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  1. Big data in the arts and humanities
    theory and practice
    Erschienen: 2018
    Verlag:  Taylor and Francis, an imprint of Auerbach Publications,, Boca Raton, FL

    I -- Understanding Big Data in Arts and Humanities -- 1 -- Literature Review on Big Data: What Do We Know So Far? -- Susanne Durst, Helio Aisenberg Ferenhof, and Bahram Hooshyar Yousefi -- 2 -- Toward a Data-Driven World: Challenges and Opportunities... mehr

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    I -- Understanding Big Data in Arts and Humanities -- 1 -- Literature Review on Big Data: What Do We Know So Far? -- Susanne Durst, Helio Aisenberg Ferenhof, and Bahram Hooshyar Yousefi -- 2 -- Toward a Data-Driven World: Challenges and Opportunities in Arts and Humanities -- Daniela Carlucci, Giovanni Schiuma, and Francesco Santarsiero -- 3 -- "Never Mind the Quality, Feel the Width": Big Data for Quality and Performance Evaluation in the Arts and Cultural Sector and the Case of "Culture Metrics" -- Abigail Gilmore, Kostas Arvanitis, and Alexandra Albert -- 4 -- Toward "Big Data" in Museum Provenance -- Jeffrey Smith -- 5 -- From Big Data to Thick Data: Theory and Practice -- Paul Moore -- II -- Digital Humanities -- 6 -- Big Data and the Coming Historical Revolution: From Black Boxes to Models -- Ian Milligan and Robert Warren -- 7 -- Use of Big Data in Historical Research -- Richard A -- Hawkins -- 8 -- The Study of Networked Content: Five Considerations for Digital Research in the Humanities -- Sabine Niederer -- 9 -- The English Gothic Novel: Theories and Praxis of Computer-Based Macroanalysis in Literary Studies -- Federica Perazzini -- III -- Managing Big Data with and for Arts and Humanities -- 10 -- Toward a Data Culture in the Cultural and Creative Industries -- Cimeon Ellerton -- 11 -- Arts Council England: Using Big Data to Understand the Quality of Arts and Cultural Work -- Carl Stevens -- 12 -- Visualization of Scientic Image Data as Art Data -- Jo Berry -- 13 -- Museums, Archives, and Universities—Structuring Future Connections with Big Data -- Jane Milosch, Michael J -- Kurtz, Gregory J -- Jansen, Andrea Hull, and Richard Marciano -- 14 -- Mobile Technology to Contribute Operatively to the Safeguard of Cultural Heritage -- Fabrizio Terenzio Gizzi, Beniamino Murgante, Marilisa Biscione, Maria Danese, Maria Sileo, Maria Rosaria Potenza, and Nicola Masini -- 15 -- Artists, Data, and Agency in Smart Cities -- Roz Stewart-Hall and Martha King.

     

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  2. Big Data in the Arts and Humanities
    Theory and Practice
    Erschienen: 2018; © 2018
    Verlag:  Auerbach Publications, Milton

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    Quelle: Verbundkataloge
    Beteiligt: Carlucci, Daniela (Sonstige)
    Sprache: Englisch
    Medientyp: Ebook
    Format: Online
    ISBN: 9781351172592
    Schriftenreihe: Data Analytics Applications Ser
    Schlagworte: Arts-Research-Methodology; Digital humanities; Humanities-Research-Methodology; Knowledge management; Technology and the arts; Digital Humanities; Datentechnik; Big Data; Datenverarbeitung; Interdisziplinäre Forschung; Geisteswissenschaften
    Umfang: 1 online resource (246 pages)
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  3. Big Data in the Arts and Humanities
    Theory and Practice
    Erschienen: 2018; ©2018
    Verlag:  Auerbach Publications, Milton

    Cover -- Half Title -- Copyright Page -- Table of Contents -- Editors -- Contributors -- Introduction -- The Questioning of Arts and Humanities to Navigate Digital Abundance -- Understanding Big Data in Arts and Humanities -- Digital Humanities --... mehr

