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DC Field | Value | Language |
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dc.contributor.author | Kosciejew, Marc | - |
dc.date.accessioned | 2024-03-15T08:52:18Z | - |
dc.date.available | 2024-03-15T08:52:18Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | Kosciejew, M. (2014). Shifting information analysis: big data’s implications for the information sciences and professions [Review of the book Big Data: A Revolution That Will Transform How We Live, Work, and Think, by V. Mayer-Schönberger & K. Cukier]. Information Management, 48(1), 45-46. | en_GB |
dc.identifier.uri | https://magazine.arma.org/wp-content/uploads/simple-file-list/2014_01_IM_in_review_shifting_info_analysis.pdf | - |
dc.identifier.uri | https://www.um.edu.mt/library/oar/handle/123456789/119912 | - |
dc.description.abstract | In Big Data: A Revolution That Will Transform How We Live, Work, and Think, Viktor Mayer-Schönberger and Kenneth Cukier present the emerging trend of big data and its various political, economic, social, and professional implications. This book is intended for a diverse academic and professional audience in various disciplines. It should be of particular interest to scholars and practitioners in the information sciences and professions because of its focus on the information concepts and practices inherent in, and influenced by, big data. [excerpt] | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | ARMA International | en_GB |
dc.rights | info:eu-repo/semantics/openAccess | en_GB |
dc.subject | Books -- Reviews | en_GB |
dc.subject | Big data -- Social aspects | en_GB |
dc.subject | Electronic information resources -- Social aspects | en_GB |
dc.subject | Data mining -- Social aspects | en_GB |
dc.subject | Information science -- Study and teaching | en_GB |
dc.title | Shifting information analysis : big data’s implications for the information sciences and professions [Book review] | en_GB |
dc.type | review | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
dc.publication.title | Information Management | en_GB |
Appears in Collections: | Scholarly Works - FacMKSLIAS |
Files in This Item:
File | Description | Size | Format | |
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Shifting information analysis big data s implications for the information sciences and professions Book review 2014.pdf | 250.25 kB | Adobe PDF | View/Open |
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