Data Science Research Program at NIST Information Access Division
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 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.
International Journal of Data Science and Analytics
, Greenberg, C.
, Fontana, P.
, Przybocki, M.
, Le Bras, M.
, Ploehn, C.
, Aulov, O.
, Golden III, E.
and Chang, W.
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 7, 2022)