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      Handbook of Research on Information and Records Management in the Fourth Industrial Revolution : 

      Key Challenges to Data Management in the Fourth Industrial Revolution

      edited-book
      , ,
      IGI Global

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          Abstract

          This chapter explores the numerous challenges impacting data management in the fourth industrial revolution. It highlights the importance of data management in the era of technological and industrial development in the 21st century business world. It draws attention to the value of countries enacting policies and reforms to curtail the rate of cyber-crimes and hacking into sensitive information of organisations whose operations occur significantly in the cyber realms. Much focus is given to the literature on legal policies enacted in many Western nations to prevent and minimize the consequences of data breaches. It draws attention to the benefits of effective data management in organisations and the key reasons considerable focus should be given to it from national governments across the globe.

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          Digitization and the Future of Natural History Collections

          Natural history collections (NHCs) are the foundation of historical baselines for assessing anthropogenic impacts on biodiversity. Along these lines, the online mobilization of specimens via digitization—the conversion of specimen data into accessible digital content—has greatly expanded the use of NHC collections across a diversity of disciplines. We broaden the current vision of digitization (Digitization 1.0)—whereby specimens are digitized within NHCs—to include new approaches that rely on digitized products rather than the physical specimen (Digitization 2.0). Digitization 2.0 builds on the data, workflows, and infrastructure produced by Digitization 1.0 to create digital-only workflows that facilitate digitization, curation, and data links, thus returning value to physical specimens by creating new layers of annotation, empowering a global community, and developing automated approaches to advance biodiversity discovery and conservation. These efforts will transform large-scale biodiversity assessments to address fundamental questions including those pertaining to critical issues of global change.
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            Is Open Access

            Big Data technologies: A survey

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              Modelling digital library success using the DeLone and McLean information system success model

              This is an exploratory study to model the determinants of actual use of a digital library system. To do so, a research model was developed using Delone and McLean’s information system success model and explained as an empirical study. Data were collected from 978 respondents using a structured questionnaire from four different universities of Malaysia. The findings showed that the quality factors of digital library systems have a strong influence on satisfaction, behavioral intention, and variance in actual use. Information quality is the strongest predictor to measure user satisfaction, and satisfaction has a strong effect on students’ behavioral intention to use the system. In addition, user satisfaction and behavioral intention to use the system also have a strong positive relationship with the actual use of a digital library system. In brief, behavioral intentions are greatly influenced by system quality, information quality and service quality.
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                Author and book information

                Book Chapter
                2021
                : 67-80
                10.4018/978-1-7998-7740-0.ch005
                cba005d7-39f1-4b34-b0ee-b3b20e371801
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