SlideShare ist ein Scribd-Unternehmen logo
1 von 29
Putting it all
together for
Digital
Assets


Beck Locey
Jon Morley
Objective
Patrons – Globalization – To provide
access to library content throughout
worldwide.

Internal Operations – To create an
automated digital pipeline from
digitizing content to patron consumption.
Extending to crowdsourcing in future.
Physical Assets
            Digital Content
                   Church
                   History
                   Library


Rosetta          EAD Tool       Aleph            Primo
                  (Encoded      (Master
                   Archival     Record)
                 Description)




          2011                            2010
Digital Pipeline

Ingest Collection




 Rosetta            EAD Tool         Aleph      Primo
                     (Encoded        (Master
                      Archival       Record)
                    Description)




                      PID           555 tag    Harvest
                                               & Index
Click on
Thumbnail
Digital Pipeline
- Pipeline from digitization to delivery
- Manage large collections
- Component level detail
- Accommodate multiple library systems
     •   LDS Church Library
     •   BYU – Provo (University)
     •   BYU - Idaho (University)
     •   BYU – Hawaii (University)
- standards ( Dublin Core vs. Marc)
- Pipeline conduits – API’s, job-list’s, Cron Job,
     publication sets
Organizing and
  displaying
  Collections
EAD Tool
    (Encoded Archival Description)
    A finding aid that adds a viewable structure to a collection.

-   Many large, complex collections
-   Aleph stores only the collection level descriptive metadata
-   Add / edit / delete component level details
-   Rosetta 3.0 doesn’t have enough functionality for our
    collections.
EAD Tool Admin
EDIT

 Drag and drop
XML or CSV files
Rosetta Dual Role
Two instances of Rosetta
1. DRPS – Digital Records Preservation
   System (dark archive)
2. DCMS – Digital Content Management
   System (public use)
Why separate instances?
-Security / Access
-Redundancy
-Performance vs. Preservation
  - Fixity – don’t require for DCMS
  - Asset Lifecycle – frequent updates
  - Rendition – Web
    optimized, compression, integration
  - Storage layer – tape vs. spinning
Challenges
•   Configuration is fairly complex within and between systems
•   Large Batch Ingest has been difficult
•   Metadata enhancement and updating not easy
•   Re-ingesting content into Rosetta problematic
•   Collections Management
    – Built EAD tool to manage collections
    – Rosetta 3.x?
    – Periodicals?
• PDF Content
    – Progressive PDF download in Adobe Reader X is not fully supported
    – 2 searches to see results of a PDF Full text search.
Successes
– Ingested over 57,000 Family books ranging from 1
  MB to 800 MB for Family History department.
– Ingested 700,000 files. Most are linked to EADs for
  Church History.
– Consistent User experiences even with large files
– Good response times
  • 100,000 views / Month
  • Once the pipelines are established, they work well.
– Able to create customizable solutions for multiple
  institutions.
Under Development
– Restricted content
– Mobile capable solutions (Responsive
  Design)
– Reporting capabilities
– Monitor usage

Weitere ähnliche Inhalte

Ähnlich wie Putting it all together for digital assets

Greenstone aib 16_feb12_casarosa
Greenstone aib 16_feb12_casarosaGreenstone aib 16_feb12_casarosa
Greenstone aib 16_feb12_casarosaaccessoinformazione
 
Sem tech 2011 v8
Sem tech 2011 v8Sem tech 2011 v8
Sem tech 2011 v8dallemang
 
Ceph at the Digital Repository of Ireland - Ceph Day Frankfurt
Ceph at the Digital Repository of Ireland - Ceph Day Frankfurt Ceph at the Digital Repository of Ireland - Ceph Day Frankfurt
Ceph at the Digital Repository of Ireland - Ceph Day Frankfurt Ceph Community
 
Peter Tiernan - Ceph at the Digital Repository of Ireland
Peter Tiernan - Ceph at the Digital Repository of IrelandPeter Tiernan - Ceph at the Digital Repository of Ireland
Peter Tiernan - Ceph at the Digital Repository of Irelanddri_ireland
 
Intro to-technologies-Green-City-Hackathon-Athens
Intro to-technologies-Green-City-Hackathon-AthensIntro to-technologies-Green-City-Hackathon-Athens
Intro to-technologies-Green-City-Hackathon-AthensStoitsis Giannis
 
SFScon21 - Sander Van Dooren - Joinup: Maintaining an Open catalogue of reusa...
SFScon21 - Sander Van Dooren - Joinup: Maintaining an Open catalogue of reusa...SFScon21 - Sander Van Dooren - Joinup: Maintaining an Open catalogue of reusa...
SFScon21 - Sander Van Dooren - Joinup: Maintaining an Open catalogue of reusa...South Tyrol Free Software Conference
 
OpenSearchLab and the Lucene Ecosystem
OpenSearchLab and the Lucene EcosystemOpenSearchLab and the Lucene Ecosystem
OpenSearchLab and the Lucene EcosystemGrant Ingersoll
 
