The Networking and Information Technology Research and Development (NITRD) Program's member agencies coordinate their NITRD research activities and plans by Program Component Areas (PCAs) or program focus areas. For each PCA, agency representatives meet in an Interagency Working Group (IWG) to exchange information and collaborate on research plans and activities such as testbeds, workshops, and cooperative solicitations.
The Big Data Interagency Working Group (BD IWG) focuses on R&D to improve the management and analysis of large-scale data, the purpose of which is to develop the ability to extract knowledge and insight from large, diverse, and disparate sources of data, including mechanisms for data capture, curation, management, and access.
NITRD -> NITRD Groups -> BD IWG
The Big Data Interagency Working Group (BD IWG) focuses on R&D to improve the management and analysis of large-scale data, the purpose of which is to develop the ability to extract knowledge and insight from large, diverse, and disparate sources of data, including mechanisms for data capture, curation, management,visualization, and access.
The BD IWG, formerly known as the Big Data Senior Steering Group, was formed in early 2011 to identify current big data research and development activities across the Federal Government; offer opportunities for coordination among agencies, academia, and the private sector; and help establish the goals for a National Big Data R&D Initiative. In the interim, many agencies established Big Data programs and initiatives and the focus of the group turned to synthesizing lessons learned and developing a cross agency Federal Big Data R&D Strategic Plan. This Plan is scheduled for release in early 2016. Moving forward, the Big Data IWG will continue to promulgate the Strategic Plan, further explore the strategies outlined in it, and address issues related to large scale data management as they arise.
See the BD IWG Charter for more information.
Susan Gregurick, Ph.D.
The purpose of the HCI&IM TF is to support development of a "science of visualization", to enable development of a framework or taxonomy of visualization tasks, relevant perceptual and cognitive principles, and measures for evaluating the understandability or effectiveness of visualizations. The HCI&IM TF will also support development of useful, end-to-end visualization tools that efficiently and effectively support data access and use, scalability of the tools and infrastructure, and visual presentation to the individual end user.
In November of 2014, the National Science Foundation published a Request for Input (RFI) about the establishment of a national network of Regional Innovation Hubs that would foster cross-sector collaborations and partnerships around Big Data. To convene local stakeholders and further the discussion, a series of 15 day-long intensive design workshops (i.e. charrettes) are taking place around the country in April, 2015. In these charrettes, stakeholders from academia, industry, government and non-profit sectors will discuss how an Innovation Hub might be structured and governed as to best address the challenges and leverage the opportunities around Big Data within its region.
To establish this national network, the National Science Foundation has announced a funding opportunity: the Big Data Regional Innovation Hubs (BD Hubs) program.
Aiming to make the most of the fast-growing volume of digital data, in March 2012, the Obama Administration announced the “Big Data Research and Development Initiative.” By improving our ability to extract knowledge and insights from large and complex collections of digital data, the initiative promises to help solve some the Nation’s most pressing challenges. The Big Data Interagency Working Group continues to work with the White House Office of Science and Technology along with several Federal departments and agencies to help further the goals of the Initiative which strive to:
Beginning in the second year of the National Big Data Initiative, the Administration is encouraging multiple stakeholders including federal agencies, private industry, academia, state and local government, non-profits, and foundations, to develop and participate in Big Data innovation projects across the country. The Administration is particularly interested in projects and initiatives that:
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