Big Data in the Arts and Humanities : Theory and Practice

Description

Content: 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 &gt Text Text &gt Linked Data CMOA's Elysa Tool Text &gt Relational Data Linked Data &gt 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