CASE-1 NY Philharmonic Case Study
CASE-1 NY Philharmonic Case StudyCASE-1 NY Philharmonic Case Study
CASE-1 NY Philharmonic Case StudyAlfresco Software
 
Technical Challenges and Approaches to Build an Open Ecosystem of Heterogeneo...
Technical Challenges and Approaches to Build an Open Ecosystem of Heterogeneo...Technical Challenges and Approaches to Build an Open Ecosystem of Heterogeneo...
Technical Challenges and Approaches to Build an Open Ecosystem of Heterogeneo...Ricard de la Vega
 
Drupal and Apache Stanbol
Drupal and Apache StanbolDrupal and Apache Stanbol
Drupal and Apache StanbolAlkuvoima
 
Introduction to the Semantic Web
Introduction to the Semantic WebIntroduction to the Semantic Web
Introduction to the Semantic WebNuxeo
 
Processing Big Data
Processing Big DataProcessing Big Data
Processing Big Datacwensel
 
Дмитрий Попович "How to build a data warehouse?"
Дмитрий Попович "How to build a data warehouse?"Дмитрий Попович "How to build a data warehouse?"
Дмитрий Попович "How to build a data warehouse?"Fwdays
 
Distributed Data processing in a Cloud
Distributed Data processing in a CloudDistributed Data processing in a Cloud
Distributed Data processing in a Cloudelliando dias
 
Fedora Overview
Fedora OverviewFedora Overview
Fedora Overvieweposthumus
 
Metadata & brokering - a modern approach #2
Metadata & brokering - a modern approach #2Metadata & brokering - a modern approach #2
Metadata & brokering - a modern approach #2Daniele Bailo
 

Ähnlich wie Putting it all together for digital assets (20)

Greenstone aib 16_feb12_casarosa
Greenstone aib 16_feb12_casarosaGreenstone aib 16_feb12_casarosa
Greenstone aib 16_feb12_casarosa
 
Spring Ldap
Spring LdapSpring Ldap
Spring Ldap
 
Sem tech 2011 v8
Sem tech 2011 v8Sem tech 2011 v8
Sem tech 2011 v8
 
Ceph at the Digital Repository of Ireland - Ceph Day Frankfurt
Ceph at the Digital Repository of Ireland - Ceph Day Frankfurt Ceph at the Digital Repository of Ireland - Ceph Day Frankfurt
Ceph at the Digital Repository of Ireland - Ceph Day Frankfurt
 
Peter Tiernan - Ceph at the Digital Repository of Ireland
Peter Tiernan - Ceph at the Digital Repository of IrelandPeter Tiernan - Ceph at the Digital Repository of Ireland
Peter Tiernan - Ceph at the Digital Repository of Ireland
 
Intro to-technologies-Green-City-Hackathon-Athens
Intro to-technologies-Green-City-Hackathon-AthensIntro to-technologies-Green-City-Hackathon-Athens
Intro to-technologies-Green-City-Hackathon-Athens
 
SFScon21 - Sander Van Dooren - Joinup: Maintaining an Open catalogue of reusa...
SFScon21 - Sander Van Dooren - Joinup: Maintaining an Open catalogue of reusa...SFScon21 - Sander Van Dooren - Joinup: Maintaining an Open catalogue of reusa...
SFScon21 - Sander Van Dooren - Joinup: Maintaining an Open catalogue of reusa...
 
OpenSearchLab and the Lucene Ecosystem
OpenSearchLab and the Lucene EcosystemOpenSearchLab and the Lucene Ecosystem
OpenSearchLab and the Lucene Ecosystem
 
CASE-1 NY Philharmonic Case Study
CASE-1 NY Philharmonic Case StudyCASE-1 NY Philharmonic Case Study
CASE-1 NY Philharmonic Case Study
 
Technical Challenges and Approaches to Build an Open Ecosystem of Heterogeneo...
Technical Challenges and Approaches to Build an Open Ecosystem of Heterogeneo...Technical Challenges and Approaches to Build an Open Ecosystem of Heterogeneo...
Technical Challenges and Approaches to Build an Open Ecosystem of Heterogeneo...
 
Drupal and Apache Stanbol
Drupal and Apache StanbolDrupal and Apache Stanbol
Drupal and Apache Stanbol
 
Introduction to the Semantic Web
Introduction to the Semantic WebIntroduction to the Semantic Web
Introduction to the Semantic Web
 
Java
JavaJava
Java
 
Processing Big Data
Processing Big DataProcessing Big Data
Processing Big Data
 
Technical Challenges and Approaches to Build an Open Ecosystem of Heterogeneo...
Technical Challenges and Approaches to Build an Open Ecosystem of Heterogeneo...Technical Challenges and Approaches to Build an Open Ecosystem of Heterogeneo...
Technical Challenges and Approaches to Build an Open Ecosystem of Heterogeneo...
 
Technical Challenges and Approaches to Build an Open Ecosystem of Heterogeneo...
Technical Challenges and Approaches to Build an Open Ecosystem of Heterogeneo...Technical Challenges and Approaches to Build an Open Ecosystem of Heterogeneo...
Technical Challenges and Approaches to Build an Open Ecosystem of Heterogeneo...
 
