PAR-15-344
NIDCR Small Research Grants for Oral Health Data Analysis and Statistical Methodology Development (R03)oral health data analysis
Department of Health and Human Services
National Institutes of Health

Research Objectives

The NIDCR supports a broad portfolio of clinical trials and large-scale epidemiologic research projects that collect extensive data to fulfill each project’s specific aims. The resultant wealth of data generated by these studies often provides unique, cost-effective opportunities to investigate additional research questions or develop improved analytical approaches secondary to a project’s originally intended purpose.

The Small Research Grants for Data Analysis and Statistical Methodology Development (R03) program is designed to provide investigators with the support necessary to conduct such secondary data analyses or to develop new statistical methods for analyzing oral health data utilizing existing database resources. Research aims in these applications may be related to, but must be distinct from, the specific aims of the original data collection. The oral and craniofacial data may be derived from NIDCR-funded studies or from other sources.

Applications may propose to test new hypotheses in oral and craniofacial health, including oral and craniofacial health economics, using existing data. However, hypothesis-generating research in the absence of hypothesis testing will be considered for funding only if carefully described and justified.  Priority will be given to studies that address causality between risk factors and the oral health outcome(s) of interest. Studies simply describing correlations or associations between risk factors and oral health, especially when such associations have been demonstrated previously, are of lower program priority. Health economics studies could include natural history studies on the impact of changes in health care policy upon craniofacial-related treatment services delivery and quality, or comparative effectiveness research to evaluate variations in the cost and cost-effectiveness across types of treatment interventions for craniofacial diseases and disorders.

Applications may also propose new statistical methodologies for analyzing oral and craniofacial health data. However, the need for and applicability of any proposed new statistical methodologies to oral and craniofacial research must be justified, and the new methodology must be applied to an oral health dataset.

For applications focusing on behavioral and social sciences, priority will be given to studies that help to identify the mechanisms of behavior change or mechanisms of action of an intervention as opposed to correlates, predictors, mediators, moderators, risk and protective factors, etc., which may be candidate mechanisms, but have not been demonstrated as having a causal link with the outcome(s) of interest. This emphasis on identifying causal mechanisms means that certain local, state or national surveys may not be appropriate sources of data for some research projects. Also, applicants are encouraged to consider a range of data sources to test causal explanations for oral health behavior, for example, audiotaped or videotaped sessions, provided informed consents/assents are secured. Given that behavioral and social factors important in oral health are also important in other health conditions, data sets about nutrition, health education or promotion, parenting, tobacco use, adherence to provider recommendations, organizational behavior, etc., also may be relevant data sources. Additional information about the priorities of NIDCR’s Behavioral and Social Sciences Research Branch can be found here: http://www.nidcr.nih.gov/research/DER/BSSRB/.

General Information

Document Type: Grants Notice
Funding Opportunity Number: PAR-15-344
Funding Opportunity Title: NIDCR Small Research Grants for Oral Health Data Analysis and Statistical Methodology Development (R03)
Opportunity Category: Discretionary
Funding Instrument Type: Grant
Category of Funding Activity: Health
Category Explanation:
Expected Number of Awards:
CFDA Number(s): 93.121 — Oral Diseases and Disorders Research
Cost Sharing or Matching Requirement: No
Posted Date: Sep 9, 2015
Creation Date: Sep 9, 2015
Original Closing Date for Applications: Sep 7, 2018  
Current Closing Date for Applications: Sep 7, 2018  
Archive Date: Oct 8, 2018
Estimated Total Program Funding:
Award Ceiling:
Award Floor:

Eligibility

Eligible Applicants:
Private institutions of higher education
Public housing authorities/Indian housing authorities
Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education
Native American tribal organizations (other than Federally recognized tribal governments)
For profit organizations other than small businesses
Native American tribal governments (Federally recognized)
State governments
County governments
Public and State controlled institutions of higher education
Independent school districts
Small businesses
Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education
Others (see text field entitled “Additional Information on Eligibility” for clarification)
Special district governments
City or township governments
Additional Information on Eligibility: Other Eligible Applicants include the following: Alaska Native and Native Hawaiian Serving Institutions; Asian American Native American Pacific Islander Serving Institutions (AANAPISISs); Eligible Agencies of the Federal Government; Faith-based or Community-based Organizations; Hispanic-serving Institutions; Historically Black Colleges and Universities (HBCUs); Indian/Native American Tribal Governments (Other than Federally Recognized); Non-domestic (non-U.S.) Entities (Foreign Organizations); Regional Organizations; Tribally Controlled Colleges and Universities (TCCUs) ; U.S. Territory or Possession.

Additional Information

Agency Name: National Institutes of Health
Description: The goal of this funding opportunity announcement is to support meritorious research projects that involve secondary data analyses of existing oral or craniofacial database resources, or to develop needed statistical methodology for analyzing oral and craniofacial data using existing oral or craniofacial databases. The R03 grant mechanism supports research limited in time and amount for studies in categorical program areas.
Link to Additional Information: http://grants.nih.gov/grants/guide/pa-files/PAR-15-344.html