Opportunity Information: Apply for 13 519
Apply for 13 519
- The National Science Foundation in the science and technology and other research and development sector is offering a public funding opportunity titled "Building Community and Capacity for Data Intensive Research in the Social, Behavioral, and Economic Sciences and in Education and Human Resources" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 47.075 Social, Behavioral, and Economic Sciences 47.076 Education and Human Resources 47.080 Office of Cyberinfrastructure.
- This funding opportunity was created on Feb 27, 2013 and posted on Dec 3, 2012.
- Applicants must submit their applications by Feb 27, 2013 Full Proposal Deadline(s) February 27, 2013. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- The funding agency has allocated a total of $5,000,000.00 to eligible and selected applicants.
- The number of recipients for this funding is limited to 25 candidate(s).
- Eligible applicants include: Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled Additional Information on Eligibility.
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Opportunity Summary:
The National Science Foundation (NSF) grant opportunity titled "Building Community and Capacity for Data Intensive Research in the Social, Behavioral, and Economic Sciences and in Education and Human Resources" (Funding Opportunity Number 13-519) was part of NSF's broader Cyberinfrastructure Framework for 21st Century Science and Engineering (CIF21) effort. In plain terms, this program was designed to help research communities organize themselves and build the shared capacity needed to do modern, data-intensive science in areas tied to social, behavioral, economic, and education research. Rather than focusing narrowly on one project or one discipline, NSF was looking for proposals that could help catalyze larger, field-shaping advances by creating the kinds of data resources, tools, and collaborative structures that many researchers could use.
A central goal of the opportunity was community-building around next-generation data capabilities. NSF sought activities that would help groups of investigators develop a shared vision, form strong interdisciplinary teams, and strengthen the technical and organizational foundations required to support large-scale data resources. That includes not just collecting or curating data, but also developing analytic techniques and approaches that make those data scientifically useful. The emphasis on "visions, teams, and capabilities" signals that NSF wanted coordinated efforts that move beyond individual labs, aiming instead at infrastructure and methods that can enable new classes of research questions across multiple fields.
The program explicitly targeted fundamental research advancement within NSF's Social, Behavioral, and Economic Sciences (SBE) and Education and Human Resources (EHR) domains, while also encouraging applicants to think more broadly than those areas alone. NSF invited investigators to propose ideas that "extend intellectually across multiple disciplines," meaning the strongest proposals would likely connect expertise from different research communities (for example, social science, education research, statistics, computer science, information science, or domain-specific subfields) to tackle challenges that no single discipline could address well on its own. The intended outcome was impact at scale: enabling data-intensive research that could open up new research directions, improve rigor and reproducibility, and support broader use by the research community.
From a funding and administrative standpoint, this was a discretionary grant program in the Science and Technology and other Research and Development category. NSF anticipated making about 25 awards, supported by an estimated total funding level of $5,000,000. There was no cost sharing or matching requirement, which generally lowers barriers for participation and allows applicants to propose activities based on scientific and community value rather than on an ability to provide non-federal funds. The opportunity was listed under CFDA numbers 47.075 (Social, Behavioral, and Economic Sciences), 47.076 (Education and Human Resources), and 47.080 (Office of Cyberinfrastructure), reflecting the joint interest across those NSF units.
Eligibility was described as unrestricted, meaning it was open to any type of entity, subject to any additional eligibility clarifications provided in the full program text. The announcement was posted on December 3, 2012, with a full proposal deadline of February 27, 2013, and it was later archived on March 27, 2013. For applicants at the time, NSF pointed to the full solicitation as "NSF Publication 13-519" and provided a support contact (grantsgovsupport@nsf.gov) for access and submission issues.
Overall, the opportunity can be summarized as an NSF effort to seed and strengthen cross-disciplinary communities that can design, build, and sustain large-scale data resources and advanced analytics for social, behavioral, economic, and education research. The program was less about funding a single research result and more about enabling a step-change in what the broader research ecosystem could do with data, by aligning people, infrastructure, and methods around ambitious, shared visions.
