NSF Grant for Data-Intensive Research Community Development in SBE and EHR

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The NSF CIF21 activity under SBE, EHR, and Office of Cyberinfrastructure is offering grants to foster community building and capacity development for large-scale data-intensive research in social, behavioral, economic sciences, education, and human resources. Proposals should focus on creating next-generation data resources and analytic techniques with broad interdisciplinary impacts. Projects should transcend specific fields and aim to advance fundamental research in SBE and EHR sciences. Applications should envision research activities that push boundaries across disciplines and enable innovative data-intensive research. Closing date: May 22, 2012.

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Opportunity ID: 146455

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General Information

Document Type:: Grants Notice
Funding Opportunity Number:: 12-538
Funding Opportunity Title:: Building Community and Capacity for Data-Intensive Research in the Social, Behavioral, and Economic Sciences and in Education and Human Resources
Opportunity Category:: Discretionary
Opportunity Category Explanation::
Funding Instrument Type::
Category of Funding Activity:: Science and Technology and other Research and Development
Category Explanation::
Expected Number of Awards:: 60
Assistance Listings Number(s):: 47.075 — Social, Behavioral, and Economic Sciences
Cost Sharing or Matching Requirement:: No
Version:: Synopsis 1
Posted Date:: Feb 24, 2012
Last Updated Date::
Original Closing Date for Applications:: May 22, 2012
Current Closing Date for Applications:: May 22, 2012
Archive Date:: Jun 22, 2012
Estimated Total Program Funding:: $ 5,000,000
Award Ceiling:: $
Award Floor:: $

Eligibility

Eligible Applicants:: Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled “Additional Information on Eligibility”
Additional Information on Eligibility::

Additional Information

Agency Name:: National Science Foundation
Description:: As part of NSF’s Cyberinfrastructure Framework for 21st Century Science and Engineering (CIF21) activity, the Directorate for Social, Behavioral, and Economic Sciences (SBE), the Directorate for Education and Human Resources (EHR), and the Office of Cyberinfrastructure seek to enable research communities to develop visions, teams, and capabilities dedicated to creating new, large-scale, next-generation data resources and relevant analytic techniques to advance fundamental research for the SBE and EHR sciences. Successful proposals will outline activities that will have significant impacts across multiple fields by enabling new types of data-intensive research. Investigators should think broadly and create a vision that extends intellectually across multiple disciplines and that includes–but is not limited to–the SBE or EHR sciences.
Link to Additional Information::
Grantor Contact Information:: If you have difficulty accessing the full announcement electronically, please contact:

Version History

Version Modification Description Updated Date
Synopsis 1

Package Status

Below are CLOSED Opportunity Package(s) no longer available for this Funding Opportunity:

Package No: 1

Assistance Listings: 47.076
Competition ID:
Competition Title:
Opportunity Package ID: PKG00110970
Opening Date: Feb 24, 2012
Closing Date: May 22, 2012
Agency Contact Information:: Cheryl L. Eavey
Who Can Apply:: Organization and Individual Applicants
mendatory_forms SF424 (R & R) [V1.2]
Project/Performance Site Location(s) [V1.4]
Research And Related Other Project Information [V1.3]
Research And Related Senior/Key Person Profile (Expanded) [V1.2]
Research & Related Personal Data [V1.2]
Research & Related Budget [V1.1]
NSF Cover Page [V1.3]
optional_forms R & R Subaward Budget Attachment(s) Form [V1.2]
NSF Deviation Authorization [V1.1]
NSF Suggested Reviewers [V1.1]
NSF FastLane System Registration [V1.3]

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Packages

Assistance Listings Competition ID Competition Title Opportunity Package ID Opening Date Closing Date Actions Who Can Apply:
47.076 PKG00110970 Feb 24, 2012 May 22, 2012 View Cheryl L. Eavey Organization and Individual Applicants

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