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Analyzing AV Sources as Data
Experiences Gained with Designing the CLARIAH Media Suite
Julia Noordegraaf
University of Amsterdam
Introduction
• Data transparency prerequisite for broad take-up DH
• Learning by doing:
– CREATE program (www.create.humanities.uva.nl)
– CLARIAH infrastructure (http://mediasuite.clariah.nl/)
• Examples:
– metadata criticism
– data and tool criticism
What does CLARIAH do?
Build a virtual research environment for conducting
humanities research with digital data and tools
Context
• Part of the National Roadmap Large-scale
Research Infrastructure
• Dutch contribution to to
the European research infrastructures for the
Humanities and Social Sciences
(CLARIN and DARIAH)
Focus
• Selective focus on three types of data & fields:
▪ Textual data – Linguistics
▪ Structured data – Socio-economic History
▪ Audiovisual data – Media Studies
• Aim to make collections and tools available for
other disciplines in the Humanities and Social
Sciences
Following the research process
Data in the Media suite
Overview of available
collections including
collection descriptions
(CKAN)
Collection Inspector Tool
1.Selecting a collection
2. Inspecting available metadata fields
3. Selecting date & analysis fields
Collection
inspector
results
EYE metadata
Hoyt, Eric, Kit Hughes, Derek Long,
Anthony Tran, and Kevin Ponto. 2014.
“Scaled Entity Search: A Method for
Media Historiography and Response to
Critiques of Big Humanities Data
Research.” In 2014 IEEE International
Conference on Big Data (Big Data),
51–59.
Advancing tool criticism
Spinque Desk
Conclusions
• More data = more transparency needed
• Black-boxing versus improving digital literacy
• Solutions:
– aggregate views on collections and metadata
quality
– tools for data criticism
– tools for tool criticism
Launch MSv3: April 2018
http://mediasuite.clariah.nl/
Julia Noordegraaf
j.j.noordegraaf@uva.nl
http://www.clariah.nl/werkpakketten/focusgebieden/media-studies

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Analyzing AV Sources as Data - Responsible Data Science lecture

  • 1. Analyzing AV Sources as Data Experiences Gained with Designing the CLARIAH Media Suite Julia Noordegraaf University of Amsterdam
  • 2. Introduction • Data transparency prerequisite for broad take-up DH • Learning by doing: – CREATE program (www.create.humanities.uva.nl) – CLARIAH infrastructure (http://mediasuite.clariah.nl/) • Examples: – metadata criticism – data and tool criticism
  • 3. What does CLARIAH do? Build a virtual research environment for conducting humanities research with digital data and tools
  • 4. Context • Part of the National Roadmap Large-scale Research Infrastructure • Dutch contribution to to the European research infrastructures for the Humanities and Social Sciences (CLARIN and DARIAH)
  • 5. Focus • Selective focus on three types of data & fields: ▪ Textual data – Linguistics ▪ Structured data – Socio-economic History ▪ Audiovisual data – Media Studies • Aim to make collections and tools available for other disciplines in the Humanities and Social Sciences
  • 6.
  • 7.
  • 9. Data in the Media suite Overview of available collections including collection descriptions (CKAN)
  • 10.
  • 11.
  • 14. 2. Inspecting available metadata fields
  • 15.
  • 16.
  • 17.
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  • 19. 3. Selecting date & analysis fields
  • 21.
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  • 24.
  • 25.
  • 26. Hoyt, Eric, Kit Hughes, Derek Long, Anthony Tran, and Kevin Ponto. 2014. “Scaled Entity Search: A Method for Media Historiography and Response to Critiques of Big Humanities Data Research.” In 2014 IEEE International Conference on Big Data (Big Data), 51–59.
  • 27.
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  • 31. Conclusions • More data = more transparency needed • Black-boxing versus improving digital literacy • Solutions: – aggregate views on collections and metadata quality – tools for data criticism – tools for tool criticism
  • 32. Launch MSv3: April 2018 http://mediasuite.clariah.nl/ Julia Noordegraaf j.j.noordegraaf@uva.nl http://www.clariah.nl/werkpakketten/focusgebieden/media-studies