Kütüphanelerde Veriye Dayalı Karar Verme: TBMM Kütüphanesi Koleksiyonunun Kullanım Analizi
Ambargo SüresiAcik erisim
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The library statistical data can be used to improve the services offered to the users. Descriptive statistics of print and Open Access (OA) collections in libraries will support data-based decision-making processes of the library collection and its user. Also it is possible to prepare for the international comparison of library services by ensuring the compliance of the library activity reports with the standards. In this research, it is aimed to obtain findings that will contribute to data-based decision-making processes by describing the printed and physical collection of the Parliamentary Library (PL). The starting point of the research is the problem that, PL collection could not borrowed for long times and users could not use the collection sufficiently. On this research descriptive analysis and document analysis methods used with data obtained from PL archives, KOHA automation system, DSpace open access system and PL activity reports. The data cleaned, grouped and analyzed with descriptive statistics by bussiness analytics software. According to the research findings, 81% of the ~312.000 books belonging to the library have never been borrowed in the last 14 years, 20% of the unused books are in the field of Social Sciences, and the most preferred publications are in the field of Literature. It has also been understood that the collection is mostly used by the deputies and they prefer History books. It has been seen that the most read author is "Dostoyevsky". According to the findings obtained in line with the OA collection, the most preferred works are on the subject of Literature and the most searched words are "divan, haritalar, Türk Parlamento Tarihi ". As a result of the document analysis applied in the library policy texts, it was revealed that "The Parliamentary Library does not have a policy for collection use analysis", and the main hypothesis was confirmed.