Opportunity number
NSF 17-546
National Science Foundation (NSF)
Big Data Hubs and Spokes
Due date
Big Data Education Information Technologies
Project funding
Program funding
Funding size
Up to $5M

Big Data Hubs and Spokes

RFP Summary provided by the agency

The BD Hubs and BD Spokes network will serve convening and coordinating roles to help bring together a wide range of regional, national, and international Big Data stakeholders in order to connect solution seekers with solution providers. Such a brain trust is expected to augment and ideate new research efforts via forums, meetings, workshops, challenges, and other convening activities. This solicitation aims to augment the BD Hubs and the existing BD Spokes by establishing a series of additional BD Spokes, with each BD Spoke proposing activities on a topic that aligns with the priorities identified by the corresponding BD Hubs. BD Spokes must work in close concert with their corresponding regional BD Hub to formulate their research agendas and plan their activities. BD Spokes are expected to be action-oriented, making measurable progress towards specific goals within their topic area, using Big Data technologies. Proposed BD Spoke projects are expected to focus on their articulated regional challenges and opportunities. In particular, this solicitation welcomes submissions addressing the following areas of emphasis:

  1. Education
  2. Data Intensive Research in the Social, Behavioral, and Economic Sciences
  3. Data-driven Research in Chemistry
  4. Neuroscience
  5. Data Analytics for Security
  6. Replicability and Reproducibility in Data Science

What is the mission and focus of the program: research, social, economic or others?


How do you submit to this opportunity?

Proposers may opt to submit proposals in response to this Program Solicitation via Grants.gov or via the NSF FastLane system.

Who are the target applicants: cities, universities, companies, small business, nonprofits, or others?

Universities and Colleges – Universities and two- and four-year colleges (including community colleges) accredited in, and having a campus located in, the US acting on behalf of their faculty members. Such organizations also are referred to as academic institutions.
Non-profit, non-academic organizations: Independent museums, observatories, research labs, professional societies and similar organizations in the U.S. associated with educational or research activities.
State and Local Governments: State educational offices or organizations and local school districts.

Example project(s) summaries from past RFPs:

BD Spokes: SPOKE: WEST: Collaborative: MetroInsight: Knowledge Discovery and Real-Time Interventions from Sensory Data Flows in Urban Spaces Start Date: September 1, 2016 End Date: August 31, 2019 (Estimated)Awarded Amount to Date: $179,117. Sponsor: Arizona State University. The MetroInsight project is building an end to end system for knowledge discovery from real-time data streams collected through a variety of sensors, data collection and aggregation methods. These data streams are highly dimensional with multiple sensors observing same or similar phenomena over multiple sensory spectrums and scales. These are also sometimes real-time and/or have strong timing relationships that is necessary to support metropolitan infrastructure through effective analytics and policy support.

(ii) Example project(s) summaries from past RFPs:

BD Spokes: SPOKE: NORTHEAST: Collaborative: A Licensing Model and Ecosystem for Data Sharing. Start Date: September 1, 2016. End Date: August 31, 2019 (Estimated) Awarded Amount to Date: $322,552. Sponsor: Brown University.

This new data sharing spoke will enable data providers to easily share data while enforcing constraints on the use of the data. Many services and platforms that provide access to data sets exist already today. However, these platforms generally promote completely open access and do not address the aforementioned issues that arise when dealing with proprietary data. Thus, the effort has three key components: (1) Creating a licensing model for data that facilitates sharing data that is not necessarily open or free between different organizations and (2) developing a prototype data sharing software platform, ShareDB, which enforces the terms and restrictions of the developed licenses, and (3) developing and integrating relevant metadata that will accompany the datasets shared under the different licenses, making them easily searchable and interpretable.

Other required documents/forms


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