目次

I. Understanding Big Data in Arts and Humanities. 1. Literature Review on Big Data: What Do We Know So Far? 2. Toward a Data-Driven World: Challenges and Opportunities in Arts and Humanities. 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". 4. Toward "Big Data" in Museum Provenance. 5. From Big Data to Thick Data: Theory and Practice. Section II. Digital Humanities. 6. Big Data and the Coming Historical Revolution: From Black Boxes to Models. 7. Use of Big Data in Historical Research. 8. The Study of Networked Content: Five Considerations for Digital Research in the Humanities. 9. The English Gothic Novel: Theories and Praxis of Computer-Based Macroanalysis in Literary Studies. Section III. Managing Big Data with and for Arts and Humanities. 10. Toward a Data Culture in the Cultural and Creative Industries. 11. Arts Council England: Using Big Data to Understand the Quality of Arts and Cultural Work. 12. Visualization of Scientific Image Data as Art Data. 13. Museums, Archives, and Universities—Structuring Future Connections with Big Data. 14. Mobile Technology to Contribute Operatively to the Safeguard of Cultural Heritage. 15. Artists, Data, and Agency in Smart Cities.