The National Institute on Drug Abuse (NIDA) is offering a grant to support the application of Big Data analytics in uncovering new insights into substance abuse and addiction processes. The grant aims to develop advanced analytical methods and visualization tools to analyze complex datasets from various drug addiction studies, leveraging technologies to understand the impact of chronic drug use on the human brain and behavior. Researchers are encouraged to propose computational approaches for processing and interpreting large datasets, contributing to the advancement of drug abuse research. Closing date: Jan 24, 2018.
Opportunity ID: 282053
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | PA-16-119 |
| Funding Opportunity Title: | The Application of Big Data Analytics to Drug Abuse Research (R01) |
| Opportunity Category: | Discretionary |
| Opportunity Category Explanation: | – |
| Funding Instrument Type: | Grant |
| Category of Funding Activity: | Education Health |
| Category Explanation: | – |
| Expected Number of Awards: | – |
| Assistance Listings: | 93.279 — Drug Abuse and Addiction Research Programs |
| Cost Sharing or Matching Requirement: | No |
| Version: | Synopsis 2 |
| Posted Date: | Mar 09, 2016 |
| Last Updated Date: | Nov 27, 2017 |
| Original Closing Date for Applications: | May 07, 2019 |
| Current Closing Date for Applications: | Jan 24, 2018 |
| Archive Date: | Feb 23, 2018 |
| Estimated Total Program Funding: | – |
| Award Ceiling: | – |
| Award Floor: | – |
Eligibility
| Eligible Applicants: | For profit organizations other than small businesses Others (see text field entitled “Additional Information on Eligibility” for clarification) Public housing authorities/Indian housing authorities City or township governments Native American tribal governments (Federally recognized) County governments Special district governments Public and State controlled institutions of higher education Small businesses Independent school districts Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education State governments Native American tribal organizations (other than Federally recognized tribal governments) Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education Private institutions of higher education |
| 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 FOA is to encourage the application of Big Data analytics to reveal deeper or novel insights into the biological and behavioral processes associated with substance abuse and addiction.NIDA recognizes that to accelerate progress toward understanding how the human brain and behavior is altered by chronic drug use and addiction, it is vital to develop more powerful analytical methods and visualization tools that can help capture the richness of data being generated from genetic, epigenetic, molecular, proteomic, metabolomic, brain-imaging, micro-electrode, behavioral, clinical, social, services, environmental studies as well as data generated from electronic health records.Applications for this FOA should develop and/or utilize computational approaches for analyzing large, complex datasets acquired from drug addiction research.The rapid increase of technologies to acquire unprecedented amounts of neurobiological and behavioral data, and an expanding capacity to store those data, results in great opportunity to bring to bear the power of the computational methods of Big Data analytics on drug abuse and addiction. |
| Link to Additional Information: | http://grants.nih.gov/grants/guide/pa-files/PA-16-119.html |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
NIH OER Webmaster
FBOWebmaster@OD.NIH.GOV Email:FBOWebmaster@OD.NIH.GOV |
Version History
| Version | Modification Description | Updated Date |
|---|---|---|
| This FOA has been reissued and will close on January 24, 2018. Applicants must use reissued FOA with FORMS-E application forms for due dates on or after January 25, 2018 | Nov 27, 2017 | |
| Nov 27, 2017 |
DISPLAYING: Synopsis 2
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | PA-16-119 |
| Funding Opportunity Title: | The Application of Big Data Analytics to Drug Abuse Research (R01) |
| Opportunity Category: | Discretionary |
| Opportunity Category Explanation: | – |
| Funding Instrument Type: | Grant |
| Category of Funding Activity: | Education Health |
| Category Explanation: | – |
| Expected Number of Awards: | – |
| Assistance Listings: | 93.279 — Drug Abuse and Addiction Research Programs |
| Cost Sharing or Matching Requirement: | No |
| Version: | Synopsis 2 |
| Posted Date: | Mar 09, 2016 |
| Last Updated Date: | Nov 27, 2017 |
| Original Closing Date for Applications: | May 07, 2019 |
| Current Closing Date for Applications: | Jan 24, 2018 |
| Archive Date: | Feb 23, 2018 |
| Estimated Total Program Funding: | – |
| Award Ceiling: | – |
| Award Floor: | – |
Eligibility
| Eligible Applicants: | For profit organizations other than small businesses Others (see text field entitled “Additional Information on Eligibility” for clarification) Public housing authorities/Indian housing authorities City or township governments Native American tribal governments (Federally recognized) County governments Special district governments Public and State controlled institutions of higher education Small businesses Independent school districts Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education State governments Native American tribal organizations (other than Federally recognized tribal governments) Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education Private institutions of higher education |
