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Big Data in the Arts and Humanities: Theory and Practice [Kõva köide]

(University of Basilicata, Matera, Italy), (University of Basilicata, Potenza, Italy)
  • Formaat: Hardback, 214 pages, kõrgus x laius: 234x156 mm, kaal: 176 g, 25 Illustrations, black and white
  • Sari: Data Analytics Applications
  • Ilmumisaeg: 08-May-2018
  • Kirjastus: Auerbach Publishers Inc.
  • ISBN-10: 1498765858
  • ISBN-13: 9781498765855
Teised raamatud teemal:
Big Data in the Arts and Humanities: Theory and PracticeSuurem pilt
  • Formaat: Hardback, 214 pages, kõrgus x laius: 234x156 mm, kaal: 176 g, 25 Illustrations, black and white
  • Sari: Data Analytics Applications
  • Ilmumisaeg: 08-May-2018
  • Kirjastus: Auerbach Publishers Inc.
  • ISBN-10: 1498765858
  • ISBN-13: 9781498765855
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781498765855.html
Märksõnad:
As digital technologies occupy a more central role in working and everyday human life, individual and social realities are increasingly constructed and communicated through digital objects, which are progressively replacing and representing physical objects. They are even shaping new forms of virtual reality. This growing digital transformation coupled with technological evolution and the development of computer computation is shaping a cyber society whose working mechanisms are grounded upon the production, deployment, and exploitation of big data. In the arts and humanities, however, the notion of big data is still in its embryonic stage, and only in the last few years, have arts and cultural organizations and institutions, artists, and humanists started to investigate, explore, and experiment with the deployment and exploitation of big data as well as understand the possible forms of collaborations based on it.

Big Data in the Arts and Humanities: Theory and Practice explores the meaning, properties, and applications of big data. This book examines therelevance of big data to the arts and humanities, digital humanities, and management of big data with and for the arts and humanities. It explores the reasons and opportunities for the arts and humanities to embrace the big data revolution. The book also delineates managerial implications to successfully shape a mutually benecial partnership between the arts and humanities and the big data- and computational digital-based sciences.

