Presentation by Julia Noordegraaf at the conference Using digital heritage for research - policy challenges and opportunities _ Understanding the policies and strategies needed to integrate digital heritage into humanities research. A meeting organised by Europeana and the KB, Royal Library of the Netherlands. 25 & 26 April 2016 in the Hague, the Netherlands.

1. CREATE
Julia Noordegraaf
Studying the History of Creativity with Digital Data
and Tools

2. Digital Heritage
Preservation
KIEM Archiving Interactive Media
New Approaches to the
Conservation of Contemporary
Art (NACCA)
H2020
Marie Curie
ITN
Reuse: eHumanities
Creative Amsterdam (UvA, ACHI)
KIEM Data-driven Film History
CLARIAH
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3. Today:
1. Research practices in Media Studies
2. Data-driven research
3. Potential and pitfalls
4. Recommendations
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4. 1. RESEARCH PRACTICES IN
MEDIA STUDIES
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5. Media Studies
 Content, history, effects
mass media
 Critical theory
 Small scale
 Interpretative methods
(hermeneutics)
 Critical historical analysis
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6. Digitization
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7. 2. DATA-DRIVEN RESEARCH
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8. Two domains:
1. “Textual” analysis of media content
2. Socio-economic historical research on production,
distribution, consumption
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9. Distant “reading"
Cinemetrics analysis of Casablanca (1942),
Yuri Tsivian (UChicago)
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Visualization of all face close-ups
in Vertov’s The Eleventh Year
(1928), Austrian Film Archive/Lev
Manovich (CUNY)

10. Context Analysis
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Cinemas in Rome 1950s, Italian
Cinema Audiences project AHRC
(Daniela Treveri, Oxford Brookes)
Popularity of Asta Nielsen films in NL,
Ansje van Beusekom, UU (2013)

11. CREATE 11
Data-driven Film History
 Mapping Desmet
 Colour analysis early film programmes
Giovanna Fossati (EYE/UvA), Jasmijn van Gorp (UU), Christian
Olesen, Eef Masson, Julia Noordegraaf (UvA), Disepctu, Hiro

12. Cinema Parisien 3D
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Julia Noordegraaf,
Loes Opgenhaffen,
Norbert Bakker
(UvA, CREATE)

13. Cinema Parisien 3D
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14. 3. POTENTIAL AND PITFALLS
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15. Potential
 Increase scope (geographical, temporal)
 Increase complexity (multiple dimensions)
 Test assumptions
 Discover unexpected patterns
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16. Pitfalls
 Lack of comprehensive datasets
 Limited interoperability
 Lack of access to AV & contextual sources
 Knowledge on computing & statistical methods
 Lack of transparency data and tools
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17. 4. RECOMMENDATIONS
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18. Recommendations
 Improve access (e.g., CLARIAH)
 Collaborate to develop standards for data
 Educate and train researchers:
 Theoretical approach
 Method
 Sources
 Means of analysis, interpretation, visualization
 Distinguish research from creative use
 Improve transparency data and tools
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19. CREATE 19
Torget et al. Mapping Texts White Paper (2011)

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