| 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 FOA is to encourage the application of Big Data analytics to reveal deeper or novel insights into the biological and behavioral processes associated with substance abuse and addiction.NIDA recognizes that to accelerate progress toward understanding how the human brain and behavior is altered by chronic drug use and addiction, it is vital to develop more powerful analytical methods and visualization tools that can help capture the richness of data being generated from genetic, epigenetic, molecular, proteomic, metabolomic, brain-imaging, micro-electrode, behavioral, clinical, social, services, environmental studies as well as data generated from electronic health records.Applications for this FOA should develop and/or utilize computational approaches for analyzing large, complex datasets acquired from drug addiction research.The rapid increase of technologies to acquire unprecedented amounts of neurobiological and behavioral data, and an expanding capacity to store those data, results in great opportunity to bring to bear the power of the computational methods of Big Data analytics on drug abuse and addiction. |
| Link to Additional Information: | http://grants.nih.gov/grants/guide/pa-files/PA-16-119.html |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
NIH OER Webmaster
FBOWebmaster@OD.NIH.GOV Email:FBOWebmaster@OD.NIH.GOV |
DISPLAYING: Synopsis 1
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | PA-16-119 |
| Funding Opportunity Title: | The Application of Big Data Analytics to Drug Abuse Research (R01) |
| Opportunity Category: | Discretionary |
| Opportunity Category Explanation: | – |
| Funding Instrument Type: | Grant |
| Category of Funding Activity: | Education Health |
| Category Explanation: | – |
| Expected Number of Awards: | – |
| Assistance Listings: | 93.279 — Drug Abuse and Addiction Research Programs |
| Cost Sharing or Matching Requirement: | No |
| Version: | Synopsis 1 |
| Posted Date: | Nov 27, 2017 |
| Last Updated Date: | – |
| Original Closing Date for Applications: | – |
| Current Closing Date for Applications: | May 07, 2019 |
| Archive Date: | Jun 07, 2019 |
| Estimated Total Program Funding: | – |
| Award Ceiling: | – |
| Award Floor: | – |
Eligibility
| Eligible Applicants: | Independent school districts Native American tribal organizations (other than Federally recognized tribal governments) Private institutions of higher education Small businesses Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education Native American tribal governments (Federally recognized) State governments Others (see text field entitled “Additional Information on Eligibility” for clarification) Public and State controlled institutions of higher education City or township governments For profit organizations other than small businesses County governments Public housing authorities/Indian housing authorities Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education Special district 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 purpose of this FOA is to encourage the application of Big Data analytics to reveal deeper or novel insights into the biological and behavioral processes associated with substance abuse and addiction.NIDA recognizes that to accelerate progress toward understanding how the human brain and behavior is altered by chronic drug use and addiction, it is vital to develop more powerful analytical methods and visualization tools that can help capture the richness of data being generated from genetic, epigenetic, molecular, proteomic, metabolomic, brain-imaging, micro-electrode, behavioral, clinical, social, services, environmental studies as well as data generated from electronic health records.Applications for this FOA should develop and/or utilize computational approaches for analyzing large, complex datasets acquired from drug addiction research.The rapid increase of technologies to acquire unprecedented amounts of neurobiological and behavioral data, and an expanding capacity to store those data, results in great opportunity to bring to bear the power of the computational methods of Big Data analytics on drug abuse and addiction. |
| Link to Additional Information: | http://grants.nih.gov/grants/guide/pa-files/PA-16-119.html |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
NIH OER Webmaster
FBOWebmaster@OD.NIH.GOV Email:FBOWebmaster@OD.NIH.GOV |
Related Documents
There are no related documents on this grant.
Packages
| Agency Contact Information: | NIH OER Webmaster FBOWebmaster@OD.NIH.GOV Email: FBOWebmaster@OD.NIH.GOV |
| Who Can Apply: | Organization Applicants |
| Assistance Listing Number | Competition ID | Competition Title | Opportunity Package ID | Opening Date | Closing Date | Actions |
|---|---|---|---|---|---|---|
| FORMS-D | Use for due dates on or before January 24, 2018 | PKG00221543 | May 05, 2016 | Jan 24, 2018 | View |
Package 1
Mandatory forms
282053 RR_SF424_2_0-2.0.pdf
282053 PHS398_CoverPageSupplement_3_0-3.0.pdf
282053 RR_OtherProjectInfo_1_3-1.3.pdf
282053 PerformanceSite_2_0-2.0.pdf
282053 RR_KeyPersonExpanded_2_0-2.0.pdf
282053 PHS398_ResearchPlan_3_0-3.0.pdf
Optional forms
282053 RR_Budget_1_3-1.3.pdf
282053 RR_SubawardBudget30_1_3-1.3.pdf
282053 PHS398_ModularBudget_1_2-1.2.pdf
282053 PHS_Inclusion_Enrollment_Report-1.0.pdf
282053 PHS_AssignmentRequestForm-1.0.pdf
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