SlideShare una empresa de Scribd logo
1 de 32
Descargar para leer sin conexión
Digital Asset Collections and
Course Materials: Yale University

Pam Patterson
Senior Instructional Technologist, Yale University


Cindy Valladares
Product Marketing Manager, Extensis


  AGENDA:
    Yale Case Study
    DAM Best Practices
    Q&A
Digital Asset Collections and
Course Materials: Yale University


Pam Patterson
Senior Instructional Technologist
Instructional Technology Group
Academic Media and Technology
Yale University
Yale Instructional Technology Group

    ITG’s Mission                     My Role – Project Lead
      Faculty of Arts and Sciences     DAM & digital media creation
      Help with technology             Classroom presentations
      Exceed expectations              Website, Blogs, Wikis
      R&D emerging technologies        Intern program




3
Yale and ITG Stats

    Yale
      78 major areas of study
      Approx 5200 students
      Approx 1100 faculty


    ITG
      3 instructional technologists
      1 instructional designer
      1 web developer
      12 student interns
4
ITG Portfolio Stats

      50 served and active catalogs
      100s to 10,000s of assets
      50 faculty & 19 staff licenses
      2 servers running PS 8.5 and NP 8.5
      12 active NetPublish sites




5
Addressing Personal Collection Needs

    Before DAM
      Collections on faculty machines
      File name collisions
      Nested folder structures
      Hard to find assets
      Unable to share assets




6
Addressing Personal Collection Needs

    Challenges
      Identify and organize assets
      Changing file structures
      Multiple metadata authors
      Multiple file formats and file sizes
      Varied client web output needs
      Novice technical users




7
Requirements for DAM Solution

      Shared catalogs
      Multiple editors
      Dynamic web output
      Extensible metadata
      Visual catalogs
      Custom views and fields
      Import and export large datasets
      Galleries and subsets




8
Extensis Solution: Implementation

      2 Windows boxes
      Partnership with Library and Visual Resource Collection
      Photography Services and Clip Capture
      Standardized file naming convention
      Interns to organize and convert digital assets
      Training provided




9
Results and Benefits

       Faculty fully leverages all digital assets
       Students: review materials dynamically
       Partnership with library:
        -  Consistent metadata structures
        -  Content specialists




10
Workflow: From Personal Photography
               to Database




11
Course Image Set




12
Workflow: From Slides to Website




13
Slide Review Site




14
Slide Review Site




15
Workflow: Teaching Collection




16
Media Sets




17
Next Steps

       Leverage XMP with Adobe
       Script exporting of data
       Build customized NP templates
       Standardize fields for catalog templates
       GPS units for traveling faculty




18
DIGITAL ASSET MANAGEMENT
BEST PRACTICES




Cindy Valladares
Product Marketing Manager, Extensis
What is DAM?


     Tasks and Decisions About your Assets:
       Ingesting
       Annotating
       Cataloguing
       Storing
       Retrieving


       Reduce Time & Costs
       Maximize ROI
       Faster Services & Products
       Streamline Compliance
20
DAM Market


       SMB DAMs
       Enterprise DAMs




21
DAM Market


       SMB DAMs
       Enterprise DAMs
       (Cataloguers)




22
DAM Market


       SMB DAMs
       Enterprise DAMs
       (Cataloguers)
       Hosted DAMs
       Platform DAMs




23
DAM Best Practices


       Involve Main Stakeholders
       Understand your Now
       Define your Future Workflow
       Schema, Taxonomy, Folksonomy and Metadata
       Organize Assets
       Archive and Back Up
       Asset Distribution




24
Involve Main Stakeholders


       Part of the Solution
      (Not the Problem)
       Share Logic for Managing Assets
       Gather Data on Existing Processes
       Listen to Pains/Problems/Bottlenecks
       Address Business Issues




25
Understand Your Now


       Current Business Processes
       Existing Organizational Structure
       Hardware/Software Infrastructure
       Identify Your Pain Points
       Consensus on What to Improve




