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

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发表于 2025-3-21 18:36:07 | 显示全部楼层 |阅读模式
书目名称Ethical Reasoning in Big Data
副标题An Exploratory Analy
编辑Jeff Collmann,Sorin Adam Matei
视频video
概述Defines and explains the main types of ethical dilemmas in handling big data.Proposes a set of principles for developing sound ethical handling of big data.Discusses methods for individual and organiz
丛书名称Computational Social Sciences
图书封面Titlebook: Ethical Reasoning in Big Data; An Exploratory Analy Jeff Collmann,Sorin Adam Matei Book 2016 Springer International Publishing Switzerland
描述This book springs from a multidisciplinary, multi-organizational, and multi-sector conversation about the privacy and ethical implications of research in human affairs using big data. The need to cultivate and enlist the public’s trust in the abilities of particular scientists and scientific institutions constitutes one of this book’s major themes. The advent of the Internet, the mass digitization of research information, and social media brought about, among many other things, the ability to harvest – sometimes implicitly – a wealth of human genomic, biological, behavioral, economic, political, and social data for the purposes of scientific research as well as commerce, government affairs, and social interaction. What type of ethical dilemmas did such changes generate? How should scientists collect, manipulate, and disseminate this information? The effects of this revolution and its ethical implications are wide-ranging. This book includes the opinions of myriad investigators, practitioners, and stakeholders in big data on human beings who also routinely reflect on the privacy and ethical issues of this phenomenon. Dedicated to the practice of ethical reasoning and reflection in a
出版日期Book 2016
关键词Big data abuse; Big data education; Big data ethics; Commercialization of big data; Ethics and genomic r
版次1
doihttps://doi.org/10.1007/978-3-319-28422-4
isbn_softcover978-3-319-80351-7
isbn_ebook978-3-319-28422-4Series ISSN 2509-9574 Series E-ISSN 2509-9582
issn_series 2509-9574
copyrightSpringer International Publishing Switzerland 2016
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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 Liquoreiweißbild,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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