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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">gpntb</journal-id><journal-title-group><journal-title xml:lang="ru">Научные и технические библиотеки</journal-title><trans-title-group xml:lang="en"><trans-title>Scientific and Technical Libraries</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1027-3689</issn><issn pub-type="epub">2686-8601</issn><publisher><publisher-name>Russian National Public Library for Science and Technology</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.33186/1027-3689-2022-11-56-81</article-id><article-id custom-type="elpub" pub-id-type="custom">gpntb-1037</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>НАУКОМЕТРИЯ. БИБЛИОМЕТРИЯ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>SCIENTOMETRICS. BIBLIOMETRICS</subject></subj-group></article-categories><title-group><article-title>Методика формирования выборки публикаций для подготовки научных обзоров</article-title><trans-title-group xml:lang="en"><trans-title>Methodology for selecting publications for scientific reviews</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Малышева</surname><given-names>А. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Malysheva</surname><given-names>A. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Малышева Александра Валерьевна – младший научный сотрудник лаборатории наукометрии и научных коммуникаций</p><p>Москва</p></bio><bio xml:lang="en"><p>Aleksandra V. Malysheva – Junior Researcher, Laboratory for Scientometrics and Scholarly Communications</p><p>Moscow</p></bio><email xlink:type="simple">bag_bala@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>Косяков</surname><given-names>Д. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Kosyakov</surname><given-names>D. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Косяков Денис Викторович – заместитель заведующего лаборатории наукометрии и научных коммуникаций</p><p>Москва</p></bio><bio xml:lang="en"><p>Denis V. Kosyakov – Deputy Head of the Laboratory for Scientometrics and Scholarly Communications</p><p>Moscow</p></bio><email xlink:type="simple">kosyakov@sciencepulse.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>Гуськов</surname><given-names>А. Е.</given-names></name><name name-style="western" xml:lang="en"><surname>Guskov</surname><given-names>A. E.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Гуськов Андрей Евгеньевич – кандидат технических наук, заведующий лабораторией наукометрии и научных коммуникаций</p><p>Москва</p></bio><bio xml:lang="en"><p>Andrey E. Guskov – Cand. Sc. (Engineering), Head of the Laboratory for Scientometrics and Scholarly Communications</p><p>Moscow</p></bio><email xlink:type="simple">guskov.andrey@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Российский научно-исследовательский институт экономики, политики и права в научно-технической сфере</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Russian Research Institute of Economics, Politics and Law in Science and Technology</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2022</year></pub-date><pub-date pub-type="epub"><day>14</day><month>12</month><year>2022</year></pub-date><volume>0</volume><issue>11</issue><fpage>56</fpage><lpage>81</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Малышева А.В., Косяков Д.В., Гуськов А.Е., 2022</copyright-statement><copyright-year>2022</copyright-year><copyright-holder xml:lang="ru">Малышева А.В., Косяков Д.В., Гуськов А.Е.</copyright-holder><copyright-holder xml:lang="en">Malysheva A.V., Kosyakov D.V., Guskov A.E.</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://ntb.gpntb.ru/jour/article/view/1037">https://ntb.gpntb.ru/jour/article/view/1037</self-uri><abstract><p>Поиск и отбор публикаций для подготовки обзорной статьи являются задачей, решение которой находится на стыке между наукой и искусством. С увеличением публикационного потока исследователям всё сложнее выделять из него релевантные работы, имеющие определённую значимость для научного сообщества. Методологический подход, описанный в статье, позволяет систематизировать подбор публикаций для обзоров, значительно сократив число случайных ошибок и субъективных отклонений. Он упорядочивает процедуры подготовки стартовой выборки, её расширения, усечения и анализа, которые выполняются в несколько итераций, по их результатам формируются финальная выборка, её аналитические характеристики и формальный протокол подготовки. В статье описаны содержание методики и пример применения для тематики «привлечённый библиотекарь» («embedded librarian»). На этом примере продемонстрированы преимущества предложенного подхода по сравнению с традиционным методом поиска по ключевым словам: возможность использования различных вариантов поисковых стратегий, обеспечение их воспроизводимости и большей полноты результирующей выборки. Описанная методика может применяться в научных и научно-технических библиотеках в целях развития сервисов для информационного сопровождения исследовательской деятельности.</p></abstract><trans-abstract xml:lang="en"><p>The task of searching and selecting publications for scientific reviews is located on the intersection of science and art. The increasing publication flow has made it all harder to reveal relevant and important papers for scientific community. The methodological approach being described enables to organize selecting publications for reviews while decreasing accidental mistakes and subjective declinations; it is to structure primary selection with its further expansion, reduction and analysis, that can be accomplished in several iterations resulting in the final selection, its analytical features and formalized protocol. The authors describe the method structure and provide the example for the subject “embedded librarian”. This example demonstrates the advantages of the approach as compared to the traditional search by keywords: various variants of search strategies are applicable; their repeatability and exhaustiveness of resulted selection. The method can be applied in academic and sci-tech libraries to develop their services supporting science and research.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>обзор</kwd><kwd>систематический обзор</kwd><kwd>методика подготовки обзоров</kwd><kwd>анализ цитирования</kwd><kwd>поисковые стратегии</kwd><kwd>ядро из релевантных публикаций</kwd><kwd>embedded librarian</kwd></kwd-group><kwd-group xml:lang="en"><kwd>review</kwd><kwd>systematic review</kwd><kwd>citation analysis</kwd><kwd>methodology for the preparation of reviews</kwd><kwd>search strategies</kwd><kwd>relevant publications core</kwd><kwd>embedded librarian</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">Yu Z., Menzies T. FAST2: An intelligent assistant for finding relevant papers // Expert Systems with Applications. 2019. Vol. 120. 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