SlideShare a Scribd company logo
1 of 15
Download to read offline
End to End:
Automating Digital Object Workflow
in the AT



Jennifer Waxman, Preservation Archivist
   Barbara Goldsmith Preservation and Conservation Department, NYU
Nathan Stevens, Programmer/Analyst
   Digital Library Technology Services, NYU


AT/Archon Roundtable, SAA 2011
End to End:
Automating Digital Object Workflow in the AT


  How do we use our data to support our imaging
   workflow?
  How do we automate workflow between archivists
   and the digital library department to compliment
   both the digital preservation infrastructure and the
   publication infrastructure?
  How do we link digital content to the descriptive
   record in the Archivists' Toolkit without duplicating
   time and effort by archivist and staff?
End to End:
Automating Digital Object Workflow in the AT


  Voices from the Food Revolution: People Who
  Changed the Way Americans Eat (MSS 309)


    Born-digital oral histories: 44 total interviewees
     (with multiple interviews)
    >170 files (.mp3, .doc, .docx)
    Intellectual arrangement: interviewee=series,
      interview=file
    Grant-funded: tied to deadline (for access)
End to End:
 Automating Digital Object Workflow in the AT



                                      Digital Object
• Archivist describes down
  to appropriate component
                                        Processing              • Associate URIs with
                                                                  derivate files, as provided
  level in AT                  • Map AT Persistent IDs to         by updated work order
• Export work order with         files in digital repository    • Publish finding aid; each
  human readable file          • Via plug-in, import work         URI becomes landing page
  names, based on Persistent     order to AT, creating            for files
  ID in AT                       digital instances with auto-
                                 generated handle-based
          Archival               URIs
                                                                          Publication
         Description


                                       Digital
     Archivist                                                         Publication
                                     Repository
                                                                          Unit
                                      Manager
End to End:
 Automating Digital Object Workflow in the AT



Archival Description

      Describes at
    appropriate level

      Export work
         order
End to End:
Automating Digital Object Workflow in the AT

                   Digital Object
                     Processing

                    Map files to Persistent
                      ID in work order


                    Import work order, via
                      plug-in, to create
                       digital instances
End to End:
Automating Digital Object Workflow in the AT




Publication
   Associate URIs
  with derivate files

   Publish finding
         aid
End to End:
Automating Digital Object Workflow in the AT
End to End:
Automating Digital Object Workflow in the AT

  Harry Randall: Fifteenth International Brigade
  Photograph Collection (ALBA PHOTO 011)
     2 sets of photographs digitized by vendor at
     different times
     New (>650) and updated (>1100) handle-based
     digital instances needed to be created
     Filesname of derivatives based on container
     indicator of analog instance
     Resource record contained original set of digital
     instances with static URIs
End to End:
Automating Digital Object Workflow in the AT

     Ideal Case: Go from list of derivatives to digital
     instances link to correct location in AT record




        List of                      Digital Instances
       Derivatives                   In AT Database
End to End:
Automating Digital Object Workflow in the AT

       Input file contains list of derivatives and directives
       on how to create digital instances
 # File contains the combined Randall photos master filenames
 # It's used as an import file for the BatchDO2 plug-in for creating and attaching digital
 # objects to the AT record (ALBA PHOTO 011 ).

 instance1,-:_,thumbnail,m.tif:Image-Service

 11_0001m.tif
 11_0002m.tif
 11_0003m.tif
 11_0004m.tif
 11_0005m.tif
 11_0006m.tif
 11_0007m.tif
 ….
End to End:
Automating Digital Object Workflow in the AT

  Total process takes less than 5 minutes:
     Unlink original digital instances containing static
     URI
     Configure URI source
     Import files list
     Save record with new and updated digital
     instances
End to End:
Automating Digital Object Workflow in the AT
End to End:
Automating Digital Object Workflow in the AT

  Potential Enhancements?
     More complete automation starting with file name:
     file name ⇒component ⇒ analog instance ⇒ digital instance
End to End:
Automating Digital Object Workflow in the AT


