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Philosophising Data: A Critical Reflection On The ‘Hidden' Issues

Philosophising Data: A Critical Reflection On The ‘Hidden' Issues

Jackie Campbell, Victor Chang, Amin Hosseinian-Far
Copyright: © 2016 |Pages: 12
ISBN13: 9781466698406|ISBN10: 1466698403|EISBN13: 9781466698413
DOI: 10.4018/978-1-4666-9840-6.ch016
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MLA

Campbell, Jackie, et al. "Philosophising Data: A Critical Reflection On The ‘Hidden' Issues." Big Data: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2016, pp. 302-313. https://doi.org/10.4018/978-1-4666-9840-6.ch016

APA

Campbell, J., Chang, V., & Hosseinian-Far, A. (2016). Philosophising Data: A Critical Reflection On The ‘Hidden' Issues. In I. Management Association (Ed.), Big Data: Concepts, Methodologies, Tools, and Applications (pp. 302-313). IGI Global. https://doi.org/10.4018/978-1-4666-9840-6.ch016

Chicago

Campbell, Jackie, Victor Chang, and Amin Hosseinian-Far. "Philosophising Data: A Critical Reflection On The ‘Hidden' Issues." In Big Data: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 302-313. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-4666-9840-6.ch016

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Abstract

This chapter aims to critically reflect on the processes, agendas and use of Big Data by presenting existing issues and problems in place and consolidating our points of views presented from different angles. This chapter also describes current practices of handling Big Data, including considerations of smaller scale data analysis and the use of data visualisation to improve business decisions and prediction of market trends. The chapter concludes that alongside any data collection, analysis and visualisation, the ‘researcher' should be fully aware of the limitations of the data, by considering the data from different perspectives, angles and lenses. Not only will this add the validation and validity of the data, but it will also provide a ‘thinking tool' by which to explore the data. Arguably providing the ‘human skill' required in a process apparently destined to be automated by machines and algorithms.

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