Дмитрий Попович "How to build a data warehouse?"
Дмитрий Попович "How to build a data warehouse?"Дмитрий Попович "How to build a data warehouse?"
Дмитрий Попович "How to build a data warehouse?"
 
Distributed Data processing in a Cloud
Distributed Data processing in a CloudDistributed Data processing in a Cloud
Distributed Data processing in a Cloud
 
Fedora Overview
Fedora OverviewFedora Overview
Fedora Overview
 
Metadata & brokering - a modern approach #2
Metadata & brokering - a modern approach #2Metadata & brokering - a modern approach #2
Metadata & brokering - a modern approach #2
 

Kürzlich hochgeladen

New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr LapshynFwdays
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Wonjun Hwang
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024The Digital Insurer
 

Kürzlich hochgeladen (20)

New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024
 

Putting it all together for digital assets

  • 1. Putting it all together for Digital Assets Beck Locey Jon Morley
  • 2. Objective Patrons – Globalization – To provide access to library content throughout worldwide. Internal Operations – To create an automated digital pipeline from digitizing content to patron consumption. Extending to crowdsourcing in future.
  • 3. Physical Assets Digital Content Church History Library Rosetta EAD Tool Aleph Primo (Encoded (Master Archival Record) Description) 2011 2010
  • 4. Digital Pipeline Ingest Collection Rosetta EAD Tool Aleph Primo (Encoded (Master Archival Record) Description) PID 555 tag Harvest & Index
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 11.
  • 12.
  • 13. Digital Pipeline - Pipeline from digitization to delivery - Manage large collections - Component level detail - Accommodate multiple library systems • LDS Church Library • BYU – Provo (University) • BYU - Idaho (University) • BYU – Hawaii (University) - standards ( Dublin Core vs. Marc) - Pipeline conduits – API’s, job-list’s, Cron Job, publication sets
  • 14. Organizing and displaying Collections
  • 15. EAD Tool (Encoded Archival Description) A finding aid that adds a viewable structure to a collection. - Many large, complex collections - Aleph stores only the collection level descriptive metadata - Add / edit / delete component level details - Rosetta 3.0 doesn’t have enough functionality for our collections.
  • 17.
  • 18. EDIT Drag and drop XML or CSV files
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25. Rosetta Dual Role Two instances of Rosetta 1. DRPS – Digital Records Preservation System (dark archive) 2. DCMS – Digital Content Management System (public use)
  • 26. Why separate instances? -Security / Access -Redundancy -Performance vs. Preservation - Fixity – don’t require for DCMS - Asset Lifecycle – frequent updates - Rendition – Web optimized, compression, integration - Storage layer – tape vs. spinning
  • 27. Challenges • Configuration is fairly complex within and between systems • Large Batch Ingest has been difficult • Metadata enhancement and updating not easy • Re-ingesting content into Rosetta problematic • Collections Management – Built EAD tool to manage collections – Rosetta 3.x? – Periodicals? • PDF Content – Progressive PDF download in Adobe Reader X is not fully supported – 2 searches to see results of a PDF Full text search.
  • 28. Successes – Ingested over 57,000 Family books ranging from 1 MB to 800 MB for Family History department. – Ingested 700,000 files. Most are linked to EADs for Church History. – Consistent User experiences even with large files – Good response times • 100,000 views / Month • Once the pipelines are established, they work well. – Able to create customizable solutions for multiple institutions.
  • 29. Under Development – Restricted content – Mobile capable solutions (Responsive Design) – Reporting capabilities – Monitor usage

Hinweis der Redaktion

  1. Digitize existing contentBorne digital content
  2. Operational Point of view.Encoded Archival Description (EAD) is an XML standard for encoding archival finding aids, maintained by the Technical Subcommittee for Encoded Archival Description of the Society of American Archivists, in partnership with the Library of Congress.
  3. Operational Point of view
  4. Patron point of view
  5. Patron point of view
  6. Choose a collection or item
  7. Choose a collection or item
  8. Go to the EAD Viewer which provides structure for collections.
  9. You can see different levels of the structure map. 3 leves are visible. There can be more. The levels will scroll to the left. A thumbnail from Rosetta will show on the right.Clicking on the thumbnail will show the content of that folder.
  10. This is Sitting Bull, who was a famous Indian chief in the 1800’s. You can click on a description on the left and change the photos.
  11. Clicking the INFO tab on the upper right will slide into view the existing metadata.
  12. Next,Aleph and Rosetta currently does not handle Collections very well. In the coming releases of Rosetta there are some Collection level capabilities but we had very large, complex collections.We built our own tool, the EAD ToolLet me show you an example
  13. Encoded Archival Description (EAD) is an XML standard for encoding archival finding aids, maintained by the Technical Subcommittee for Encoded Archival Description of the Society of American Archivists, in partnership with the Library of Congress.
  14. Where are we today?