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001 978-3-319-07121-3
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020 _a9783319071213
_9978-3-319-07121-3
024 7 _a10.1007/978-3-319-07121-3
_2doi
050 4 _aB53
072 7 _aHP
_2bicssc
072 7 _aPHI021000
_2bisacsh
072 7 _aTEC000000
_2bisacsh
082 0 4 _a601
_223
245 1 4 _aThe Philosophy of Information Quality
_h[electronic resource] /
_cedited by Luciano Floridi, Phyllis Illari.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aVIII, 315 p. 61 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthese Library, Studies in Epistemology, Logic, Methodology, and Philosophy of Science ;
_v358
505 0 _aPreface -- Luciano Floridi and Phyllis Illari -- Information quality, data and philosophy; Phyllis Illari and Luciano Floridi -- Forget Dimensions. Define Your Information Quality Using Quality View Patterns; Suzanne M. Embury and Paolo Missier -- Exploring information quality in the wild; Carlo Batini, Matteo Palmonari, Gianluigi Viscusi -- What is visualization really for?; Min Chen, Luciano Floridi, Rita Borgo -- Object Matching: New Challenges for Record Linkage; Monica Scannapieco -- Algorithmic check of standards for information quality dimensions; Giuseppe Primiero -- What is disinformation?; Don Fallis -- Quality Assessment Tools in medicine; Jacob Stegenga -- Educating Medical Students to Evaluate the Quality of Health Information on the Web; Pietro Ghezzi, Sundeep Chumbers, Tara Brabazon -- Enhancing the quality of open data; Kieron O'Hara -- Forensic Information Quality; Burkhard Schafer -- Information quality and personal archives in the wild; Jeremy Leighton John -- IQ: purpose and dimensions; Phyllis Illari -- Big data and information quality; Luciano Floridi.
520 _aThis work fulfills the need for a conceptual and technical framework to improve understanding of Information Quality (IQ)and Information Quality standards. The meaning and practical implementation of IQ are addressed, as it is relevant to any field where there is a need to handle data and issues such as accessibility, accuracy, completeness, currency, integrity, reliability, timeliness, usability, the role of metrics and so forth are all a part of Information Quality. In order to support the cross-fertilization of theory and practice, the latest research is presented in this book. The perspectives of experts from beyond the origins of IQ in computer science are included: library and information science practitioners and academics, philosophers of information, of engineering and technology, and of science are all contributors to this volume.   The chapters in this volume are based on the work of a collaborative research project involving the Arts and Humanities Research Council and Google and led by Professor Luciano Floridi, University of Oxford.   This work will be of interest to anyone handling data, including those from commercial, public, governmental and academic organizations. The expert editors’ contributions introduce issues of interest to scientists, database curators and philosophers, even though the issues may be disguised in the language and examples common to a different discipline.
650 0 _aPhilosophy.
650 0 _aLibrary science.
650 0 _aManagement.
650 0 _aIndustrial management.
650 0 _aMass media.
650 0 _aCommunication.
650 0 _aSocial sciences in mass media.
650 1 4 _aPhilosophy.
650 2 4 _aPhilosophy of Technology.
650 2 4 _aInnovation/Technology Management.
650 2 4 _aLibrary Science.
650 2 4 _aMedia Sociology.
700 1 _aFloridi, Luciano.
_eeditor.
700 1 _aIllari, Phyllis.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319071206
830 0 _aSynthese Library, Studies in Epistemology, Logic, Methodology, and Philosophy of Science ;
_v358
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-07121-3
912 _aZDB-2-SHU
999 _c208549
_d208549