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Study on Ethics and Integrity in the Use of Big Data in Analysis and Research

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  • Anca Ioana Iacob (Troto)

    (University of Craiova)

Abstract

In a society where information is the basis of business decision-makers and its quality directly influences economic actions and activity, databases are a subject as common as it is difficult to analyze, regulate and subject to ethical norms. The present study carries out an analysis of the needs imposed by the technological evolution of recent years, in the light of the fundamental rules governing the ethics and professional integrity of the research activity. Thus, the paper seeks a common denominator between the basic principles of morality that defines the database analyst and the ethical dilemmas that arise in the stages of data processing. Through an objective analysis of the theoretical aspects, but also of the practical reality, the research seeks solutions in shaping the principles of ethics and integrity, in order to update them to the current socio-economic and academic environment.

Suggested Citation

  • Anca Ioana Iacob (Troto), 2021. "Study on Ethics and Integrity in the Use of Big Data in Analysis and Research," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 772-781, August.
    • Handle: RePEc:ovi:oviste:v:xxi:y:2021:i:1:p:772-781
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    References listed on IDEAS

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    1. Seddon, Jonathan J.J.M. & Currie, Wendy L., 2017. "A model for unpacking big data analytics in high-frequency trading," Journal of Business Research, Elsevier, vol. 70(C), pages 300-307.
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    More about this item

    Keywords

    big data; research ethics; integrity; database analyse;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General

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