LEADER 05544nam 22006855 450 001 9910254993503321 005 20220406233226.0 010 $a3-319-28422-3 024 7 $a10.1007/978-3-319-28422-4 035 $a(CKB)3710000000649153 035 $a(EBL)4512603 035 $a(SSID)ssj0001665740 035 $a(PQKBManifestationID)16455259 035 $a(PQKBTitleCode)TC0001665740 035 $a(PQKBWorkID)15000343 035 $a(PQKB)10560054 035 $a(DE-He213)978-3-319-28422-4 035 $a(MiAaPQ)EBC4512603 035 $a(PPN)193445557 035 $a(EXLCZ)993710000000649153 100 $a20160422d2016 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aEthical reasoning in big data $ean exploratory analysis /$fedited by Jeff Collmann, Sorin Adam Matei 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (194 p.) 225 1 $aComputational Social Sciences,$x2509-9574 300 $aDescription based upon print version of record. 311 $a3-319-28420-7 320 $aIncludes bibliographical references at the end of each chapters. 327 $aPart I. Applying a contextual analysis of privacy in Big Data research._A theoretical framework for ethical reflection in big data research -- Part II. Ethical reasoning beyond privacy in Big Data -- The Privacy Preferences of Americans -- Beyond TIA: government surveillance in the post-Snowden era -- Engaging the public in ethical reasoning about Big Data -- The Ethics of Large-Scale Genomic Research -- Neurotechnological Convergence and 'Big Data:A Force-Multiplier toward Advancing Neuroscience -- Assuring personal privacy on the Internet -- Part III. Institutionalizing ethical reasoning about Big Data -- Technology for Privacy Assurance -- Institutionalizing ethical reasoning: Integrating the ASA?s Ethical Guidelines for Professional Practice into course, program, and curriculum -- Data Management Plans, Institutional Review Boards, and the Ethical Management of Big Data about Human Subjects -- Integrating ethical reasoning into preparation for participation to work in and with Big Data through the Stewardship model. . 330 $aThis book springs from a multidisciplinary, multi-organizational, and multi-sector conversation about the privacy and ethical implications of research in human affairs using big data. The need to cultivate and enlist the public?s trust in the abilities of particular scientists and scientific institutions constitutes one of this book?s major themes. The advent of the Internet, the mass digitization of research information, and social media brought about, among many other things, the ability to harvest ? sometimes implicitly ? a wealth of human genomic, biological, behavioral, economic, political, and social data for the purposes of scientific research as well as commerce, government affairs, and social interaction. What type of ethical dilemmas did such changes generate? How should scientists collect, manipulate, and disseminate this information? The effects of this revolution and its ethical implications are wide-ranging. This book includes the opinions of myriad investigators, practitioners, and stakeholders in big data on human beings who also routinely reflect on the privacy and ethical issues of this phenomenon. Dedicated to the practice of ethical reasoning and reflection in action, the book offers a range of observations, lessons learned, reasoning tools, and suggestions for institutional practice to promote responsible big data research on human affairs. It caters to a broad audience of educators, researchers, and practitioners. Educators can use the volume in courses related to big data handling and processing. Researchers can use it for designing new methods of collecting, processing, and disseminating big data, whether in raw form or as analysis results. Lastly, practitioners can use it to steer future tools or procedures for handling big data. As this topic represents an area of great interest that still remains largely undeveloped, this book is sure to attract significant interest by filling an obvious gap in currently available literature. . 410 0$aComputational Social Sciences,$x2509-9574 606 $aData mining 606 $aEthics 606 $aPhysics 606 $aSystem theory 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aEthics$3https://scigraph.springernature.com/ontologies/product-market-codes/E14000 606 $aApplications of Graph Theory and Complex Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/P33010 606 $aComplex Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/M13090 615 0$aData mining. 615 0$aEthics. 615 0$aPhysics. 615 0$aSystem theory. 615 14$aData Mining and Knowledge Discovery. 615 24$aEthics. 615 24$aApplications of Graph Theory and Complex Networks. 615 24$aComplex Systems. 676 $a004 702 $aCollmann$b Jeff$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMatei$b Sorin Adam$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910254993503321 996 $aEthical Reasoning in Big Data$92026706 997 $aUNINA