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Big Data Ethics

Authors: Ryan, Mark; Fernandez inguanzo, Ana;

Big Data Ethics

Abstract

Big Data ethics informs about how data can be used ethically and gives principles and values to decide how to use it. The values and norms proposed within this area of research aim to influence laws and guide the use of data. The field of Big Data ethics is expanding with new digital technologies and applications, such as the creation of smart cities, robots, or biometric technology, where data fuels their development and innovation. Thus, this field relates to other ethics’ fields – bioethics, ethics of AI, business ethics, Internet ethics, or the ethics of robots. This book chapter has been evaluated through an extensive literature in Big Data ethics (Richards and King 2014) (Boyd and Crawford 2012) (Diaz and Gürses 2012) (Chen and Quan-Haase 2020) (SHERPA 2019) to present a list of the most significant issues in this field.

Country
Netherlands
Keywords

Life Science

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green