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Displaying 1 - 25 of 40

NIST Big Data Interoperability Framework: Volume 2, Big Data Taxonomies

November 18, 2019
Author(s)
Wo L. Chang, Nancy Grady
Big Data is a term used to describe the large amount of data in the networked, digitized, sensor-laden, information-driven world. While opportunities exist with Big Data, the data can overwhelm traditional technical approaches and the growth of data is

NIST Big Data Interoperability Framework: Volume 1, Definitions

October 21, 2019
Author(s)
Wo L. Chang, Nancy Grady
Big Data is a term used to describe the large amount of data in the networked, digitized, sensor-laden, information-driven world. The growth of data is outpacing scientific and technological advances in data analytics. Opportunities exist with Big Data to

NIST Big Data Interoperability Framework: Volume 4, Security and Privacy

October 21, 2019
Author(s)
Wo L. Chang, Arnab Roy, Mark Underwood
Big Data is a term used to describe the large amount of data in the networked, digitized, sensor-laden, information-driven world. While opportunities exist with Big Data, the data can overwhelm traditional technical approaches and the growth of data is

NIST Big Data Interoperability Framework: Volume 6, Reference Architecture

October 21, 2019
Author(s)
Wo L. Chang, David Boyd, Orit Levin
Big Data is a term used to describe the large amount of data in the networked, digitized, sensor-laden, information-driven world. While opportunities exist with Big Data, the data can overwhelm traditional technical approaches, and the growth of data is

NIST Big Data Interoperability Framework: Volume 7, Standards Roadmap

October 21, 2019
Author(s)
Wo L. Chang, Russell Reinsch, David Boyd, Carl Buffington
While opportunities exist with Big Data, the data can overwhelm traditional technical approaches. To advance progress in Big Data, the NIST Big Data Public Working Group (NBD-PWG) is working to develop consensus on important, fundamental concepts related

NIST Big Data Interoperability Framework: Volume 9, Adoption and Modernization

October 21, 2019
Author(s)
Wo L. Chang, Russell Reinsch, Claire C. Austin
The potential for organizations to capture value from Big Data improves every day as the pace of the Big Data revolution continues to increase, but the level of value captured by companies deploying Big Data initiatives has not been equivalent across all

NIST Big Data Interoperability Framework: Volume 1, Big Data Definitions [Version 2]

June 26, 2018
Author(s)
Wo L. Chang, Nancy Grady, NBD-PWG NIST Big Data Public Working Group
Big Data is a term used to describe the large amount of data in the networked, digitized, sensor- laden, information-driven world. The growth of data is outpacing scientific and technological advances in data analytics. Opportunities exist with Big Data to

NIST Big Data Interoperability Framework: Volume 2, Big Data Taxonomies [Version 2]

June 26, 2018
Author(s)
Wo L. Chang, Nancy Grady, NBD-PWG NIST Big Data Public Working Group
Big Data is a term used to describe the large amount of data in the networked, digitized, sensor- laden, information-driven world. While opportunities exist with Big Data, the data can overwhelm traditional technical approaches and the growth of data is

NIST Big Data Interoperability Framework: Volume 9, Adoption and Modernization

June 26, 2018
Author(s)
Wo L. Chang, Russell Reinsch, NBD-PWG NIST Big Data Public Working Group
The potential for organizations to capture value from Big Data improves every day as the pace of the Big Data revolution continues to increase, but the level of value captured by companies deploying Big Data initiatives has not been equivalent across all

A New International Data Science Program

August 4, 2016
Author(s)
Bonnie J. Dorr, Craig Greenberg, Peter Fontana, Mark A. Przybocki, Marion Le Bras, Cathryn A. Ploehn, Oleg Aulov, Wo L. Chang
This article sets out to examine foundational issues in data science including current challenges, basic research questions, and expected advances, as the basis for a new Data Science Research Program and associated Data Science Evaluation (DSE) series

Data Science Research Program at NIST Information Access Division

August 4, 2016
Author(s)
Bonnie J. Dorr, Craig Greenberg, Peter Fontana, Mark A. Przybocki, Marion Le Bras, Cathryn A. Ploehn, Oleg Aulov, Edmond J. Golden III, Wo L. Chang
We examine foundational issues in data science including current challenges, basic research questions, and expected advances, as the basis for a new Data Science Initiative and evaluation series, introduced by the Information Access Division at the

The NIST IAD Data Science Evaluation Series: Part of the NIST Information Access Division Data Science Research Program

October 29, 2015
Author(s)
Bonnie J. Dorr, Craig Greenberg, Peter Fontana, Mark A. Przybocki, Marion Le Bras, Cathryn A. Ploehn, Oleg Aulov, Wo L. Chang
The Information Access Division (IAD) of the National Institute of Standards and Technology (NIST) launched a new Data Science Research Program (DSRP) in the fall of 2015. This research program focuses on evaluation-driven research and will establish a new

The NIST Plan for Providing Public Access to Results of Federally Funded Research

October 27, 2015
Author(s)
Katherine E. Sharpless, Regina L. Avila, Sally S. Bruce, Wo L. Chang, Robert M. Dimeo, Virginia Covahey, Alan K. Dohne, Heather M. Evans, Aaron P. Fein, Donna J. Kimball, Andrea M. Medina-Smith, Alan E. Munter, James K. Olthoff, Dianne L. Poster, Kathleen M. Roberts, Susannah B. Schiller, John H. Scott, Barbara P. Silcox, James A. St Pierre, Mark D. Stiles
Documentation of the evolution of NIST's plan for providing public access to results of federally funded research is provided, including the plan itself, responses to comments made by NIST staff, and public comments received in response to a request for

NIST Big Data Interoperability Framework: Volume 1, Big Data Definitions

October 22, 2015
Author(s)
Wo L. Chang, Nancy Grady, NBD-PWG NIST Big Data Public Working Group
Big Data is a term used to describe the large amount of data in the networked, digitized, sensor- laden, information-driven world. While opportunities exist with Big Data, the data can overwhelm traditional technical approaches and the growth of data is

NIST Big Data Interoperability Framework: Volume 2, Big Data Taxonomies

October 22, 2015
Author(s)
Wo L. Chang, Nancy Grady, Community Resilience Program NIST
Big Data is a term used to describe the large amount of data in the networked, digitized, sensor- laden, information-driven world. While opportunities exist with Big Data, the data can overwhelm traditional technical approaches and the growth of data is

NIST Big Data Interoperability Framework: Volume 3, Use Cases and General Requirements

October 22, 2015
Author(s)
Wo L. Chang, Geoffrey Fox, NBD-PWG NIST Big Data Public Working Group
Big Data is a term used to describe the large amount of data in the networked, digitized, sensor-laden, information-driven world. While opportunities exist with Big Data, the data can overwhelm traditional technical approaches and the growth of data is

NIST Big Data Interoperability Framework: Volume 4, Security and Privacy

October 22, 2015
Author(s)
Wo L. Chang, Arnab Roy, Mark Underwood, NBD-PWG NIST Big Data Public Working Group
Big Data is a term used to describe the large amount of data in the networked, digitized, sensor-laden, information-driven world. While opportunities exist with Big Data, the data can overwhelm traditional technical approaches and the growth of data is

NIST Big Data Interoperability Framework: Volume 5, Architectures White Paper Survey

October 22, 2015
Author(s)
Wo L. Chang, Sanjay Mishra, NBD-PWG NIST Big Data Public Working Group
Big Data is a term used to describe the large amount of data in the networked, digitized, sensor-laden, information-driven world. While opportunities exist with Big Data, the data can overwhelm traditional technical approaches and the growth of data is