26
Define Your Future Workflow


       Set Up Goals
       Identify Tasks
       Create Role-Based Responsibilities
       Assign Roles to Individuals
       Define your Desired Workflow




27
Schema, Taxonomy, Folksonomy,
     Metadata

       Be Practical and Consistent
       Schema: Framework or Structure (List of Fields)
          Crucial Info
          Nice to Have
          Can Live Without
       Taxonomy: Controlled Vocabulary
       Folksonomy: Collaborative Method
       Metadata: Data About Your Data



28
Organizing Your Assets


       Catalogs
       Folder Structure and Hierarchies
       Naming Convention
          Be aware of cross-platform consideration
          Spaces or underscores?
          Dates simple and consistent
          Rename files – avoid same file name in different folders




29
Archive and Back Up


       Archive to Server
       Back-Up Files
          Invaluable in terms of recovering
           files accidentally lost
          Get them out of the building




30
Asset Distribution


       Multiple Audiences
       Controlled Distribution
       Self-Service Portal
       Ability to Easily Make Asset Request


        http://bigshoe.extensis.com
        http://medic.extensis.com
        http://widgets.extensis.com


31
Additional Resources


       Portfolio Server Live & On-Demand Webcasts
       http://www.extensis.com/webcasts


       DAM Best Practices Guide
       http://www.extensis.com/dambpg




32

Más contenido relacionado

Similar a Yale University: Digital Asset Collections and Course Materials

Electronic Data Processing
Electronic Data ProcessingElectronic Data Processing
Electronic Data ProcessingAnjan Mahanta
 
How Hewlett Packard Enterprise Gets Real with IoT Analytics
How Hewlett Packard Enterprise Gets Real with IoT AnalyticsHow Hewlett Packard Enterprise Gets Real with IoT Analytics
How Hewlett Packard Enterprise Gets Real with IoT AnalyticsArcadia Data
 
Navigating the World of User Data Management and Data Discovery
Navigating the World of User Data Management and Data DiscoveryNavigating the World of User Data Management and Data Discovery
Navigating the World of User Data Management and Data DiscoveryDataWorks Summit/Hadoop Summit
 
Electronic Document Management Case Study
Electronic Document Management Case StudyElectronic Document Management Case Study
Electronic Document Management Case StudyDougWinning
 
Developing and deploying AI solutions on the cloud using Team Data Science Pr...
Developing and deploying AI solutions on the cloud using Team Data Science Pr...Developing and deploying AI solutions on the cloud using Team Data Science Pr...
Developing and deploying AI solutions on the cloud using Team Data Science Pr...Debraj GuhaThakurta
 
Webinar: Cleaning up the SDS Mess - Four Keys to Success
Webinar: Cleaning up the SDS Mess - Four Keys to SuccessWebinar: Cleaning up the SDS Mess - Four Keys to Success
Webinar: Cleaning up the SDS Mess - Four Keys to SuccessStorage Switzerland
 
Driving Enterprise Adoption: Tragedies, Triumphs and Our NEXT
Driving Enterprise Adoption: Tragedies, Triumphs and Our NEXTDriving Enterprise Adoption: Tragedies, Triumphs and Our NEXT
Driving Enterprise Adoption: Tragedies, Triumphs and Our NEXTDataWorks Summit
 
engage 2015 - - 2015 - Infrastructure Assessment - Analyze, Visualize and Op...
engage 2015 -  - 2015 - Infrastructure Assessment - Analyze, Visualize and Op...engage 2015 -  - 2015 - Infrastructure Assessment - Analyze, Visualize and Op...
engage 2015 - - 2015 - Infrastructure Assessment - Analyze, Visualize and Op...Christoph Adler
 
ADV Slides: Building and Growing Organizational Analytics with Data Lakes
ADV Slides: Building and Growing Organizational Analytics with Data LakesADV Slides: Building and Growing Organizational Analytics with Data Lakes
ADV Slides: Building and Growing Organizational Analytics with Data LakesDATAVERSITY
 
