The NIST Information Technology Laboratory (ITL) has over 25 years of experience measuring and evaluating technology that is used to process, analyze, and derive knowledge from various structured and unstructured data, including text, audio/voice, imagery, video, and multimedia. ITL and the Information Access Division (IAD) within ITL have extended our current efforts by forming a new, cross-cutting data science program, focused on driving advancements in big data analytics. This focus, alongside our collaboration with industry, academia, and government, will accelerate development of these technologies as well as enable faster transition into government applications and the commercial market place.
As part of this program, ITL and IAD will create and manage a big data analytics evaluation series and develop a model of data science through which we can measure various attributes, e.g., component classes, component-level performance, end-to-end performance, flow analyses, and propagation of uncertainty. This approach will define metrology supporting objective comparison of approaches, identify key areas for improvement in big data analytics, and focus research community critical mass on the hard problems.
Our first data science symposium is being planned for March 2014, which will be set apart from other related symposia by our emphasis on advancing the technology through community-wide evaluations, metrics, reference datasets, and challenge tasks.
Current Data Science measurement and evaluation activities:
Lead Organizational Unit:itl
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