Big Data and Libraries: Identifying Themes in the Literature

Blummer, Barbara; Kenton, Jeffrey M.

doi:10.1080/10875301.2018.1524337

Cited by 13 publications

(5 citation statements)

References 66 publications

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“…In relation to LIS professionals, the availability of big data fosters the need for new skills among librarians and even the one in training (Blummer and Kenton, 2018). Noh (2015) and Massis (2016) identified librarians' competence in capturing and analysing data to improve information services.…”

Section: Introductionmentioning

confidence: 99%

Repackaging LIS professionals and libraries for the fourth industrial revolution

Tella

2020

LHTN

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Purpose The purpose of this paper is to discuss the need for African Library Schools to repackage their curriculum to be able to produce graduates that will match up with jobs demand in the fourth industrial revolution (4IR) era. The discussion argued for the review of African Library Schools, identified the technologies that drive the 4IRs which LIS graduates will be working with, if employed, and relevant skills needed for functionality in the era. Design/methodology/approach This viewpoint adopts discussion method with reference to some review of literature to argue the pints. Findings This viewpoint finds out that to be relevant in the 4IR, LIS graduate will have to possess the required skills relevant to function in the 4IR. The skills identified among other are information curation, in-depth research, digital scanning, preservation, cloud data expansion, collaboration, teaching and facilitation, analytical thinking and innovation, active learning and learning strategies. Originality/value This paper is an original idea from the author and has been published or submitted to any platform. This paper is original because it has been able to emphasise that African LIS schools should work closely with the employer to make sure their courses and curriculum are designed in such a way to teach employability skills. Moreover, this paper is important, as it made it clear that there is need to ensure removal of barriers to implementing better assessment and training and providing much-needed funding and resources to support the efforts. LIS graduates or those in training should also work to develop in-demand skills and learn to use tools that reveal their capabilities to their potential employers.

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Section: Introductionmentioning

confidence: 99%

Repackaging LIS professionals and libraries for the fourth industrial revolution

Tella

2020

LHTN

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“…Librarians’ role in implementing big data in public libraries can be either service-oriented (educator, marketer, advocator, adviser, developer and organization server) or system-oriented (data organizer – cleansing and maintaining big data sets and data container – storing big data) (Zhan and Widén, 2018). The cataloging, archiving, analysis and reference skills of librarians remain particularly well-suited for providing big data services (Blummer and Kenton, 2018). As discussed by Zhan and Widén (2019), to cater to the 5Vs associated with big data, LIS professionals need skills to fetch value out of big data in the form of crucial knowledge and information.…”

Section: Literature Reviewmentioning

confidence: 99%

Developing a big data analytics platform using Apache Hadoop Ecosystem for delivering big data services in libraries

Singh

2024

DLP

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Purpose Although the challenges associated with big data are increasing, the question of the most suitable big data analytics (BDA) platform in libraries is always significant. The purpose of this study is to propose a solution to this problem. Design/methodology/approach The current study identifies relevant literature and provides a review of big data adoption in libraries. It also presents a step-by-step guide for the development of a BDA platform using the Apache Hadoop Ecosystem. To test the system, an analysis of library big data using Apache Pig, which is a tool from the Apache Hadoop Ecosystem, was performed. It establishes the effectiveness of Apache Hadoop Ecosystem as a powerful BDA solution in libraries. Findings It can be inferred from the literature that libraries and librarians have not taken the possibility of big data services in libraries very seriously. Also, the literature suggests that there is no significant effort made to establish any BDA architecture in libraries. This study establishes the Apache Hadoop Ecosystem as a possible solution for delivering BDA services in libraries. Research limitations/implications The present work suggests adapting the idea of providing various big data services in a library by developing a BDA platform, for instance, providing assistance to the researchers in understanding the big data, cleaning and curation of big data by skilled and experienced data managers and providing the infrastructural support to store, process, manage, analyze and visualize the big data. Practical implications The study concludes that Apache Hadoops’ Hadoop Distributed File System and MapReduce components significantly reduce the complexities of big data storage and processing, respectively, and Apache Pig, using Pig Latin scripting language, is very efficient in processing big data and responding to queries with a quick response time. Originality/value According to the study, there are significantly fewer efforts made to analyze big data from libraries. Furthermore, it has been discovered that acceptance of the Apache Hadoop Ecosystem as a solution to big data problems in libraries are not widely discussed in the literature, although Apache Hadoop is regarded as one of the best frameworks for big data handling.

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“…Ahmad (2018) claims that Malaysian libraries rarely use the BDA for performance monitoring. Blummer & Kenton (2018) found that many libraries lack a clear vision and knowledge of Big Data Analytics (BDA) and its technical application. Several factors affect Malaysia Libraries' BDA use.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Digital devices, more digital source kinds, and evolving data collection, recording, and analysis technology are also part of it (Heidron, 2011). Blummer & Kenton (2018) claimed that BD modifications and full use influence libraries' survival since they must find new services to be competitive. Additionally, library administration used data to assess user patterns and demand.…”

Section: Introductionmentioning

confidence: 99%

Technology, Organization and Environment as Strategic Factors of Big Data Analytics Readiness and Acquisition Intention to Adopt Big Data Analytics in Malaysian Libraries

Salman,

Ahdullah Sani,

Sahid

2024

E-BPJ

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Libraries can learn BD analytics. The report examines Malaysian library big data analytics for new research. Complete subject debate recordings enhance comprehension. Adopt TOE-BDA. Multiple research gaps led this study. Malaysian libraries use new BDA. Not predictive, most data analysis is descriptive. Libraries and information science rarely use big data analytics (BDA). Initial measurement analysis revealed framework concerns. TOE, BDAR, and big data analytics acquisition propensity were linked in structural model analysis. This study made three empirical, theoretical, and practical contributions. The study empirically tests Malaysian libraries' relationship. Future researchers may explore TOE, BDA, and AITABDA using the paradigm. Measure TOE/BDAR.

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Big Data and Libraries: Identifying Themes in the Literature

Cited by 13 publications

References 66 publications

Repackaging LIS professionals and libraries for the fourth industrial revolution

Repackaging LIS professionals and libraries for the fourth industrial revolution

Developing a big data analytics platform using Apache Hadoop Ecosystem for delivering big data services in libraries

Technology, Organization and Environment as Strategic Factors of Big Data Analytics Readiness and Acquisition Intention to Adopt Big Data Analytics in Malaysian Libraries

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