Long-term preservation of big data: prospects of current storage technologies in digital libraries

Bhat, Wasim Ahmad

doi:10.1108/lht-06-2017-0117

Cited by 30 publications

(14 citation statements)

References 43 publications

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“…It becomes more difficult for libraries to provide enough space for storing all necessary information (Bhat, 2018; Hey et al , 2009; Horstmann and Brase, 2016; Simović, 2018). Even though collections of libraries move online at the digital age, libraries still need innovative ways to provide users a comfortable and user-focused space by using their physical space wisely (Norton et al , 2013).…”

Section: Information Integration and Librariesmentioning

confidence: 99%

Information integration in libraries

Chen

2020

LHT

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PurposeThis paper investigates the latest achievements of studies on industrial information integration engineering (IIIE).Design/methodology/approachThis paper extends the research by Chen (2016) by reviewing studies from 2016 to 2019 in IEEE Xplore and Web of Science. Altogether, 970 papers related to IIIE are grouped into 27 research categories and reviewed.FindingsThe results obtained in this study indicate that the number of research studies on IIIE rose drastically in the past three years compared with the findings in Chen (2016). Particularly, energy, engineering, industrial control, information and communications technologies, instrumentation, manufacturing and transportation are the hot topics. This change proves that the Internet of things (IoT) and IIIE have integrated closely by providing more applications, such as industrial Internet of things (IIoT), cyber-physical system (CPS), smart grids and smart manufacturing. This change also proves the research direction of IIIE identified by Chen (2016).Originality/valueThe results present up-to-date development of IIIE and provide directions for future research on IIIE. The review identifies that energy, engineering, industrial control, information and communications technologies, instrumentation, manufacturing and transportation are the main fields that most of the reviewed papers focus on. Applications that integrate IoT and IIIE, including IIoT, CPS, smart grids and smart manufacturing, are attracting scholars' and practitioners' attention. Some new technologies, such as 5G and blockchain, have the potential to be integrated with IoT and IIIE.

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Section: Information Integration and Librariesmentioning

confidence: 99%

Information integration in libraries

Chen

2020

LHT

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“…With this, the production and representation of artefacts are designed for specific platforms through user approval and adjustments [23]. A study [24] has described the viable abiding results that digital libraries needed to migrate into new storage technologies, such as optical, DNA and holographic storage. These new storage technologies are probably to meet all storage requirements and reduce the economic costs of libraries.…”

Section: Literature Reviewmentioning

confidence: 99%

Performance-based evaluation of academic libraries in the big data era

Islam

Ahmad

Rafi

et al. 2020

Journal of Information Science

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The concept of big data has been extensively considered as a technological modernisation in organisations and educational institutes. Thus, the purpose of this study is to determine whether the modified technology acceptance model (MTAM) is viable for evaluating the performance of librarians in the use of big data analytics in academic libraries. This study used an empirical research method for collecting data from 211 librarians working in Pakistan’s universities. On the basis of the findings of the MTAM analysis by structural equation modelling, the performances of the academic libraries were comprehended through the process of big data. The main influential components of the performance analysis in this study were the big data analytics capabilities, perceived ease of access and the usefulness of big data practices in academic libraries. Subsequently, the utilisation of big data was significantly affected by skills, perceived ease of access and the usefulness of academic libraries. The results also suggested that the various components of the academic libraries lead to effective organisational performance when linked to big data analytics.

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“…Now, when libraries are faced with the Tony Hays fourth paradigm of data-intensive science and overwhelming data sets from many different sources, it becomes more and more difficult for a library to provide enough space to store all the necessary information that is important for users, and submitted for its long-term keeping. (Hey et al , 2009; Horstmann and Brase, 2016; Bhat, 2018). Furthermore, in the traditional RDBMS of the library, the recommendation is made by the librarians based on their experience, user’s physical cards, and the relational database server logs.…”

Section: Literature Reviewmentioning

confidence: 99%

A Big Data smart library recommender system for an educational institution

Simović

2018

LHT

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Purpose With the exponential growth of the amount of data, the most sophisticated systems of traditional libraries are not able to fulfill the demands of modern business and user needs. The purpose of this paper is to present the possibility of creating a Big Data smart library as an integral and enhanced part of the educational system that will improve user service and increase motivation in the continuous learning process through content-aware recommendations. Design/methodology/approach This paper presents an approach to the design of a Big Data system for collecting, analyzing, processing and visualizing data from different sources to a smart library specifically suitable for application in educational institutions. Findings As an integrated recommender system of the educational institution, the practical application of Big Data smart library meets the user needs and assists in finding personalized content from several sources, resulting in economic benefits for the institution and user long-term satisfaction. Social implications The need for continuous education alters business processes in libraries with requirements to adopt new technologies, business demands, and interactions with users. To be able to engage in a new era of business in the Big Data environment, librarians need to modernize their infrastructure for data collection, data analysis, and data visualization. Originality/value A unique value of this paper is its perspective of the implementation of a Big Data solution for smart libraries as a part of a continuous learning process, with the aim to improve the results of library operations by integrating traditional systems with Big Data technology. The paper presents a Big Data smart library system that has the potential to create new values and data-driven decisions by incorporating multiple sources of differential data.

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Long-term preservation of big data: prospects of current storage technologies in digital libraries

Cited by 30 publications

References 43 publications

Information integration in libraries

Information integration in libraries

Performance-based evaluation of academic libraries in the big data era

A Big Data smart library recommender system for an educational institution

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