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Communities Galleries, Libraries Archives Statistics Museums - - PowerPoint PPT Presentation
Communities Galleries, Libraries Archives Statistics Museums - - PowerPoint PPT Presentation
Communities Galleries, Libraries Archives Statistics Museums GLAM Galleries, Libraries Archives, Museums (GLAM) Books Art prints Journals My Glam world: Objects Sound Maps recordings Standards Objects Glam world Access Links
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Communities
Galleries, Libraries Archives Museums GLAM Statistics
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Galleries, Libraries Archives, Museums (GLAM)
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Maps Art prints Books Journals Sound recordings My Glam world: Objects
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Access Standards Objects Links Glam world
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GLAM culture
Because what is known must be shared
WorldCat
- 440+ million records
- 2.7 billion holdings
- 18,000 libraries
- 13 languages
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VIAF RDA MARC FAST Tools
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GLAM as an enabler for LOD
- History of electronic metadata/machine linking
- Shared international standards
- Content tags
- Rules for describing content
- Rules for access
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GLAM culture
Because what is known must be shared
20 billion RDF triples
- WorldCat
- VIAF
- FAST
- ISNI
- DDC
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Statistics
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Link Document Discover Manage My data world
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Admin data Context Data not
- bjects
Variables Statistics world
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Manuals DDI GSIM SDMX Data: tools
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Statistics and LOD
- Confined to a controlled sets of data
- Not as much standardisation
- Dublin core v DDI
- Not as much contextual information
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GLAM and Statistics are similar
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Usage Standards Concept v Object Metadata Similarities
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https://statswiki.unece.org/display/GSIMclick/Instance+Variable
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GLAM world Statistics world MARC SDMX (not necessarily international), DDI RDA DDI FAST No international equivalent, some Conceptual ontologies VIAF No equivalent
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Data literacy Quality Privacy Population Issues with linking
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Mitigation behind the scenes Mitigation behind the scenes
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Mitigation by limiting access
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Mitigation by linking to content
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Mitigation by limiting data
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Mitigation by limiting responsibility
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Extra context is needed for data. It needs to be stored where it can be accessed by machines and returned with a data search
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Integration Processing
Represented variables
Linking
Next steps
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