{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T16:47:32Z","timestamp":1768927652473,"version":"3.49.0"},"reference-count":86,"publisher":"Emerald","issue":"6","license":[{"start":{"date-parts":[[2018,8,13]],"date-time":"2018-08-13T00:00:00Z","timestamp":1534118400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JD"],"published-print":{"date-parts":[[2018,8,24]]},"abstract":"<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n<jats:p>As an emerging discipline, data science represents a vital new current of school of library and information science (LIS) education. However, it remains unclear how it relates to information science within LIS schools. The purpose of this paper is to clarify this issue.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>Mission statement and nature of both data science and information science are analyzed by reviewing existing work in the two disciplines and drawing DIKW hierarchy. It looks at the ways in which information science theories bring new insights and shed new light on fundamentals of data science.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>Data science and information science are twin disciplines by nature. The mission, task and nature of data science are consistent with those of information science. They greatly overlap and share similar concerns. Furthermore, they can complement each other. LIS school should integrate both sciences and develop organizational ambidexterity. Information science can make unique contributions to data science research, including conception of data, data quality control, data librarianship and theory dualism. Document theory, as a promising direction of unified information science, should be introduced to data science to solve the disciplinary divide.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>The results of this paper may contribute to the integration of data science and information science within LIS schools and iSchools. It has particular value for LIS school development and reform in the age of big data.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/jd-02-2018-0036","type":"journal-article","created":{"date-parts":[[2018,8,13]],"date-time":"2018-08-13T04:34:06Z","timestamp":1534134846000},"page":"1243-1257","source":"Crossref","is-referenced-by-count":46,"title":["Twinning data science with information science in schools of library and information science"],"prefix":"10.1108","volume":"74","author":[{"given":"Lin","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","published-online":{"date-parts":[[2018,8,13]]},"reference":[{"issue":"2","key":"key2021041507440963600_ref001","first-page":"103","article-title":"Data analytics vs data science: a study of similarities and differences in undergraduate programs based on course descriptions","volume":"26","year":"2015","journal-title":"Journal of Information Systems Education"},{"issue":"3","key":"key2021041507440963600_ref002","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":"6","key":"key2021041507440963600_ref003","doi-asserted-by":"crossref","first-page":"1279","DOI":"10.1002\/asi.23043","article-title":"Data, information, knowledge: an information science analysis","volume":"65","year":"2014","journal-title":"Journal of Association for Information Science and Technology"},{"issue":"12","key":"key2021041507440963600_ref004","doi-asserted-by":"crossref","first-page":"1043","DOI":"10.1002\/(SICI)1097-4571(1999)50:12<1043::AID-ASI1>3.0.CO;2-X","article-title":"The invisible substrate of information science","volume":"50","year":"1999","journal-title":"Journal of the American Society for Information Science"},{"issue":"1","key":"key2021041507440963600_ref005","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1145\/1120501.1120507","article-title":"The data-document distinction revisited","volume":"37","year":"2006","journal-title":"ACM SIGMIS Database"},{"issue":"6","key":"key2021041507440963600_ref006","doi-asserted-by":"crossref","first-page":"1059","DOI":"10.1002\/asi.22634","article-title":"The conundrum of sharing research data","volume":"63","year":"2012","journal-title":"Journal of the American Society for Information Science and Technology"},{"issue":"1","key":"key2021041507440963600_ref007","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1002\/asi.5090190103","article-title":"Information science: what is it?","volume":"19","year":"1968","journal-title":"American Documentation"},{"key":"key2021041507440963600_ref008","volume-title":"What is Documentation?","year":"1951\/2006"},{"key":"key2021041507440963600_ref009","unstructured":"Brookes, B.C. 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