bibliosferaБиблиосфераBibliosphere1815-31862712-7931ГПНТБ СО РАН10.20913/1815-3186-2019-4-97-102bibliosfera-334Research ArticleОБЗОРЫOVERVIEWSОпределение новых ролей библиотек университетов в поддержке исследований, основанных на больших данныхIdentifying new roles for academic libraries in supporting data-intensive researchКолтайТ.KoltayT.

Колтай Тибор, доктор наук, профессор, Институт обучающих технологий

Koltay Tibor, Dr. habil., PhD, Professor, Institute of Learning Technologies

Jászberény

koltay.tibor@uni-eszterhazy.huУниверситет им. Кароя ЭстерхазиВенгрияEszterházy Károly UniversityHungary2019100120200497102Copyright © Колтай Т., 20192019Колтай Т.Koltay T.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.bibliosphere.ru/jour/article/view/334

Появление исследований, основанных на больших данных, побуждает научные и университетские библиотеки предоставлять услуги ученым, которые работают с исследовательскими данными. Несмотря на то что это является императивом для библиотек во всем мире, уровень их готовности к участию в соответствующей деятельности отличается от страны к стране. В то время как некоторые из услуг, связанных с этим направлением, являются довольно новыми, другие в значительной степени опираются на традиционные, хорошо известные навыки библиотекарей. В работе на основе обзора новейшей литературы представлены как теоретические, так и практические вопросы, которые помогут в постановке задач и составлении перечня необходимых навыков и умений. Показано, что наиболее очевидными направлениями развития сервиса в университетских библиотеках для поддержки информационно-интенсивной науки являются управление исследовательскими данными, курирование данных, обучение пользователей и библиотекарей информационной грамотности.

Reacting to the appearance of data-intensive research prompts academic libraries to become service providers for scholars, who work with research data. Although this is an imperative for libraries worldwide, due to the differences between countries and institutions, the level of readiness to engage in related activities differs from country to country. While some of the related tasks are fairly novel, others heavily build on librarians’ traditional, well-known skills. To identify these tasks, as well as making an inventory of the required skills and abilities, this paper, based on a non-exhaustive review of the recent literature, presents both theoretical and practical issues. It is demonstrated that the most obvious directions of the service development in academic libraries to support data-intensive science are research data management, data curation, data literacy education for users, and data literacy education for librarians.

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The authors declare that there are no conflicts of interest present.