{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T08:27:33Z","timestamp":1772353653460,"version":"3.50.1"},"reference-count":86,"publisher":"Emerald","issue":"5","license":[{"start":{"date-parts":[[2020,10,13]],"date-time":"2020-10-13T00:00:00Z","timestamp":1602547200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["DTA"],"published-print":{"date-parts":[[2020,10,13]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title><jats:p>The purpose of this paper is to present the results of a study exploring the emerging field of data science from the library and information science (LIS) perspective.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title><jats:p>Content analysis of research publications on data science was made of papers published in the Web of Science database to identify the main themes discussed in the publications from the LIS perspective.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>A content analysis of 80 publications is presented. The articles belonged to the six broad categories: data science education and training; knowledge and skills of the data professional; the role of libraries and librarians in the data science movement; tools, techniques and applications of data science; data science from the knowledge management perspective; and data science from the perspective of health sciences. The category of tools, techniques and applications of data science was most addressed by the authors, followed by data science from the perspective of health sciences, data science education and training and knowledge and skills of the data professional. However, several publications fell into several categories because these topics were closely related.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Research limitations\/implications<\/jats:title><jats:p>Only publication recorded in the Web of Science database and with the term \u201cdata science\u201d in the topic area were analyzed. Therefore, several relevant studies are not discussed in this paper that either were related to other keywords such as \u201ce-science\u201d, \u201ce-research\u201d, \u201cdata service\u201d, \u201cdata curation\u201d, \u201cresearch data management\u201d or \u201cscientific data management\u201d or were not present in the Web of Science database.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>The paper provides the first exploration by content analysis of the field of data science from the perspective of the LIS.<\/jats:p><\/jats:sec>","DOI":"10.1108\/dta-07-2020-0167","type":"journal-article","created":{"date-parts":[[2020,10,12]],"date-time":"2020-10-12T02:50:50Z","timestamp":1602471050000},"page":"643-663","source":"Crossref","is-referenced-by-count":24,"title":["Data science and its relationship to library and information science: a content analysis"],"prefix":"10.1108","volume":"54","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8427-2414","authenticated-orcid":false,"given":"Sirje","family":"Virkus","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8232-6634","authenticated-orcid":false,"given":"Emmanouel","family":"Garoufallou","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"issue":"3","key":"key2020110202065236100_ref001","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1287\/isre.2014.0546","article-title":"Big data, data science, and analytics: the opportunity and challenge for IS research","volume":"25","year":"2014","journal-title":"Information Systems Research"},{"issue":"2","key":"key2020110202065236100_ref002","doi-asserted-by":"crossref","first-page":"1071","DOI":"10.1007\/s11192-018-2688-8","article-title":"Writing styles in different scientific disciplines: a data science approach","volume":"115","year":"2018","journal-title":"Scientometrics"},{"issue":"1","key":"key2020110202065236100_ref003","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1093\/jamia\/ocx120","article-title":"Reproducible Bioconductor workflows using browser-based interactive notebooks and containers","volume":"25","year":"2018","journal-title":"Journal of the American Medical Informatics Association"},{"key":"key2020110202065236100_ref004","first-page":"15","article-title":"Data science and analytics","volume-title":"Big Data in Healthcare, SpringerBriefs in Pharmaceutical Science and Drug Development","year":"2017"},{"issue":"4","key":"key2020110202065236100_ref005","doi-asserted-by":"crossref","first-page":"557","DOI":"10.5860\/crl.75.4.557","article-title":"Dealing with data: science librarians\u2019 participation in data management at association of research libraries institutions","volume":"75","year":"2014","journal-title":"College and Research Libraries"},{"key":"key2020110202065236100_ref006","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1016\/j.wpi.2018.07.002","article-title":"The state-of-the-art on intellectual property analytics (IPA): a literature review on artificial intelligence, machine learning and deep learning methods for analysing intellectual property (IP) data","volume":"55","year":"2018","journal-title":"World Patent Information"},{"key":"key2020110202065236100_ref007","first-page":"139","article-title":"A graphic matching process for searching and retrieving information in digital libraries of manuscripts","volume-title":"Digital Libraries and Multimedia Archives. 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