         BatchDO2 Plug-in can be found here:
         http://archiviststoolkit.org/node/246




                      Thank You

More Related Content

Similar to Automating Digital Object Workflow Between Archival Description and Digital Repositories

Data & analytics challenges in a microservice architecture
Data & analytics challenges in a microservice architectureData & analytics challenges in a microservice architecture
Data & analytics challenges in a microservice architectureNiels Naglé
 
Real time stock processing with apache nifi, apache flink and apache kafka
Real time stock processing with apache nifi, apache flink and apache kafkaReal time stock processing with apache nifi, apache flink and apache kafka
Real time stock processing with apache nifi, apache flink and apache kafkaTimothy Spann
 
Iot meets Serverless
Iot meets ServerlessIot meets Serverless
Iot meets ServerlessNarendran R
 
Serverless and AI: Orit Nissan-Messing, Iguazio, Serverless NYC 2018
Serverless and AI: Orit Nissan-Messing, Iguazio, Serverless NYC 2018Serverless and AI: Orit Nissan-Messing, Iguazio, Serverless NYC 2018
Serverless and AI: Orit Nissan-Messing, Iguazio, Serverless NYC 2018iguazio
 
Streaming Visualization
Streaming VisualizationStreaming Visualization
Streaming VisualizationGuido Schmutz
 
Introduction to Real-time, Streaming Data and Amazon Kinesis. Streaming Data ...
Introduction to Real-time, Streaming Data and Amazon Kinesis. Streaming Data ...Introduction to Real-time, Streaming Data and Amazon Kinesis. Streaming Data ...
Introduction to Real-time, Streaming Data and Amazon Kinesis. Streaming Data ...Adrian Hornsby
 
A Framework for Developing Pervasive Cross-Media Applications based on Physic...
A Framework for Developing Pervasive Cross-Media Applications based on Physic...A Framework for Developing Pervasive Cross-Media Applications based on Physic...
A Framework for Developing Pervasive Cross-Media Applications based on Physic...Beat Signer
 
... No it's Apache Kafka!
... No it's Apache Kafka!... No it's Apache Kafka!
... No it's Apache Kafka!makker_nl
 
Monitoring as Software Validation
Monitoring as Software ValidationMonitoring as Software Validation
Monitoring as Software ValidationBioDec
 
Data Platform Implementation using Databricks
Data Platform Implementation using DatabricksData Platform Implementation using Databricks
Data Platform Implementation using Databricksgeorgelpreput
 
Logging for Production Systems in The Container Era
Logging for Production Systems in The Container EraLogging for Production Systems in The Container Era
Logging for Production Systems in The Container EraSadayuki Furuhashi
 
xGem Data Stream Processing
xGem Data Stream ProcessingxGem Data Stream Processing
xGem Data Stream ProcessingJorge Hirtz
 
AiLibrary Whitepaper 2
AiLibrary Whitepaper 2AiLibrary Whitepaper 2
AiLibrary Whitepaper 2Gordon Kraft
 
Automatic semantic interpretation of unstructured data for knowledge management
Automatic semantic interpretation of unstructured data for knowledge managementAutomatic semantic interpretation of unstructured data for knowledge management
Automatic semantic interpretation of unstructured data for knowledge managementtmra
 
Acquiring Born-Digital Material at the Canadian Centre for Architecture
Acquiring Born-Digital Material at the Canadian Centre for ArchitectureAcquiring Born-Digital Material at the Canadian Centre for Architecture
Acquiring Born-Digital Material at the Canadian Centre for ArchitectureDavid Stevenson
 
GHK AiLibrary White paper03
GHK AiLibrary White paper03GHK AiLibrary White paper03
GHK AiLibrary White paper03Gordon Kraft
 
ETL Is Dead, Long-live Streams
ETL Is Dead, Long-live StreamsETL Is Dead, Long-live Streams
ETL Is Dead, Long-live StreamsC4Media
 
