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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">10.34023/2313-6383-2019-26-7-55-66</article-id><article-id custom-type="elpub" pub-id-type="custom">voprstat-938</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</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>INTERNATIONAL STATISTICS</subject></subj-group></article-categories><title-group><article-title>Будущее международного обмена статистическими данными и новые проблемы взаимодействия</article-title><trans-title-group xml:lang="en"><trans-title>The Future of International Statistical Data Sharing and New Issues of Interaction</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-1253-4029</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Башина</surname><given-names>О. Э.</given-names></name><name name-style="western" xml:lang="en"><surname>Bashina</surname><given-names>O. E.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Башина Ольга Эмильевна - д-р. экон. наук, профессор, зав. кафедрой статистики, маркетинга и бухгалтерского учета, Россия, 111395, г. Москва, ул. Юности, 5</p></bio><bio xml:lang="en"><p>Olga E. Bashina - Dr. Sci. (Econ.), Professor, Head, Department of Statistics, Marketing and Accounting, 5, Yunosti St., Moscow, 111395, Russia</p></bio><email xlink:type="simple">bashina_o_e@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Комкова</surname><given-names>Н. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Komkova</surname><given-names>N. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Комкова Наталья Алексеевна - cоветник Управления статистики зарубежных стран и международных статистических проектов, Россия, 107450, г. Москва, Мясницкая, 39, стр. 1</p></bio><bio xml:lang="en"><p>Natal’ya A. Komkova - Adviser, International Statistics and Projects Department, 39, Miasnitskaya St., Bldg. 1, Moscow, 107450, Russia</p></bio><email xlink:type="simple">KomkovaNA@gks.ru</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-9080-7953</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Матраева</surname><given-names>Л. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Matraeva</surname><given-names>L. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Матраева Лилия Валериевна - д-р. экон. наук, доцент, профессор кафедры экономической теории и мировой экономики, Россия, 129226, г. Москва, ул. Вильгельма Пика, 4, стр. 1</p></bio><bio xml:lang="en"><p>Liliia V. Matraeva - Dr. Sci. (Econ.), Docent, Professor, Department of Economic Theory and World Economy, 4, Wilhelm Pieck St., Bldg. 1, Moscow, 129226, Russia</p></bio><email xlink:type="simple">matraeva@rambler.ru</email><xref ref-type="aff" rid="aff-3"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Косолапова</surname><given-names>В. Е.</given-names></name><name name-style="western" xml:lang="en"><surname>Kosolapova</surname><given-names>V. E.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Косолапова Валерия Евгеньевна - аспирант кафедры экономической теории и мировой экономики, Россия, 129226, г. Москва, ул. Вильгельма Пика, 4, стр. 1</p></bio><bio xml:lang="en"><p>Valeriya E. Kosolapova - Postgraduate Student, Department of Economic Theory and World Economy, 4, Wilhelm Pieck St., Bldg. 1, Moscow, 129226, Russia</p></bio><email xlink:type="simple">Kosolapova93@gmail.com</email><xref ref-type="aff" rid="aff-3"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Московский гуманитарный университет<country>Россия</country></aff><aff xml:lang="en">Moscow University for the Humanities<country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru">Федеральная служба государственной статистики (Росстат)<country>Россия</country></aff><aff xml:lang="en">Federal State Statistics Service (Rosstat)<country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-3"><aff xml:lang="ru">Российский государственный социальный университет<country>Россия</country></aff><aff xml:lang="en">Russian State Social University<country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2019</year></pub-date><pub-date pub-type="epub"><day>31</day><month>07</month><year>2019</year></pub-date><volume>26</volume><issue>7</issue><fpage>55</fpage><lpage>66</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Башина О.Э., Комкова Н.А., Матраева Л.В., Косолапова В.Е., 2019</copyright-statement><copyright-year>2019</copyright-year><copyright-holder xml:lang="ru">Башина О.Э., Комкова Н.А., Матраева Л.В., Косолапова В.Е.</copyright-holder><copyright-holder xml:lang="en">Bashina O.E., Komkova N.A., Matraeva L.V., Kosolapova V.E.</copyright-holder><license 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/938">https://voprstat.elpub.ru/jour/article/view/938</self-uri><abstract><p>Статья посвящена проблемам и перспективам внедрения международного стандарта обмена данными и метаданными (SDMX) и осуществления международного обмена статистическими данными и метаданными с применением данного стандарта. Определены возможные области использования стандарта, описан механизм реализации обмена данными и метаданными в соответствии со стандартом SDMX. На основе анализа отечественного и зарубежного опыта внедрения и использования стандарта выделены основные проблемы, которые могут быть классифицированы на три группы: общие, статистические, информационно-технологические. При этом они могут возникнуть на национальном уровне (при внедрении стандарта внутри страны), на международном уровне (при применении стандарта внутри международных организаций) и на национально-международном уровне (при осуществлении информационного взаимодействия между страновыми поставщиками статистических данных и международными организациями). Общие проблемы возникают на