Problems and Changes in Digital Libraries in the Age of Big Data From the Perspective of User Services

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.

/pdf/big-data-opportunities-and-challenges-in-libraries-a-5911i2mlw1.pdf

Big Data: Opportunities and Challenges in Libraries, a Systematic Literature Review.

Research data management services require new skills and collaboration among library staff to work with both researchers and end-users as they manage data going forward. However, there is an urgent...

Awareness of Research Data Management Services at Academic Libraries in Jordan: Roles, Responsibilities and Challenges

Libraries hold large amounts of data, which can contribute to improvements in the quality of library services. Data resources of modern library have the characteristics of big-data, where library c...

Big Data Opportunities and Challenges for Analytics Strategies in Jordanian Academic Libraries

PurposeThis study investigates the level of artificial intelligence (AI) awareness among library leaders, practitioners and scientists of Indonesian academic libraries to elucidate the benefits of AI implementation and its necessary infrastructure and challenges.Design/methodology/approachThe study adopted a purposive sampling technique to select the 38 participants and thematic analysis to analyze the data, identifying eight themes: understanding of AI, AI adoption, benefits of AI, competencies needed to support AI, facilities to support AI, factors supporting AI adoption, AI-inhibiting factors and expectations of AI.FindingsDifferent viewpoints provided full awareness among library stakeholders and sufficient information to begin AI initiatives in Indonesian libraries as leaders, practitioners and scientists had a favorable, open and encouraging outlook on AI.Research limitations/implicationsThe study does not investigate variations in perspectives between the participants, but it examines their understanding of AI and elaborates the results into the concept of an intelligent library. Moreover, this study only uses samples from academic libraries.Practical implicationsLibraries can take these results into consideration before implementing AI, especially in technology and facilities, librarian competency with regard to AI and leadership roles in AI projects.Social implicationsLibrary boards and library associations can use this research as a source to create guidelines about AI implementation in academic libraries.Originality/valueThe study addresses the gap in the research on university libraries' readiness and awareness to implement AI, especially in developing countries.

https://repository.unair.ac.id/120004/1/Leaders%2C%20practitioners%20and%20scientists%27%20awareness%20of%20artificial%20intelligence%20in%20libraries_%20a%20pilot%20study.pdf

Leaders, practitioners and scientists' awareness of artificial intelligence in libraries: a pilot study

Emerging technologies have offered libraries and librarians new ways and methods to collect and analyze data in the era of accountability to justify their value and contributions. For example, Gallagher, Bauer and Dollar (2005) analyzed the paper and online journal usage from all possible data sources and discovered that users at the Yale Medical Library preferred the electronic format of articles to the print version. After this discovery, they were able to take necessary steps to adjust their journal subscriptions. Many library professionals advocate such data-driven library management to strengthen and specify library budget proposals.

Library Assessment and Data Analytics in the Big Data Era: Practice and Policies

/pdf/library-assessment-and-data-analytics-in-the-big-data-era-1riq75jxrc.pdf

Carol Mollman

Papers

Library Assessment and Data Analytics in the Big Data Era: Practice and Policies

Library assessment and data analytics in the big data era: practice and policies