Titlebook: Ethical Reasoning in Big Data; An Exploratory Analy Jeff Collmann,Sorin Adam Matei Book 2016 Springer International Publishing Switzerland

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Institutionalizing Ethical Reasoning: Integrating the ASA’s Ethical Guidelines for Professional Pracarge amounts of data obtained from a variety of sources. In 2014, the Committee on Professional Ethics of the American Statistical Association (ASA) initiated a revision of their Ethical Guidelines for Professional Practice, which was completed in 2015. Although interest in these new Guidelines is k

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Integrating Ethical Reasoning into Preparation for Participation to Work in/with Big Data Through thed States, the Carnegie Initiative on the Doctorate (CID). To frame that initiative, the project leaders defined a “steward of the discipline” as “someone who will creatively generate new knowledge, critically conserve valuable and useful ideas, and responsibly transform those understandings through

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https://doi.org/10.1007/978-3-319-28422-4Big data abuse; Big data education; Big data ethics; Commercialization of big data; Ethics and genomic r

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978-3-319-80351-7Springer International Publishing Switzerland 2016

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Ethical Reasoning in Big Data978-3-319-28422-4Series ISSN 2509-9574 Series E-ISSN 2509-9582

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,DIE ANWENDUNG DES EINKAUFSSCHACHBRETTS?,enges for researchers with respect to the ethical use and securing of private information. Such concerns are heightened by the fact that big data is likely to be reused, reanalyzed, recombined, and repurposed without explicit consent from the original data providers. The present chapter offers a met

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Einrichten der einzelnen Maschinen, Thus, scientists must learn to take public concerns about Big Data research seriously and how to communicate messages designed to build trust in specific big data projects and the institution of science in general. This chapter explores the implications of various examples of engaging the public in