{"title":"Using Big Data by Ukrainian official statistics when martial law applies: problems\n and solutions","authors":"O. Osaulenko, O. Horobets","doi":"10.59170/stattrans-2023-003","DOIUrl":null,"url":null,"abstract":"The article is focused on issues of the secure operation of official statistics in\n Ukraine during the application of martial law. It was found that the gaps in\n conventional sources of statistical data caused by the war needed to be filled with data\n from alternative sources, including Big Data. The level of digitalisation in Ukraine as\n the basis for using Big Data was analysed by the proposed indices of internetisation,\n social progress and digital transformation. Thanks to our research, several problems\n (methodological, legal, financial, and managerial) were identified as vital for\n statistical offices on their way to the implementation of Big Data in statistical\n processes. Our proposals concern tools for Big Data processing, such as Data Hypercube\n as a way for presenting Big Data for their visualisation, applications of Web scraping\n in estimating the consumer prices index, analyses of labour and real estate markets, and\n the applications of specialised software for the collection, processing and analysis of\n Big Data sets.","PeriodicalId":37985,"journal":{"name":"Statistics in Transition","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistics in Transition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.59170/stattrans-2023-003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 1
Abstract
The article is focused on issues of the secure operation of official statistics in
Ukraine during the application of martial law. It was found that the gaps in
conventional sources of statistical data caused by the war needed to be filled with data
from alternative sources, including Big Data. The level of digitalisation in Ukraine as
the basis for using Big Data was analysed by the proposed indices of internetisation,
social progress and digital transformation. Thanks to our research, several problems
(methodological, legal, financial, and managerial) were identified as vital for
statistical offices on their way to the implementation of Big Data in statistical
processes. Our proposals concern tools for Big Data processing, such as Data Hypercube
as a way for presenting Big Data for their visualisation, applications of Web scraping
in estimating the consumer prices index, analyses of labour and real estate markets, and
the applications of specialised software for the collection, processing and analysis of
Big Data sets.
期刊介绍：
Statistics in Transition (SiT) is an international journal published jointly by the Polish Statistical Association (PTS) and the Central Statistical Office of Poland (CSO/GUS), which sponsors this publication. Launched in 1993, it was issued twice a year until 2006; since then it appears - under a slightly changed title, Statistics in Transition new series - three times a year; and after 2013 as a regular quarterly journal." The journal provides a forum for exchange of ideas and experience amongst members of international community of statisticians, data producers and users, including researchers, teachers, policy makers and the general public. Its initially dominating focus on statistical issues pertinent to transition from centrally planned to a market-oriented economy has gradually been extended to embracing statistical problems related to development and modernization of the system of public (official) statistics, in general.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
