Abstract：Data science from a library and information science perspective Purpose Data science is a relatively new field which has gained considerable attention in recent yearsThis new field requires a wide range of knowledge and skills from different disciplines including mathematics and statisticscomputer science and information scienceThe purpose of this paper is to present the results of the study that explored the field of data science from the library and information scienceLISperspectiveDesignmethodologyapproach Analysis of research publications on data science was made on the basis of papers published in the Web of Science databaseThe following research questions were proposedWhat are the main tendencies in publication yearsdocument typescountries of originsource titlesauthors of publicationsaffiliations of the article authors and the most cited articles related to data science in the field of LISWhat are the main themes discussed in the publications from the LIS perspectiveFindings The highest contribution to data science comes from the computer science research communityThe contribution of information science and library science community is quite smallHoweverthere has been continuous increase in articles from the year 2015The main document types are journal articlesfollowed by conference proceedings and editorial materialThe top three journals that publish data science papers from the LIS perspective are the Journal of the American Medical Informatics Associationthe International Journal of Information Management and the Journal of the Association for Information Science and TechnologyThe top five countries publishing are USAChinaEnglandAustralia and IndiaThe most cited article has got 112 citationsThe analysis revealed that the data science field is quite interdisciplinary by natureIn addition to the field of LIS the papers belonged to several other research areasThe reviewed articles belonged to the six broad categoriesdata science education and trainingknowledge and skills of the data professionalthe role of libraries and librarians in the data science movementtoolstechniques and applications of data sciencedata science from the knowledge management perspectiveand data science from the perspective of health sciencesResearch limitationsimplications The limitations of this research are that this study only analyzed research papers in the Web of Science database and therefore only covers a certain amount of scientific papers published in the field of LISIn additiononly publications with the termdata sciencein the topic area of the Web of Science database were analyzedThereforeseveral relevant studies are not discussed in this paper that are not reflected in the Web of Science database or were related to other keywords such ase-sciencee-researchdata servicedata curationorresearch data managementOriginalityvalue The field of data science has not been explored using bibliographic analysis of publications from the perspective of the LISThis paper helps to better understand the field of data science and the perspectives for information professionalsLibrary AutomationThis article refers to the toolstechnology and applications of data sciencewhich may be related to library automationConsulting ServiceThe article mentioned the knowledge and skills of data professionalswhich may involve consulting servicesCollection ClassificationThe perspective of the knowledge management of data science may be related to the classification of collectionsRetrieval and IndexingConsidering the exploration and analysis characteristics of data sciencethis part is related to retrieval and indexesThis study explores the field of data science from the perspective of library and information scienceLISIt involves the analysis of data science related research documents published in the Web of Science databaseData exploration refers to the analysis and integration of these research publications here