Why apache Flink is the 4G of Big Data Analytics Frameworks
Why apache Flink is the 4G of Big Data Analytics FrameworksWhy apache Flink is the 4G of Big Data Analytics Frameworks
Why apache Flink is the 4G of Big Data Analytics FrameworksSlim Baltagi
 
DevOps Sydney- Building Better Containers with Habitat
DevOps Sydney- Building Better Containers with HabitatDevOps Sydney- Building Better Containers with Habitat
DevOps Sydney- Building Better Containers with HabitatMatt Ray
 
A Real-Time Version of the Truth
 A Real-Time Version of the Truth A Real-Time Version of the Truth
A Real-Time Version of the TruthEric Kavanagh
 

Similar to Automating Digital Object Workflow Between Archival Description and Digital Repositories (20)

Data & analytics challenges in a microservice architecture
Data & analytics challenges in a microservice architectureData & analytics challenges in a microservice architecture
Data & analytics challenges in a microservice architecture
 
Real time stock processing with apache nifi, apache flink and apache kafka
Real time stock processing with apache nifi, apache flink and apache kafkaReal time stock processing with apache nifi, apache flink and apache kafka
Real time stock processing with apache nifi, apache flink and apache kafka
 
Iot meets Serverless
Iot meets ServerlessIot meets Serverless
Iot meets Serverless
 
Serverless and AI: Orit Nissan-Messing, Iguazio, Serverless NYC 2018
Serverless and AI: Orit Nissan-Messing, Iguazio, Serverless NYC 2018Serverless and AI: Orit Nissan-Messing, Iguazio, Serverless NYC 2018
Serverless and AI: Orit Nissan-Messing, Iguazio, Serverless NYC 2018
 
Streaming Visualization
Streaming VisualizationStreaming Visualization
Streaming Visualization
 
Introduction to Real-time, Streaming Data and Amazon Kinesis. Streaming Data ...
Introduction to Real-time, Streaming Data and Amazon Kinesis. Streaming Data ...Introduction to Real-time, Streaming Data and Amazon Kinesis. Streaming Data ...
Introduction to Real-time, Streaming Data and Amazon Kinesis. Streaming Data ...
 
A Framework for Developing Pervasive Cross-Media Applications based on Physic...
A Framework for Developing Pervasive Cross-Media Applications based on Physic...A Framework for Developing Pervasive Cross-Media Applications based on Physic...
A Framework for Developing Pervasive Cross-Media Applications based on Physic...
 
... No it's Apache Kafka!
... No it's Apache Kafka!... No it's Apache Kafka!
... No it's Apache Kafka!
 
Monitoring as Software Validation
Monitoring as Software ValidationMonitoring as Software Validation
Monitoring as Software Validation
 
Data Platform Implementation using Databricks
Data Platform Implementation using DatabricksData Platform Implementation using Databricks
Data Platform Implementation using Databricks
 
Logging for Production Systems in The Container Era
Logging for Production Systems in The Container EraLogging for Production Systems in The Container Era
Logging for Production Systems in The Container Era
 
xGem Data Stream Processing
xGem Data Stream ProcessingxGem Data Stream Processing
xGem Data Stream Processing
 
AiLibrary Whitepaper 2
AiLibrary Whitepaper 2AiLibrary Whitepaper 2
AiLibrary Whitepaper 2
 
Automatic semantic interpretation of unstructured data for knowledge management
Automatic semantic interpretation of unstructured data for knowledge managementAutomatic semantic interpretation of unstructured data for knowledge management
Automatic semantic interpretation of unstructured data for knowledge management
 
Acquiring Born-Digital Material at the Canadian Centre for Architecture
Acquiring Born-Digital Material at the Canadian Centre for ArchitectureAcquiring Born-Digital Material at the Canadian Centre for Architecture
Acquiring Born-Digital Material at the Canadian Centre for Architecture
 
GHK AiLibrary White paper03
GHK AiLibrary White paper03GHK AiLibrary White paper03
GHK AiLibrary White paper03
 