Big data and arts and humanities can be likened to the rational and emotional aspects of the human mind. This book attempts to integrate these two aspects of human thought to advance decision-making and to enhance the expression of the best of human life.
Editors vii
Contributors ix
Introduction xxiii
Section I: Understanding Big Data In Arts And Humanities
1 Literature Review on Big Data: What Do We Know So Far?
3(12)
Susanne Durst
Helio Aisenberg Ferenhof
Bahram Hooshyar Yousefi
Introduction
4(1)
Background
4(1)
Method
4(1)
Findings
5(4)
General Observations
5(1)
Application Possibilities
5(1)
Challenges Regarding Big Data
6(1)
Implications of Big Data
7(1)
Strategic Renewal
8(1)
Big Data Frameworks
8(1)
Miscellaneous
9(1)
Future Research Avenues
9(1)
Final Remarks and Conclusion
10(1)
References
11(4)
2 Toward a Data-Driven World: Challenges and Opportunities in Arts and Humanities
15(12)
Daniela Carlucci
Giovanni Schiuma
Francesco Santarsiero
Introduction
15(2)
About Big Data
17(2)
Riding the Big Data Wave in Arts and Humanities
19(5)
Opportunities
19(4)
Challenges
23(1)
Conclusions
24(1)
References
25(2)
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"
27(14)
Abigail Gilmore
Kostas Arvanitis
Alexandra Albert
Introduction
28(1)
Potential of Big Data
29(2)
Using Culture Counts: The Case Study of Culture Metrics
31(5)
Evaluating the Promises of Culture Counts
36(2)
References
38(3)
4 Toward "Big Data" in Museum Provenance
41(10)
Jeffrey Smith
The Big Question
41(1)
Challenges
42(1)
Linked Data
42(1)
Linked Open Data
43(1)
Unknowns and Ambiguities
43(5)
Research > Text
45(1)
Text > Linked Data
45(1)
CMOA&aposs Elysa Tool
46(1)
Text > Relational Data
47(1)
Linked Data > Provenance Search
48(1)
Visualization
48(1)
Conclusion
49(1)
Acknowledgments
50(1)
5 From Big Data to Thick Data: Theory and Practice
51(14)
Paul Moore
Introduction
51(2)
Digital Ethnography
53(1)
Ethnography in a Data Context
54(1)
Creating the Ethnographic Narrative
55(1)
Thick Data
56(3)
Organizational Narrative
59(1)
Emergence of Arts Data
60(1)
References
61(4)
Section II: Digital Humanities
6 Big Data and the Coming Historical Revolution: From Black Boxes to Models
65(12)
Ian Milligan
Robert Warren
The Flood: From Close Reading to Black Boxes
66(3)
Working at Scale: Digital Collaborations in the Age of Big Data
69(1)
The Path Forward? How Models Can Bridge the Divide and Attempt to Resolve the Paradox
70(3)
Conclusion
73(1)
References
74(3)
7 Use of Big Data in Historical Research
77(12)
Richard A. Hawkins
Introduction
77(1)
British Library Labs Case Studies of the Use of Big Data in Historical Research
78(2)
Other Case Studies of the Use of Big Data in Historical Research
80(5)
Conclusion
85(1)
References
85(4)
8 The Study of Networked Content: Five Considerations for Digital Research in the Humanities
89(12)
Sabine Niederer
Introduction
89(1)
Furthering Content Analysis
90(8)
Conclusions
98(1)
References
99(2)
9 The English Gothic Novel: Theories and Praxis of Computer-Based Macroanalysis in Literary Studies
101(16)
Federica Perazzini
Introduction
101(2)
Starting the Experiment: Corpus Preparation
103(1)
Two Experiments in Genre Stylometry: MFW and TTR
104(4)
An Experiment in Narrative Patterns: Mining the Motifs
108(2)
Making Sense of Numbers: Interpreting the Gothic
110(2)
Conclusion: Some Epistemological Considerations
112(1)
Bibliography
113(4)
Section III: Managing Big Data With And For Arts And Humanities
10 Toward a Data Culture in the Cultural and Creative Industries
117(12)
Cimeon Ellerton
Introduction
117(1)
Barriers Are Cultural Not Technical
118(1)
Aggregation and Collaboration
119(3)
Skills and Silos
122(2)
The Implementation Gap
124(1)
Evidence versus Intuition
125(1)
Conclusion
126(1)
References
127(2)
11 Arts Council England: Using Big Data to Understand the Quality of Arts and Cultural Work
129(14)
Carl Stevens
Introduction
130(1)
Why Artistic and Cultural Quality Is Difficult to Understand
130(1)
Arts Council&aposs Current Approach to Understanding Quality
131(1)
Quality Metrics
132(1)
Manchester Metrics Pilot
133(1)
National Pilot
134(2)
National Test Phase
136(1)
Aggregate Analysis
137(2)
Art Form Analysis
139(1)
Enhancing Understanding of Quality and Driving Improvement
140(1)
Conclusion
141(1)
Bibliography
142(1)
12 Visualization of Scientific Image Data as Art Data
143(16)
Jo Berry
Experiencing Internal Structures of Cells Using Microscopy from Different Imaging Technologies
146(4)
Versatile Imaging as a 3D Sketch
150(1)
Dermal Drug Delivery-How to Increase Bioavailability in Viable Skin
150(2)
Evolving Data Sets through Creative Visual Reconstruction
152(2)
Analysis, Reflection, and Feedback
154(2)
Conclusion
156(1)
References
157(1)
Educational Resource and Training References
158(1)
13 Museums, Archives, and Universities-Structuring Future Connections with Big Data
159(14)
Jane Milosch
Michael J. Kurtz
Gregory J. Jansen
Andrea Hull
Richard Marciano
Introduction
160(1)
New Strategies
161(1)
New Efforts to Aggregate Collections Data
162(1)
Development of World War II-Era Provenance Research
162(2)
Identifying Key Challenges
164(1)
New Partnerships and Big Data
165(1)
The Enhanced "International Research Portal for Records Related to Nazi-Era Cultural Property" Project (IRP2): A Continuing Case Study
166(6)
Provenance and Technical Challenges
167(1)
Project Management
167(2)
Technical Development
169(1)
Continued Development and Implementation
170(1)
Student Learning
171(1)
Conclusion and Next Steps
172(1)
Reference
172(1)
14 Mobile Technology to Contribute Operatively to the Safeguard of Cultural Heritage
173(16)
Fabrizio Terenzio Gizzi
Beniamino Murgante
Marilisa Biscione
Maria Danese
Maria Sileo
Maria Rosaria Potenza
Nicola Masini
Introduction
173(3)
State of the Art
176(2)
SaveHer Features
178(5)
Conclusions
183(1)
Acknowledgments
184(1)
References
185(4)
15 Artists, Data, and Agency in Smart Cities
189(16)
Roz Stewart-Hall
Martha King
Introduction
189(1)
Why Participation Is Key in a Smart City
190(2)
How KWMC Has Developed Work with Artists, Data, and People
192(4)
The Bristol Approach to Citizen Sensing
196(4)
Difference Made
200(2)
Conclusions
202(1)
References
203(2)
Index 205
Giovanni Schiuma is professor of innovation management at the University of Basilicata (Italy) and visiting professor of Arts Based Management at University of the Arts London. He is widely recognized as one of the worlds leading experts in arts and business and has authored or coauthored more than 200 publications on a range of research topics particularly embracing strategic knowledge asset and intellectual capital management, strategic performance measurement and management, innovation systems, innovation management, and organizational development. He is an inspiring speaker and facilitator, with extensive research management expertise and excellent ability to coordinate complex projects and lead research teams. Giovanni holds a number of visiting professorships and research fellowship appointments with renowned international universities, and as a visiting lecturer, he regularly gives seminars, workshops, and master classes around the world.

Daniela Carlucci is an assistant professor at the University of Basilicata, Italy. She teaches business management, project management, and project evaluation and management. Her research interests focus mainly on knowledge assets management, performance measurement and management, decision support methods, and organizational development. She has been a visiting scholar at the Cranfield School of Management, visiting professor at the Tampere University of Technology, and visiting researcher at the University of Arts of London. She is author and coauthor of several publications, including chapters of books, articles, and research reports on a range of research topics. Her researches have been published in internationally recognized journals such as Expert Systems with Applications, Production Planning and Control, Healthcare Management Science, Measuring Business Excellence, Knowledge Management Research and Practice, and many others. She systematically carries out referee activities for international scientific journals. She is actively involved in relevant research and consultancy activities as researcher and has worked on research projects involving national organizations and institutions. Moreover, Daniela is systematically engaged in teaching activities in public and private institutions.