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Big Data in the Arts and Humanities : Theory and Practice

Author: Giovanni Schiuma; Daniela Carlucci
Publisher: Boca Raton, FL : CRC Press, 2018.
Series: Data Analytics Applications Ser.
Edition/Format:   eBook : Document : EnglishView all editions and formats
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Schiuma, Giovanni.
Big Data in the Arts and Humanities : Theory and Practice.
Milton : Auerbach Publications, ©2018
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Giovanni Schiuma; Daniela Carlucci
ISBN: 9781351172585 1351172581
OCLC Number: 1034594314
Notes: Section III : Managing Big Data with and for Arts and Humanities.
Description: 1 online resource (246 pages).
Contents: 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. MiscellaneousFuture 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 CountsReferences; 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 HumanitiesChapter 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 HumanitiesIntroduction; 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.
Series Title: Data Analytics Applications Ser.
Responsibility: edited by Giovanni Schiuma and Daniela Carlucci.

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