Big data in systemic sclerosis: Great potential for the future. Issue 3 (October 2020)

• Record Type: Journal Article
• Authors: Radic, Mislav; Frech, Tracy M
• Is Part Of: Journal of scleroderma and related disorders. Volume 5:Issue 3(2020)
• Page Start: 172
• Page End: 177
• Publication Date: 2020-10
• Subjects: Systemic sclerosis -- big data -- rare diseases -- methodology -- registries; Scleroderma (Disease) -- Periodicals; Systemic scleroderma -- Periodicals; Fibrosis -- Periodicals; 616.544
• DOI: 10.1177/2397198320929805
• Languages: English
• ISSNs: 2397-1983

Abstract

Since it was first used in 1997, the term "big data" has been popularized; however, the concept of big data is relatively new to medicine. Big data refers to a method and technique to systematically retrieve, collect, manage, and analyze very large and complex sets of structured and unstructured data that cannot be sufficiently processed using traditional methods of processing data. Integrating big data in rare diseases with low prevalence and incidence, like systemic sclerosis is of particular importance. We conducted a literature review of use of big data in systemic sclerosis. The volume of data on systemic sclerosis has grown steadily in the recent years; however, big data methods have not been readily used. This inexhaustible source of data needs to be used more to unleash its full potential.