ETL Is Dead, Long-live Streams
ETL Is Dead, Long-live StreamsETL Is Dead, Long-live Streams
ETL Is Dead, Long-live Streams
 
Why apache Flink is the 4G of Big Data Analytics Frameworks
Why apache Flink is the 4G of Big Data Analytics FrameworksWhy apache Flink is the 4G of Big Data Analytics Frameworks
Why apache Flink is the 4G of Big Data Analytics Frameworks
 
DevOps Sydney- Building Better Containers with Habitat
DevOps Sydney- Building Better Containers with HabitatDevOps Sydney- Building Better Containers with Habitat
DevOps Sydney- Building Better Containers with Habitat
 
A Real-Time Version of the Truth
 A Real-Time Version of the Truth A Real-Time Version of the Truth
A Real-Time Version of the Truth
 

Recently uploaded

How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesHow to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesThousandEyes
 
[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality Assurance[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality AssuranceInflectra
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteDianaGray10
 
Manual 508 Accessibility Compliance Audit
Manual 508 Accessibility Compliance AuditManual 508 Accessibility Compliance Audit
Manual 508 Accessibility Compliance AuditSkynet Technologies
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfMounikaPolabathina
 
2024 April Patch Tuesday
2024 April Patch Tuesday2024 April Patch Tuesday
2024 April Patch TuesdayIvanti
 
Time Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsTime Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsNathaniel Shimoni
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxLoriGlavin3
 
Sample pptx for embedding into website for demo
Sample pptx for embedding into website for demoSample pptx for embedding into website for demo
Sample pptx for embedding into website for demoHarshalMandlekar2
 
Decarbonising Buildings: Making a net-zero built environment a reality
Decarbonising Buildings: Making a net-zero built environment a realityDecarbonising Buildings: Making a net-zero built environment a reality
Decarbonising Buildings: Making a net-zero built environment a realityIES VE
 
Modern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
Modern Roaming for Notes and Nomad – Cheaper Faster Better StrongerModern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
Modern Roaming for Notes and Nomad – Cheaper Faster Better Strongerpanagenda
 
Genislab builds better products and faster go-to-market with Lean project man...
Genislab builds better products and faster go-to-market with Lean project man...Genislab builds better products and faster go-to-market with Lean project man...
Genislab builds better products and faster go-to-market with Lean project man...Farhan Tariq
 
Generative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfGenerative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfIngrid Airi González
 
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentEmixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentPim van der Noll
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxLoriGlavin3
 
A Framework for Development in the AI Age
A Framework for Development in the AI AgeA Framework for Development in the AI Age
A Framework for Development in the AI AgeCprime
 
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfSo einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfpanagenda
 
Assure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyesAssure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyesThousandEyes
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxLoriGlavin3
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfLoriGlavin3
 

Recently uploaded (20)

How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesHow to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
 
[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality Assurance[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality Assurance
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test Suite
 
Manual 508 Accessibility Compliance Audit
Manual 508 Accessibility Compliance AuditManual 508 Accessibility Compliance Audit
Manual 508 Accessibility Compliance Audit
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdf
 
2024 April Patch Tuesday
2024 April Patch Tuesday2024 April Patch Tuesday
2024 April Patch Tuesday
 
Time Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsTime Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directions
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
 
Sample pptx for embedding into website for demo
Sample pptx for embedding into website for demoSample pptx for embedding into website for demo
Sample pptx for embedding into website for demo
 
Decarbonising Buildings: Making a net-zero built environment a reality
Decarbonising Buildings: Making a net-zero built environment a realityDecarbonising Buildings: Making a net-zero built environment a reality
Decarbonising Buildings: Making a net-zero built environment a reality
 
Modern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
Modern Roaming for Notes and Nomad – Cheaper Faster Better StrongerModern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
Modern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
 
Genislab builds better products and faster go-to-market with Lean project man...
Genislab builds better products and faster go-to-market with Lean project man...Genislab builds better products and faster go-to-market with Lean project man...
Genislab builds better products and faster go-to-market with Lean project man...
 
