Currently “Big Data” is an emerging field that presents several Information Technology challenges regarding the capture, storage search, structure, and visualization of this data. The real challenge for organizations is to find ways to extract value from it and provide better services to their clients. The data generated in academic and other institutions is vast and complex. Libraries face new challenges as they seek to determine their role in the handling of Big Data within their organization and use it to develop services. Thus, in most organizations, libraries will not have the knowledge to build new services unaided. Furthermore, libraries have always been information handlers and technology adopters; therefore, Big Data technologies will certainly affect their context. The purpose of this paper is to explore all these issues through a systematic literature review, unveiling the theories that underpin the paper’s argument. It attempts to answer several research questions, such as how librarians are involved in the Big Data era? And what are the future research developments of Big Data within the library context? The study considered only papers published between 2012 and 2018 in English and presents the collected literature by grouping them according to the type of library each paper refers to. Thus, it identifies new and evolving roles in the context of all types of libraries. In addition, the study presents several interesting tables, which aim to help librarians locate relevant articles that will inform their practice and guide service development for users of large and complex datasets.

Purpose: Marketing supports the reaching of organizational goals by focusing on the identification and satisfaction of customer needs, thus it can also contribute considerably in achieving the objectives of non‐profit organizations such as libraries. The purpose of this paper is to provide an overview of the literature on the incorporation of marketing notions and the implementation of marketing techniques in library management. It reviews definitions, present different opposing views, marketing issues, social media and Web 2.0 and opinions on the adoption of marketing in a non‐profit organization environment, and examines different successful examples of marketing implementation, concentrating on the gains resulting from such a move.Design/methodology/approach: A thorough literature search on various databases and on various aspects of this topic was reviewed. The literature review is organised on emerging themes directly drawn from the literature, thematically and chronologically within each section. It aims to identify the changing perspectives, the current challenges, and the benefits offered by examining information science specialists' views. The main marketing concepts are identified throughout a strategic planning approach, which has been recommended as the most successful by the majority of researchers.Findings: This paper examines and clarifies the existing misunderstandings and difficulties in library and information services marketing, and stresses the importance of its adoption in this contemporary competitive environment. It examines library marketing in six sections: misconceptions regarding library marketing, main challenges and reasons as to why the adoption of marketing concepts is an integral part of the strategic planning, reports on the international library organizations, provides a description of the implementation of strategic marketing and planning processes, presents some library marketing approaches and examines the contemporary technological opportunities for library marketing in the digital era, such as the use of Web 2.0 tools.Originality/value: The paper broadens the library marketing literature by gathering researchers' scientific views and advice and identifies the main implementation concerns derived from the earlier and more recent relevant literature. Moreover, for the first time, IT records issues concerning library marketing, social media and Web 2.0.

Purpose: Data science is a relatively new field which has gained considerable attention in recent years. This new field requires a wide range of knowledge and skills from different disciplines including mathematics and statistics, computer science and information science. The purpose of this paper is to present the results of the study that explored the field of data science from the library and information science (LIS) perspective. Design/methodology/approach: Analysis of research publications on data science was made on the basis of papers published in the Web of Science database. The following research questions were proposed: What are the main tendencies in publication years, document types, countries of origin, source titles, authors of publications, affiliations of the article authors and the most cited articles related to data science in the field of LIS? What are the main themes discussed in the publications from the LIS perspective? Findings: The highest contribution to data science comes from the computer science research community. The contribution of information science and library science community is quite small. However, there has been continuous increase in articles from the year 2015. The main document types are journal articles, followed by conference proceedings and editorial material. The top three journals that publish data science papers from the LIS perspective are the Journal of the American Medical Informatics Association, the International Journal of Information Management and the Journal of the Association for Information Science and Technology. The top five countries publishing are USA, China, England, Australia and India. The most cited article has got 112 citations. The analysis revealed that the data science field is quite interdisciplinary by nature. In addition to the field of LIS the papers belonged to several other research areas. The reviewed 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. Research limitations/implications: 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 LIS. In addition, only publications with the term “data science” in the topic area of the Web of Science database were analyzed. Therefore, several 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 as “e-science,” “e-research,” “data service,” “data curation” or “research data management.” Originality/value: The field of data science has not been explored using bibliographic analysis of publications from the perspective of the LIS. This paper helps to better understand the field of data science and the perspectives for information professionals.

The Semantic Web in general and the Linked Open Data Initiative, in particular, are a growing movement for organisations to make their existing data available in a machine-readable format. Thus, institutions are highly encouraged to publish, share and interlink their data publicly. The more data are opened on the Web (Open Data), the more integrated sets of data will be connected in the Semantic Web (Linked Open Data). Within this context, libraries can complement their data by linking it to other, external data sources. The purpose of this article is to identify papers that refer to linked data in libraries, emphasising the ways that linked data empower libraries to put their knowledge in the context of the open-world, thus enhancing semantic technology innovations. The study considered papers published between 2008 and 2019 in English and presents the collected literature by grouping it according to the topic each paper refers to. The results show that libraries are facing a period of continuing change which present several challenges and indicate that they are moving towards developing new practices, policies and services.

Purpose: 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.Design/methodology/approach: 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.Findings: 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.Research limitations/implications: Only publication recorded in the Web of Science database and with the term “data science” 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 “e-science”, “e-research”, “data service”, “data curation”, “research data management” or “scientific data management” or were not present in the Web of Science database.Originality/value: The paper provides the first exploration by content analysis of the field of data science from the perspective of the LIS.