нормативно-правовом уровне и связаны с установлением границ ответственности организаций-контрагентов на всех трёх уровнях взаимодействия, а также в части наращивания потенциала применения стандарта SDMX. Проблемы чисто статистического характера встречаются наиболее часто по причине осуществления обмена большим количеством данных и метаданных, относящихся к различным тематическим областям статистики, структура формирования и передачи которых должна быть унифицирована. С развитием информационного обмена возникают проблемы постоянного мониторинга и расширения списков кодов, используемых в стандарте SDMX; при этом отмечается отсутствие универсальной структуры данных на международном уровне и, как следствие, сложность понимания и применения на национальном уровне существующих структур данных, разработанных международными организациями. Информационно-технологические вызовы связаны с построением ИТ-инфраструктуры для обмена данными и метаданными с использованием стандарта SDMX. ИТ-инфраструктура включает следующие элементы в зависимости от статуса участника процесса: инструменты, необходимые для принимающих организаций, инструменты для предоставляющих данные организаций и инфраструктура для ИТ-специалистов. По каждой из сформулированных проблем обоснованы авторские практические рекомендации на основе принципа комплексности применительно к внедрению международного стандарта обмена данными и метаданными SDMX.</p></abstract><trans-abstract xml:lang="en"><p>The article deals with challenges and prospects of implementation of the Statistical Data and Metadata eXchange (SDMX) standard and using it in the international sharing of statistical data and metadata. The authors identified potential areas where this standard can be used, described a mechanism for data and metadata sharing according to SDMX standard. Major issues classified into three groups - general, statistical, information technology - were outlined by applying both domestic and foreign experience of implementation of the standard. These issues may arise at the national level (if the standard is implemented domestically), at the international level (when the standard is applied by international organizations), and at the national-international level (if the information is exchanged between national statistical data providers and international organizations). General issues arise at the regulatory level and are associated with establishing boundaries of responsibility of counterpart organizations at all three levels of interaction, as well as in terms of increasing the capacity to apply the SDMX standard. Issues of statistical nature are most often encountered due to the sharing of large amounts of data and metadata related to various thematic areas of statistics; there should be a unified structure of data and metadata generation and transmission. With the development of information sharing, arise challenges and issues associated with continuous monitoring and expanding SDMX code lists. At the same time, there is a lack of a universal data structure at the international level and, as a result, it is difficult to understand and apply at the national level the existing data structures developed by international organizations. Challenges of information technology are related to creating an IT infrastructure for data and metadata sharing using the SDMX standard. The IT infrastructure (depending on the participant status) includes the following elements: tools for the receiving organizations, tools for sending organization and the infrastructure for the IT professionals. For each of the outlined issues, the authors formulated some practical recommendations based on the complexity principle as applied to the implementation of the international SDMX standard for the exchange of data and metadata.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>международный стандарт обмена информацией</kwd><kwd>обмен данными и метаданными</kwd><kwd>SDMX</kwd><kwd>информационная модель</kwd><kwd>международное информационное взаимодействие</kwd><kwd>международная статистика</kwd><kwd>описание структуры данных (DSD)</kwd><kwd>описание структуры метаданных (MSD)</kwd></kwd-group><kwd-group xml:lang="en"><kwd>international standard for information exchange</kwd><kwd>data and metadata sharing</kwd><kwd>SDMX</kwd><kwd>information model</kwd><kwd>international information interaction</kwd><kwd>international statistics</kwd><kwd>Data Structure Definition (DSD)</kwd><kwd>Metadata Structure Definitions (MSD)</kwd></kwd-group><funding-group xml:lang="ru"><funding-statement>Исследование выполнено при финансовой поддержке РФФИ в рамках проекта проведения научных исследований ≪Исследование потенциала отечественных производителей по обеспечению импортозамещения на потребительском рынке с использованием технологий BigData≫, проект № 17-02-00718 и в рамках проекта проведения научных исследований ≪Разработка подходов к созданию системы оценки состояния и определения перспективных направлений развития научной сферы≫, проект № 16-02-00407.</funding-statement></funding-group><funding-group xml:lang="en"><funding-statement>The study was funded by the Russian Foundation for Basic Research as part of the research project ≪Investigating the Potential of Domestic Producers to Ensure Import Substitution in the Consumer Market Using Big Data Technologies≫, grant No. 17-02-00718 and project ≪Developing Approaches to Creating a System for Assessing the State and Identifying Promising Areas for the Development of the Scientific Sphere≫, grant No. 16-02-00407.</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Boden M., Cagnin C., Carabias V., Haegeman K. 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