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This article aims to summarize the employers' requirements of scientific data specialists and the status quo of LIS education organizations' training system for scientific data specialists. It also focuses on the matching analysis between the course content and the responsibilities as well as requirements of scientific data specialists. Moreover, in order to provide some indications for LIS education of scientific data specialists in China, it presents the training objectives and modes.

Some job portals for librarians and the comprehensive job portals are investigated as information sources and the keywords such as “scientific data management”, “data service”, “data curation”, “e-Science”, “e-Research”, “data specialist” are selected to retrieval library-released job advertisements for scientific data specialists to understand the library's requirements towards scientific data specialists' core capabilities. Meanwhile the course catalogues of all iSchools' web sites are searched directly in order to find if scientific data courses are provided.

Libraries value teamwork ability, communication ability, interpersonal ability and a good use of data curation tools as the core competences for scientific data specialists. Candidates who possess a second advanced degree, who understand libraries, who hold demonstrated knowledge of metadata standards, and who emphasize details, under the same condition, are more likely to be considered first. Libraries do not have a unified title for scientific data specialists yet. The current curriculums of iSchools mainly cover research method, data science, data management and data service, data statistic and analysis, data warehouse, information studies and technologies, and so on.

This unique study explores some required qualifications of science data specialist surveyed by job openings, including the core skills, position requirements, responsibilities of the job, and some qualifications. It also investigates the related curriculum setting of iSchool universities through course descriptions. This study is very useful for curriculum development in Chinese LIS education of scientific data specialists including required core courses and selected electives, and to promote the practice of data service in Chinese academic libraries.

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.

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.

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.

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.

The paper provides the first exploration by content analysis of the field of data science from the perspective of the LIS.

The role of data literacy is discussed in the light of such activities as data a quality, data management, data curation, and data citation. The differing terms and their relationship to the most important literacies are examined. The paper aims to discuss these issues.

By stressing the importance of data literacy in fulfilling the mission of the contemporary academic library, the paper centres on information literacy, while the characteristics of other relevant literacies are also examined. The content of data literacy education is explained in the context of data-related activities.

It can be concluded that there is a need for data literacy and it is advantageous to have a unified terminology. Data literacy can be offered both to researchers, who need to become data literate science workers and have the goal to educate data management professionals. Several lists of competencies contain important skills and abilities, many of them indicating the close relationship between data literacy and information literacy. It is vital to take a critical stance on hopes and fears, related to the promises of widespread ability of (big) data.

The paper intends to be an add-on to the body of knowledge about information literacy and other literacies in the light of research data and data literacy.

This paper aims to find the current situation of research data services by academic libraries and summarize some strategies for university libraries to reference. Recent years have seen an increasing number of university libraries extended their traditional roles and provided research data services.

This paper selected 87 libraries of the top 100 universities listed in the World’s Best Universities released by the USA News in October 2012 as samples and conducted a Web site investigation to check if there were any research data services provided. In addition, it made an interview with the Wuhan University Library’s Research Data Service Workgroup to understand the procedure, difficulties and experiences of their research data service. Based on the survey and interview, it analyzed the current status and difficulties of research data services in university libraries and proposed some strategies for others to reference.

Of the 87 university libraries investigated, 50 libraries have offered research data services. Most of the services can be divided into six aspects: research data introduction, data management guideline, data curation and storage service, data management training, data management reference and resource recommendation. Among these services, research data introduction is the most frequently provided (47.13 per cent), followed by data curation and storage services (43.68 per cent), data management guideline (42.53 per cent), data management reference (41.38 per cent), resource recommendation (41.38 per cent) and data management training (24.14 per cent). The difficulties met by research data service of Chinese academic libraries are also concluded.

Through Web site investigation and interview with the Wuhan University Library’s Research Data Service, this paper presented an overall picture of research data services in university libraries and identified the difficulties and experiences of research data services of the Wuhan University Library. Based on some successful examples, it put forward some strategies for university libraries to reference. This study is very useful for academic libraries to promote their research data services.

This chapter describes challenges that academic libraries face in the era of data-intensive research.

A review of current literature about the topic was performed. The main features of the data-intensive paradigm of research are outlined and new tasks to be performed by academic libraries are explored.

To fulfil their mission in this environment, academic libraries have to be equipped with tools that can be epitomised as research data services and include research data-management and digital data curation. Issues of data quality, data citation and data literacy are also of prime importance for related academic library services that also need to employ ‘new’ librarians, that is professionals, armed with novel and adequate skills.

The chapter outlines both background and practice, associated with data-related opportunities and responsibilities.

The purpose of this paper is to describe a new approach to education for library/information students in data literacy – the principles and practice of data collection, manipulation and management – as a part of the Masters programmes in library and information science (CityLIS) at City, University of London.

The course takes a socio-technical approach, integrating, and giving equal importance to, technical and social/ethical aspects. Topics covered include: the relation between data, information and documents; representation of digital data; network technologies; information architecture; metadata; data structuring; search engines, databases and specialised retrieval tools; text and data mining, web scraping; data cleaning, manipulation, analysis and visualisation; coding; data metrics and analytics; artificial intelligence; data management and data curation; data literacy and data ethics; and constructing data narratives.