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    Cover -- Half Title -- Copyright Page -- Table of Contents -- Editors -- Contributors -- Introduction -- The Questioning of Arts and Humanities to Navigate Digital Abundance -- Understanding Big Data in Arts and Humanities -- Digital Humanities -- Managing Big Data with and for Arts and Humanities -- Section I : Understanding Big Data in Arts and Humanities -- Chapter 1: Literature Review on Big Data: What Do We Know So Far? -- Introduction -- Background -- Method -- Findings -- General Observations -- Application Possibilities -- Challenges Regarding Big Data -- Implications of Big Data -- Strategic Renewal -- Big Data Frameworks -- Miscellaneous -- Future Research Avenues -- Final Remarks and Conclusion -- References -- Chapter 2: Toward a Data-Driven World: Challenges and Opportunities in Arts and Humanities -- Introduction -- About Big Data -- Riding the Big Data Wave in Arts and Humanities -- Opportunities -- Challenges -- Conclusions -- References -- Chapter 3: "Never Mind the Quality, Feel the Width": Big Data for Quality and Performance Evaluation in the Arts and Cultural Sector and the Case of "Culture Metrics" -- Introduction -- Potential of Big Data -- Using Culture Counts: The Case Study of Culture Metrics -- Evaluating the Promises of Culture Counts -- References -- Chapter 4: Toward "Big Data" in Museum Provenance -- The Big Question -- Challenges -- Linked Data -- Linked Open Data -- Unknowns and Ambiguities -- Research > Text -- Text > Linked Data -- CMOA's Elysa Tool -- Text > Relational Data -- Linked Data > Provenance Search -- Visualization -- Conclusion -- Acknowledgments -- Chapter 5: From Big Data to Thick Data: Theory and Practice -- Introduction -- Digital Ethnography -- Ethnography in a Data Context -- Creating the Ethnographic Narrative -- Thick Data -- Organizational Narrative -- Emergence of Arts Data -- References Section II : Digital Humanities -- Chapter 6: Big Data and the Coming Historical Revolution: From Black Boxes to Models -- The Flood: From Close Reading to Black Boxes -- Working at Scale: Digital Collaborations in the Age of Big Data -- The Path Forward? How Models Can Bridge the Divide and Attempt to Resolve the Paradox -- Conclusion -- References -- Chapter 7: Use of Big Data in Historical Research -- Introduction -- British Library Labs Case Studies of the Use of Big Data in Historical Research -- Other Case Studies of the Use of Big Data in Historical Research -- Conclusion -- References -- Chapter 8: The Study of Networked Content: Five Considerations for Digital Research in the Humanities -- Introduction -- Furthering Content Analysis -- Conclusions -- References -- Chapter 9: The English Gothic Novel: Theories and Praxis of Computer-Based Macroanalysis in Literary Studies -- Introduction -- Starting the Experiment: Corpus Preparation -- Two Experiments in Genre Stylometry: MFW and TTR -- An Experiment in Narrative Patterns: Mining the Motifs -- Making Sense of Numbers: Interpreting the Gothic -- Conclusion: Some Epistemological Considerations -- Bibliography -- Section III : Managing Big Data with and for Arts and Humanities -- Chapter 10: Toward a Data Culture in the Cultural and Creative Industries -- Introduction -- Barriers Are Cultural Not Technical -- Aggregation and Collaboration -- Skills and Silos -- The Implementation Gap -- Evidence versus Intuition -- Conclusion -- References -- Chapter 11: Arts Council England: Using Big Data to Understand the Quality of Arts and Cultural Work -- Introduction -- Why Artistic and Cultural Quality Is Difficult to Understand -- Arts Council's Current Approach to Understanding Quality -- Quality Metrics -- Manchester Metrics Pilot -- National Pilot -- National Test Phase -- Aggregate Analysis Art Form Analysis -- Enhancing Understanding of Quality and Driving Improvement -- Conclusion -- Bibliography -- Chapter 12: Visualization of Scientific Image Data as Art Data -- Experiencing Internal Structures of Cells Using Microscopy from Different Imaging Technologies -- Versatile Imaging as a 3D Sketch -- Dermal Drug Delivery-How to Increase Bioavailability in Viable Skin -- Evolving Data Sets through Creative Visual Reconstruction -- Analysis, Reflection, and Feedback -- Conclusion -- References -- Educational Resource and Training References -- Chapter 13: Museums, Archives, and Universities-Structuring Future Connections with Big Data -- Introduction -- New Strategies -- New Efforts to Aggregate Collections Data -- Development of World War II-Era Provenance Research -- Identifying Key Challenges -- New Partnerships and Big Data -- The Enhanced "International Research Portal for Records Related to Nazi-Era Cultural Property" Project (IRP2): A Continuing Case Study -- Provenance and Technical Challenges -- Project Management -- Technical Development -- Continued Development and Implementation -- Student Learning -- Conclusion and Next Steps -- Reference -- Chapter 14: Mobile Technology to Contribute Operatively to the Safeguard of Cultural Heritage -- Introduction -- State of the Art -- SaveHer Features -- Conclusions -- Acknowledgments -- References -- Chapter 15: Artists, Data, and Agency in Smart Cities -- Introduction -- Why Participation Is Key in a Smart City -- How KWMC Has Developed Work with Artists, Data, and People -- The Bristol Approach to Citizen Sensing -- Difference Made -- Conclusions -- References -- Index

     

    Export in Literaturverwaltung   RIS-Format
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    Hinweise zum Inhalt
    Quelle: Verbundkataloge
    Beteiligt: Carlucci, Daniela (MitwirkendeR)
    Sprache: Englisch
    Medientyp: Ebook
    Format: Online
    ISBN: 9781351172592
    Schriftenreihe: Data Analytics Applications Ser.
    Schlagworte: Arts-Research-Methodology; Digital humanities; Humanities-Research-Methodology; Knowledge management; Technology and the arts; Electronic books
    Umfang: 1 online resource (246 pages)
    Bemerkung(en):

    Description based on publisher supplied metadata and other sources