Frequently Asked Questions (FAQs)
What is the NSF funding opportunity "Building Community and Capacity for Data Intensive Research in the Social, Behavioral, and Economic Sciences and in Education and Human Resources" (13-519)?
This NSF opportunity (Funding Opportunity Number 13-519; also referenced as NSF Publication 13-519) was part of NSF's broader Cyberinfrastructure Framework for 21st Century Science and Engineering (CIF21). It was designed to help research communities organize and build shared capacity for modern, data-intensive research in domains tied to Social, Behavioral, and Economic Sciences (SBE) and Education and Human Resources (EHR).
What was the main goal of this program?
The central goal was community-building around next-generation data capabilities. NSF sought proposals that could catalyze larger, field-shaping advances by developing shared data resources, tools, analytic approaches, and collaborative structures that many researchers could use, rather than supporting a single narrow project or one discipline.
What kinds of activities did NSF want to support?
NSF emphasized coordinated efforts focused on "visions, teams, and capabilities." This included activities that help investigators develop a shared vision, form strong interdisciplinary teams, and strengthen the technical and organizational foundations needed to support large-scale data resources. The scope included collecting or curating data as well as developing analytic techniques and approaches that make data scientifically useful.
Was this program focused on producing one specific research result?
No. The program was described as being less about funding a single research result and more about enabling a step-change in what the broader research ecosystem can do with data by aligning people, infrastructure, and methods around ambitious, shared visions.
Which NSF areas did this opportunity target?
The opportunity explicitly targeted fundamental research advancement within NSF's SBE and EHR domains, while also encouraging applicants to think beyond those areas alone when ideas and impacts extend across multiple disciplines.
Did NSF encourage interdisciplinary proposals?
Yes. NSF invited ideas that "extend intellectually across multiple disciplines." Strong proposals were expected to connect expertise from different research communities (for example, social science, education research, statistics, computer science, information science, or other domain-specific fields) to tackle challenges that no single discipline could address as effectively on its own.
What kind of impact was NSF aiming for?
The intended outcome was impact at scale: enabling data-intensive research that could open up new research directions, improve rigor and reproducibility, and support broader use by the research community.
How does this opportunity relate to cyberinfrastructure?
It was part of NSF's CIF21 effort and was also associated with NSF's Office of Cyberinfrastructure (reflected in CFDA 47.080). The emphasis on shared data resources, tools, and analytics aligns with the broader cyberinfrastructure goal of enabling advanced science and engineering through modern data and computing capabilities.
What was the funding category for this opportunity?
The program was a discretionary grant program in the Science and Technology and other Research and Development category.
How many awards did NSF expect to make, and what was the total anticipated funding?
NSF anticipated making about 25 awards, supported by an estimated total funding level of $5,000,000.
Was cost sharing or matching required?
No. The opportunity stated there was no cost sharing or matching requirement.
What CFDA numbers were associated with this opportunity?
The opportunity was listed under CFDA 47.075 (Social, Behavioral, and Economic Sciences), 47.076 (Education and Human Resources), and 47.080 (Office of Cyberinfrastructure).
Who was eligible to apply?
Eligibility was described as unrestricted, meaning it was open to any type of entity, subject to any additional eligibility clarifications in the full solicitation.
When was the opportunity posted and when were proposals due?
The announcement was posted on December 3, 2012. The full proposal deadline was February 27, 2013.
Is this funding opportunity still open?
No. The opportunity was later archived on March 27, 2013.
Where could applicants find the official solicitation details?
NSF directed applicants to the full solicitation referenced as "NSF Publication 13-519" for official requirements, clarifications, and submission instructions.
Who was the support contact for access or submission issues?
For access and submission issues, the support contact listed was grantsgovsupport@nsf.gov.
What types of proposals were likely to fit best with NSF's stated emphasis?
Based on the description, proposals most aligned with the program would be those that build community-level capabilities: shared data resources, broadly usable tools, advanced analytics, and organizational structures that support sustained, cross-disciplinary, data-intensive research across SBE and EHR-related areas.
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