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Data as Representation
Carusi, A.
Carusi, A.
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ijire_1.1_carusi.pdf
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As e-research practices begin to be adopted in medical and social science research, a number of ethical challenges are being encountered, and doubtless there are several hidden ethical implications which will emerge as e-science matures. Concerns so far have centred on anonymity, confidentiality and privacy. This article proposes a representational framework for thinking about data in e-research which takes it beyond this concern. It proposes five representational models which can be used to probe the ethical issues around data derived from human subjects, and as an ingredient in ethical decision-making in this domain.
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2008-01
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With permission of the license/copyright holder