ALTERNATIVE SOURCES OF INFORMATION TO SUPPORT A SET OF STATISTICAL INDICATORS OF THE BOOK PUBLISHING

  • Olena Horobets Postgraduate Student, National Academy of Statistics, Accounting and Audit, Ukraine
Keywords: book publishing, set of statistical indicators, official statistics, alternative sources of data, big data

Abstract

Issues of supporting the book publishing as an economic activity by a set of statistical indicators are investigated. It is found out that the existing set of statistical indicators does not meet the needs of researchers and practitioners, which is the case of not only Ukraine, but the global book publishing area. The case of the Ukrainian book publishing is taken for analysis to identify core problems faced by this industry. It is emphasized that a comprehensive study of the book publishing industry and presentation of the statistical information with high level of quality and aggregation requires the involvement of new alternative sources of data, of which big data should be highlighted. The component of scientific novelty is that an updated system of statistical indicators is proposed for the first time, with eight modules of sources of statistical information as alternative ones: questionnaires, electronic books, digital libraries, websites of publishers and bookstores, electronic diaries of reading (Goodreads as an example), social networks (Instagram, Facebook, Telegram (open channels)), video hosts (YouTube being the most popular one), and blogs. It is stressed that all the modules of alternative data must be involved for obtaining reliable data, where output data will be processed anew and have direct and reverse links, which will require the use of neural networks with efferent type of links. This statistical support to the book publishing industry is an innovation designed to meet urgent needs of the public and official statistics.

References

Osaulenko O. H. (Eds.) (2012). Statystychnyi slovnyk [Statistical glossary]. Kyiv: “Information-analytical agency”, p. 138 [in Ukrainian].

European Commission. (2012). ESSnet‐Culture Final Report, Luxembourg. Retrieved from: https://ec.europa.eu/assets/eac/culture/library/reports/ess-net-report_en.pdf.

Derzhavnyi komitet telebachennia ta radiomovlennia. Departament informatsiinoi polityky. Nedostavliannia oboviazkovoho prymirnyka vydan zahrozhuie vtratoiu natsionalnoho nadbannia [The State Committee on Television and Boradcasting. Department of Information Policy. Not providing the obligatory copy of editions threatens with loss of the national treasure]. 28.04.2010. Retrieved from http://comin.kmu.gov.ua/control/uk/publish/printable_article?art_id=74701. [in Ukrainian].

United Nations Statistics Division. Fundamental Principles of Official Statistics (A/RES/68/261 from 29 January 2014). Retrieved from: https://unstats.un.org/unsd/dnss/gp/fundprinciples.aspx.

Osaulenko O. H. (2017). Ofitsiina statystyka v systemi natsionalnoi informatsiinoi bezpeky [The official statistics in the system of the national information security]. Kyiv: “August Trade”, pp. 259–260 [in Ukrainian].

United Nations. Economic Commission for Europe. (26–28 June 2019). New data sources for official statistics – access, use and new skills. Note by United Nations Statistics Division. Paris. Retrieved from: https://www.unece.org/fileadmin/DAM/stats/documents/ece/ces/2019/ECE_CES_2019_41.pdf.

Eastern Partnership Civil Society Facility. (November, 2018). The Data Deluge: Blessing or Curse? Ideas from DataFest Tbilisi. Retrieved from: http://eapcivilsociety.eu/news/project-news/the-data-deluge-blessing-or-curse-ideas-from-datafest-tbilisi-november-2018.html.

Korepanov O. S. (2018). Metodolohichni zasady statystychnoho zabezpechennia upravlinnia rozvytkom «rozumnykh» mist v Ukraini [Methodological foundations for statistical support to management of “smart cities” development in Ukraine]. Kyiv: “Information-analytical agency”, p. 228 [in Ukrainian].

Sariohlo V. H. (2016). “Velyki dani” yak dzherelo informatsii ta instrumentarii dlia ofitsiinoi statystyky: potentsial, problemy, perspektyvy [Big data as a source of information and a tool for the official statistics: potentials, problems, prospects]. Statystyka Ukrainy – Statistics of Ukraine, 4, 12–19. Retrieved from http://nbuv.gov.ua/UJRN/su_2016_4_5. [in Ukrainian].

Ukrainskyi instytut knyhy. Chytannia v konteksti mediaspozhyvannia: vplyv karantynu na chytatsku povedinku ukraintsiv [The Ukrainian Institute of Book. Reading in the context of media consumption: the impact of the quarantine on the reading behavior of Ukrainians]. Retrieved from https://drive.google.com/file/d/15eZw4iK-ldrXewQLFQ63el_8nBE-GFqU/view. [in Ukrainian].

Kotsovskyi V. M. (2013). Neironni systemy: konspekt lektsii [Neural networks: lecture notes]. Uzhhorod, p.13. Retrieved from https://dspace.uzhnu.edu.ua/jspui/bitstream/lib/16450/1/%D0%9D%D0%B5%D0%B9%D1%80%D0%BE%D0%BD%D0%BD%D1%96%20%D1%81%D0%B8%D1%81%D1%82%D0%B5%D0%BC%D0%B8.%20%D0%9B%D0%B5%D0%BA%D1%86%D1%96%D1%97.pdf. [in Ukrainian].

OECD. (2013). Exploring the Economics of Personal Data: A Survey of Methodologies for Measuring Monetary Value, OECD Digital Economy Papers No. 220, OECD Publishing, Paris. Retrieved from http://dx.doi.org/10.1787/5k486qtxldmq-en.

European Union Agency for Fundamental Rights. EU Charter of Fundamental Rights. Article 8, Protection of personal data. Retrieved from https://fra.europa.eu/en/charterpedia/article/8-protection-personal-data.

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Published
2020-12-11
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How to Cite
Olena Horobets. (2020). ALTERNATIVE SOURCES OF INFORMATION TO SUPPORT A SET OF STATISTICAL INDICATORS OF THE BOOK PUBLISHING. International Journal of Innovative Technologies in Economy, (5(32). https://doi.org/10.31435/rsglobal_ijite/30122020/7284