The NIST IAD Data Science Research Program

Published

October 19, 2015

Author(s)

Bonnie J. Dorr, Peter C. Fontana, Craig S. Greenberg, Mark A. Przybocki, Marion Le Bras, Cathryn A. Ploehn, Oleg Aulov, Martial Michel, Edmond J. Golden III, Wo L. Chang

Abstract

We 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 evaluation series, introduced by the Information Access Division of the National Institute of Standards and Technology (NIST) in the fall of 2015. The evaluations will facilitate research efforts, collaboration, leverage shared infrastructure, and effectively address cross-cutting challenges faced by diverse data science communities. The evaluations will have multiple research tracks championed by members of the data science community, and will enable rigorous comparison of approaches through common tasks, datasets, metrics, and shared research challenges. The tracks will measure several different data science technologies in a wide range of fields, starting with a pre-pilot. In addition to developing data science evaluation methods and metrics, it will address computing infrastructure, standards for an interoperability framework, and domain-specific examples.

Proceedings Title

2015 IEEE International Conference on Data Science and Advanced Analytics

Conference Dates

October 19-21, 2015

Conference Location

Paris

Pub Type

Conferences

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Keywords

NIST data science program, NIST data science evaluation series, data science compute infrastructure, data science metrics, data science standards

Citation

Dorr, B. , Fontana, P. , Greenberg, C. , Przybocki, M. , Le, M. , Ploehn, C. , Aulov, O. , Michel, M. , Golden, E. and Chang, W. (2015), The NIST IAD Data Science Research Program, 2015 IEEE International Conference on Data Science and Advanced Analytics, Paris, -1, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=918807 (Accessed December 3, 2024)