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Data Science Research Program at NIST Information Access Division

Published

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

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 Initiative and evaluation series, introduced by the Information Access Division at 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.
Citation
International Journal of Data Science and Analytics

Keywords

Data Science Research Initiative, Data Science Evaluation Series, Data Science Compute Infrastructure, Data Science Metrics, Data Science Standards

Citation

Dorr, B. , Greenberg, C. , Fontana, P. , Przybocki, M. , Le Bras, M. , Ploehn, C. , Aulov, O. , Golden III, E. and Chang, W. (2016), Data Science Research Program at NIST Information Access Division, International Journal of Data Science and Analytics, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=920000 (Accessed December 1, 2021)
Created August 3, 2016, Updated October 14, 2021