Nick Krabbenhoeft, Assistant Director, Digital Preservation
Hilary Shiue, Digital Repository Coordinator
Digital Preservation Program, Digital Research, The New York Public Library
Preservica US User Group Meeting on August 24, 2022
The New York Public Library
Preservica Implementation
System Integrations and Data Model
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NYPL's Preservica Journey
2018-2021
2021-2022
Environmental Scans
Consultants
RFP Process
Demos
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NYPL's Context
3 Existing Descriptive Systems
Focus on Preserving Physical Objects
Multiple Access Strategies
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NYPL's Implementation Philosophy
Minimal description in Preservica
Store only identifiers to descriptions in other systems
Align digital object modeling with physical objects
Store files according to the objects their origin not their descriptions
Share data model across many types of objects
Use the same structure to simplify the logic to build new access methods
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Digital Object Modeling: Video
Digitization creates per-object packages of files
Video digitization (typically) produces
Object�SO
Metadata
SO
Contents
SO
SO: Structural Object (folder)
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Video
Media�IO
Photo�IO
Object�SO
Metadata
SO
Contents
SO
Dig. MD IO
IO: Information Object (asset)
Dig. MD: Digitization Metadata
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Video
Media�IO
Photo�IO
Object�SO
Metadata
SO
Contents
SO
Dig. MD IO
Representation: Preservation
Representation: Access
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Digital Object Modeling: Film
Use multiple representations when needed
Film digitization (typically) produces
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Film
Media�IO
Photo�IO
Object�SO
Metadata
SO
Contents
SO
Dig. MD IO
Rep.: Pres. 1 (preservation)
Rep.: Pres. 2 (mezzanine)
Rep.: Acce. (service)
Rep.: Representation
Pres.: Preservation
Acce.: Access
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Digital Object Modeling: Audio
Use multiple content objects when needed
Audio digitization (typically) produces
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Audio
CO: Content Object
Media�IO
Photo�IO
Object�SO
Metadata
SO
Contents
SO
Dig. MD IO
Rep: Pres 1
Rep: Access
Face 1 CO
Face 2 CO
Face 1 CO
Face 2 CO
Rep: Pres 2
Face 1 CO
Face 2 CO
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Minimal Description
3 Descriptive Systems, 3 Opportunities to Disagree
Timothy Leary Papers Finding Aid
A Digitized Item on Digital Collections Website
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Minimal Description
Store identifiers to each description
Each IO stores record identifiers from other systems like the barcode (catalog) and cms ID (collection management)
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Expanding the Model: Born-Digital
Handle born-digital disk contents like audio/video
Born-Digital Archival processing produces
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Born-Digital
File�IO
Photo�IO
Object�SO
Metadata
SO
Contents
SO
DFXML�IO
Rep: Pres
Rep: Acce
File�IO
File�IO
Rep: Pres
Rep: Acce
Rep: Pres
Rep: Acce
FTK�IO
DFXML: Digital Forensics XML
FTK: Forensic Toolkit
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Expanding the Model: Timed Text
Audio content will need timed text
Transcripts and captions produced during:
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Timed Text
Media�IO
Photo�IO
Object�SO
Metadata
SO
Contents
SO
Dig. MD IO
Rep: Pres
Rep: Acce
Caption�IO
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Supporting Access
Staff Access (via Preservica UA)
Access in Reading rooms
Access on Public Web
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Supporting Access
+
Improvements desired for Universal Access
Playback support for media assets with multiple Content Object
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Thank You
Hilary Shiue, Digital Repository Coordinator
hilaryszuyinshiue@nypl.org
Nick Krabbenhoeft, Assistant Director, Digital Preservation
nickkrabbenhoeft@nypl.org
Digital Preservation Program
digpres@nypl.org
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Links
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