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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">voprstat</journal-id><journal-title-group><journal-title xml:lang="ru">Вопросы статистики</journal-title><trans-title-group xml:lang="en"><trans-title>Voprosy Statistiki</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2313-6383</issn><issn pub-type="epub">2658-5499</issn><publisher><publisher-name>The Federal State Budgetary Institution "Scientific Research Institute for Socio-Economic Statistics of the Federal State Statistics Service" (Statistics Research Institute of Rosstat)</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.34023/2313-6383-2017-1-12-</article-id><article-id custom-type="elpub" pub-id-type="custom">voprstat-551</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>МЕЖДУНАРОДНАЯ СТАТИСТИКА И МЕЖДУНАРОДНЫЕ СОПОСТАВЛЕНИЯ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>INTERNATIONAL STATISTICS AND INTERNATIONAL COMPARISONS</subject></subj-group></article-categories><title-group><article-title>«Большие данные» и официальная статистика: обзор международной практики внедрения новых источников данных</article-title><trans-title-group xml:lang="en"><trans-title>Big Data and Official Statistics: An Overview of International Practice in Using New Data Sources</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-6169-3838</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Плеханов</surname><given-names>Дмитрий Александрович</given-names></name><name name-style="western" xml:lang="en"><surname>Dmitriy</surname><given-names>Plekhanov</given-names></name></name-alternatives><bio xml:lang="ru"><p>Ведущий специалист</p></bio><bio xml:lang="en"><p>Senior researcher</p></bio><email xlink:type="simple">plehanov@icss.ac.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Институт комплексных стратегических исследований (ИКСИ)</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Institute for Complex Strategic Studies (ICSS)</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2017</year></pub-date><pub-date pub-type="epub"><day>17</day><month>09</month><year>2018</year></pub-date><volume>1</volume><issue>12</issue><elocation-id>551</elocation-id><permissions><copyright-statement>Copyright &amp;#x00A9; Плеханов Д.А., 2017</copyright-statement><copyright-year>2017</copyright-year><copyright-holder xml:lang="ru">Плеханов Д.А.</copyright-holder><copyright-holder xml:lang="en">Dmitriy P.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://voprstat.elpub.ru/jour/article/view/551">https://voprstat.elpub.ru/jour/article/view/551</self-uri><abstract><p>Расширение использования компьютеров и прочих цифровых устройств и общее увеличение информационных потоков в современном мире привели к появлению новых источников информации об окружающей действительности. Эти источники, объединенные общим названием «большие данные», представляет исследователям уникальные возможности по проведению количественного анализа самых различных социально-экономических явлений. В данной статье представлен обзор исследовательских и пилотных проектов, которые были реализованы в последние годы национальными статистическими службами и международными организациями с целью изучения возможностей использования «больших данных» в официальной статистике. Обзор результатов проектов показывает, что внедрение «больших данных» в систему официальной статистике сталкивается с рядом серьезных ограничений, связанных с нерешенными вопросами в области методологии сбора и обработки новых данных, обеспечения доступа к данным и сохранения конфиденциальности информации, технических требований к инфраструктуре. В этой связи статистические показатели, которые рассчитывались бы исключительно на основе «больших данных», пока не получили распространения в официальной статистике. Основное внимание национальных статистических служб в настоящее время сконцентрировано на совместном использовании новых и традиционных источников данных. </p></abstract><trans-abstract xml:lang="en"><p>The growing use of digital devices and massive increase in information flows in the modern world brought about new sources of information concerning our everyday life. These sources, collectively known as Big Data, provide unique opportunities for researchers to analyze quantitative data on various social and economic developments. This paper provides a brief review of research and pilot projects, which have been carried out recently by national and international statistical organizations to analyze prospects of using Big Data sources in the official statistics. Results of surveyed projects indicate that use of Big Data in the official statistics is hindered by several serious impediments, such as unresolved questions concerning methodological approaches to analysis of new data sources, data access and protection of data confidentiality, technical requirements to new IT infrastructure. Therefore, the paper concludes that examples of statistical indicators calculated solely on the basis of Big Data sources are rare, and national statistical offices efforts are currently concentrated mainly on integration of Big Data sources with traditional sources of information.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>официальная статистика</kwd><kwd>большие данные</kwd><kwd>национальные статистические службы</kwd></kwd-group><kwd-group xml:lang="en"><kwd>official statistics</kwd><kwd>big data</kwd><kwd>national statistical offices</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Braaksma B., Zeelenberg K. 2015. «Re-Make/Re-Model»: Should Big Data Change the Modelling Paradigm in Official Statistics? 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