Big data - librarian: opportunities for Ukraine

Abstract

Purpose of the article. To analyze the development of Big Data technologies and find out possible innovations for Ukrainian libraries related to this area. Methodology of the research is based on systemic and structural approaches, on methods of comparative, logical and structural-functional analysis, including interdisciplinary approach. Scientific novelty. The concepts and basic approaches of Big Data are revealed and the possibilities of their implementation as an additional task for librarians are noted. The latest foreign research on the implementation of projects based on arrays of large statistical data is analyzed. The role of libraries in Big Data processing and the approaches of Western libraries in this context are noted. Among them are four main concepts of using Big data, which are already followed by many libraries: the library as a place to store and describe acceptable for processing by Big data methods; use of statistical arrays to improve and optimize the work of the libraries themselves; creation and development of "workplace" - a librarian of big data, which involves the implementation of certain tasks in the application of "data science". In addition, several possible areas for innovation with data for industry, district, research and university libraries are proposed. Conclusions. World experience shows that Big Data technologies have been actively implemented in libraries for more than five years and this process is still developing. Despite the fact that the approaches to Big data are quite diverse, one of the most promising areas is the separation of large statistical data processing into a separate type of library activities. In Ukraine, such implementations are also absolutely real, provided that librarians are trained and equipped with software. The value of such an innovation would be invaluable, as domestic libraries would finally be able to overcome the technological gap and offer users modern information services.

Keywords

• big data, libraries, innovations, big data librarian.