The course, which was well received by students in its first iteration, gives a basic grounding in data literacy, to be extended by further study, professional practice and lifelong learning.

This is one of the first accounts of an introductory course to equip all new entrants to the library/information professions with the understanding and skills to take on roles in data librarianship and data management.

The purpose of this paper is to analyse the publication of big data in the library from Scopus database by looking at the writing time period of the papers, author's country, the most frequently occurring keywords, the article theme, the journal publisher and the group of keywords in the big data article. The methodology used in this study is a quantitative approach by extracting data from Scopus database publications with the keywords “big data” and “library” in May 2019. The collected data was analysed using Voxviewer software to show the keywords or terms. The results of the study stated that articles on big data have appeared since 2012 and are increasing in number every year. The big data authors are mostly from China and America. Keywords that often appear are based on the results of terminology visualization are including, “big data”, “libraries”, “library”, “data handling”, “data mining”, “university libraries”, “digital libraries”, “academic libraries”, “big data applications” and “data management”. It can be concluded that the number of publications related to big data in the library is still small; there are still many gaps that need to be researched on the topic. The results of the research can be used by libraries in using big data for the development of library innovation.

The Scopus database was accessed on 24 May 2019 by using the keyword “big data” and “library” in the search box. The authors only include papers, which title contain of big data in library. There were 74 papers, however, 1 article was dropped because of it not meeting the criteria (affiliation and abstract were not available). The papers consist of journal articles, conference papers, book chapters, editorial and review. Then the data were extracted into excel and analysed as follows (by the year, by the author/s’s country, by the theme and by the publisher). Following that the collected data were analysed using VOX viewer software to see the relationship between big data terminology and library, terminology clustering, keywords that often appear, countries that publish big data, number of big data authors, year of publication and name of journals that publish big data and library articles (Alagu and Thanuskodi, 2019).

It can be concluded that the implementation of big data in libraries is still in an early stage, it is shown from the limited number of practical implementation of big data analytics in library. Not many libraries that use big data to support innovation and services since there were lack of librarian skills of big data analytics. The library manager’s view of big data is still not necessary to do. It is suggested for academic libraries to start their adoption of big data analytics to support library services especially research data. To do so, librarians can enhance their skills and knowledge by following some training in big data analytics or research data management. The information technology infrastructure also needs to be upgraded since big data need big IT capacity. Finally, the big data management policy should be made to ensure the implementation goes well.

This paper discovers the adoption and implementation of big data in library, many papers talk big data in business and technology context. This is offering new idea for many libraries especially academic library about the adoption of big data to support their services. They can adopt the big data analytics technology and technique that suitable for their library.

The purpose of this paper is to identify tasks and roles that academic libraries have to fulfil to react to the developments brought in by the appearance of Research 2.0.

A review of current literature about the topic was performed.

Literature used reveals that currently, there is a need for providing information literacy (IL) education (mainly in the form of data literacy), providing research data services (RDSs) (addressing data quality and data citation), raising awareness of faculty members on different issues and providing individual support to them.

The paper intends to be an add-on to the body of knowledge about academic library support to researchers.

This study aims to examine Big Data and the management of libraries in the era of the Fourth Industrial Revolution and its implications for policymakers in Nigeria.

A qualitative methodology was used, involving the administration of open-ended questionnaires to librarians from six selected federal universities located in Southwest Nigeria.

The findings of this research highlight that a significant proportion of librarians are well-acquainted with the relevance of big data and its potential to positively revolutionize library services. Librarians generally express favorable opinions concerning the relevance of big data, acknowledging its capacity to enhance decision-making, optimize services and deliver personalized user experiences.

This study exclusively focuses on the Nigerian context, overlooking insights from other African countries. As a result, it may not be possible to generalize the study’s findings to the broader African library community.

To the best of the authors’ knowledge, this study is unique because the paper reported that librarians generally express favorable opinions concerning the relevance of big data, acknowledging its capacity to enhance decision-making, optimize services and deliver personalized user experiences.

Library Hi Tech is one of the most influential journals that publish leading research in library and information science (LIS). The present study aims to understand the scholarly communication in Library Hi Tech by profiling its historic footprint, emerging trends and knowledge diffusion.

A total of 3,131 bibliographic records between 1995 and 2018 were collected from the Web of Science. Text mining, graph analysis and data visualization were used to analyze subject category assignment, domain-level citation trends, co-occurrence of keywords, keyword bursts, networks of document co-citation and landmark articles.

Findings indicated that published research in the journal was largely influenced by the psychology, education and social domain as a unidisciplinary discipline. Knowledge of the journal has been disseminated into multiple domains such as LIS, computer science and education. Dominant thematic concentrations were also identified: (1) library services in academic libraries and related to digital libraries, (2) adoption of new information technologies and (3) information-seeking behavior in these contexts. Additionally, the journal has exhibited an increased research emphasis on mixed-method user-centered studies and investigations into libraries' use of new media.

This study provides a promising approach to understand scientific trends and the intellectual growth of journals. It also helps Library Hi Tech to become more self-explanatory with a detailed bibliometric profile and to identify future directions in editorship and readership. Finally, researchers in the community can better position their studies within the emerging trends and current challenges of the journal.