Generative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfGenerative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdf
 
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentEmixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
 
A Framework for Development in the AI Age
A Framework for Development in the AI AgeA Framework for Development in the AI Age
A Framework for Development in the AI Age
 
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfSo einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
 
Assure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyesAssure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyes
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdf
 

Automating Digital Object Workflow Between Archival Description and Digital Repositories

  • 1. End to End: Automating Digital Object Workflow in the AT Jennifer Waxman, Preservation Archivist Barbara Goldsmith Preservation and Conservation Department, NYU Nathan Stevens, Programmer/Analyst Digital Library Technology Services, NYU AT/Archon Roundtable, SAA 2011
  • 2. End to End: Automating Digital Object Workflow in the AT How do we use our data to support our imaging workflow? How do we automate workflow between archivists and the digital library department to compliment both the digital preservation infrastructure and the publication infrastructure? How do we link digital content to the descriptive record in the Archivists' Toolkit without duplicating time and effort by archivist and staff?
  • 3. End to End: Automating Digital Object Workflow in the AT Voices from the Food Revolution: People Who Changed the Way Americans Eat (MSS 309) Born-digital oral histories: 44 total interviewees (with multiple interviews) >170 files (.mp3, .doc, .docx) Intellectual arrangement: interviewee=series, interview=file Grant-funded: tied to deadline (for access)
  • 4. End to End: Automating Digital Object Workflow in the AT Digital Object • Archivist describes down to appropriate component Processing • Associate URIs with derivate files, as provided level in AT • Map AT Persistent IDs to by updated work order • Export work order with files in digital repository • Publish finding aid; each human readable file • Via plug-in, import work URI becomes landing page names, based on Persistent order to AT, creating for files ID in AT digital instances with auto- generated handle-based Archival URIs Publication Description Digital Archivist Publication Repository Unit Manager
  • 5. End to End: Automating Digital Object Workflow in the AT Archival Description Describes at appropriate level Export work order
  • 6. End to End: Automating Digital Object Workflow in the AT Digital Object Processing Map files to Persistent ID in work order Import work order, via plug-in, to create digital instances
  • 7. End to End: Automating Digital Object Workflow in the AT Publication Associate URIs with derivate files Publish finding aid
  • 8. End to End: Automating Digital Object Workflow in the AT
  • 9. End to End: Automating Digital Object Workflow in the AT Harry Randall: Fifteenth International Brigade Photograph Collection (ALBA PHOTO 011) 2 sets of photographs digitized by vendor at different times New (>650) and updated (>1100) handle-based digital instances needed to be created Filesname of derivatives based on container indicator of analog instance Resource record contained original set of digital instances with static URIs
  • 10. End to End: Automating Digital Object Workflow in the AT Ideal Case: Go from list of derivatives to digital instances link to correct location in AT record List of Digital Instances Derivatives In AT Database
  • 11. End to End: Automating Digital Object Workflow in the AT Input file contains list of derivatives and directives on how to create digital instances # File contains the combined Randall photos master filenames # It's used as an import file for the BatchDO2 plug-in for creating and attaching digital # objects to the AT record (ALBA PHOTO 011 ). instance1,-:_,thumbnail,m.tif:Image-Service 11_0001m.tif 11_0002m.tif 11_0003m.tif 11_0004m.tif 11_0005m.tif 11_0006m.tif 11_0007m.tif ….
  • 12. End to End: Automating Digital Object Workflow in the AT Total process takes less than 5 minutes: Unlink original digital instances containing static URI Configure URI source Import files list Save record with new and updated digital instances
  • 13. End to End: Automating Digital Object Workflow in the AT
  • 14. End to End: Automating Digital Object Workflow in the AT Potential Enhancements? More complete automation starting with file name: file name ⇒component ⇒ analog instance ⇒ digital instance
  • 15. End to End: Automating Digital Object Workflow in the AT BatchDO2 Plug-in can be found here: http://archiviststoolkit.org/node/246 Thank You