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

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,Schnittgeschwindigkeiten und Vorschübe,e raised questions about the privacy implications of LSGRs, given that all genomic data is theoretically re-identifiable. Privacy can be further threatened by the possibility of aggregation of data sets, which can give rise to unexpected, and potentially sensitive, information. Beyond privacy concer

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,Einzelerzeugnisse der Hüttenwerke,e new material. Similarly, teaching and learning about ethics, or professional practice, is qualitatively different— particularly in terms of assessment—than it is around statistics and biostatistics/data analysis. A second barrier is .: it can sometimes seem that “ethics training” is only required

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,Das pathologische Liquoreiwei?bild,tion. The decision tree also encourages investigators to reflect on the range of ethical implications of their research, including potential benefits and harms as well as implications for individual and group autonomy, social justice and trust in the institution of science. We offer the DMP decision

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https://doi.org/10.1007/978-3-662-36649-3: (1) disciplines and fields are dynamic, and . stewardship; (2) the quality and integrity of disciplines must be actively preserved and conserved; and (3) there are particular habits of mind that characterize “those to whom we can entrust” the core features of a discipline or field. In order to for

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