Enterprise Data Marketplace: A Centralized Portal for All Your Data Assets
Enterprise Data Marketplace: A Centralized Portal for All Your Data AssetsEnterprise Data Marketplace: A Centralized Portal for All Your Data Assets
Enterprise Data Marketplace: A Centralized Portal for All Your Data AssetsDenodo
 
ISBG 2015 - Infrastructure Assessment - Analyze, Visualize and Optimize
ISBG 2015 - Infrastructure Assessment - Analyze, Visualize and OptimizeISBG 2015 - Infrastructure Assessment - Analyze, Visualize and Optimize
ISBG 2015 - Infrastructure Assessment - Analyze, Visualize and OptimizeChristoph Adler
 
Data Management - Full Stack Deep Learning
Data Management - Full Stack Deep LearningData Management - Full Stack Deep Learning
Data Management - Full Stack Deep LearningSergey Karayev
 
Cb Cetis June 2007 Final
Cb Cetis June 2007 FinalCb Cetis June 2007 Final
Cb Cetis June 2007 FinalSheila MacNeill
 
Extreme SSAS- SQL 2011
Extreme SSAS- SQL 2011Extreme SSAS- SQL 2011
Extreme SSAS- SQL 2011Itay Braun
 
ConfluentMinds - Auto-creating logic execution hierarchy from source code and...
ConfluentMinds - Auto-creating logic execution hierarchy from source code and...ConfluentMinds - Auto-creating logic execution hierarchy from source code and...
ConfluentMinds - Auto-creating logic execution hierarchy from source code and...Ashok Panigrahi
 
Lombardi Wikis - collaborative information development, with DITA XML in the mix
Lombardi Wikis - collaborative information development, with DITA XML in the mixLombardi Wikis - collaborative information development, with DITA XML in the mix
Lombardi Wikis - collaborative information development, with DITA XML in the mixguest47c1f1
 
Lombardi Wikis - a CenTex DITA UG panel presentation
Lombardi Wikis - a CenTex DITA UG panel presentationLombardi Wikis - a CenTex DITA UG panel presentation
Lombardi Wikis - a CenTex DITA UG panel presentationLisa Dyer
 
ADV Slides: When and How Data Lakes Fit into a Modern Data Architecture
ADV Slides: When and How Data Lakes Fit into a Modern Data ArchitectureADV Slides: When and How Data Lakes Fit into a Modern Data Architecture
ADV Slides: When and How Data Lakes Fit into a Modern Data ArchitectureDATAVERSITY
 
Data management for TA's
Data management for TA'sData management for TA's
Data management for TA'saaroncollie
 
Identity Management: Tools, processes & services
Identity Management: Tools, processes & servicesIdentity Management: Tools, processes & services
Identity Management: Tools, processes & servicesJISC Netskills
 

Similar a Yale University: Digital Asset Collections and Course Materials (20)

Electronic Data Processing
Electronic Data ProcessingElectronic Data Processing
Electronic Data Processing
 
How Hewlett Packard Enterprise Gets Real with IoT Analytics
How Hewlett Packard Enterprise Gets Real with IoT AnalyticsHow Hewlett Packard Enterprise Gets Real with IoT Analytics
How Hewlett Packard Enterprise Gets Real with IoT Analytics
 
Navigating the World of User Data Management and Data Discovery
Navigating the World of User Data Management and Data DiscoveryNavigating the World of User Data Management and Data Discovery
Navigating the World of User Data Management and Data Discovery
 
Electronic Document Management Case Study
Electronic Document Management Case StudyElectronic Document Management Case Study
Electronic Document Management Case Study
 
Developing and deploying AI solutions on the cloud using Team Data Science Pr...
Developing and deploying AI solutions on the cloud using Team Data Science Pr...Developing and deploying AI solutions on the cloud using Team Data Science Pr...
Developing and deploying AI solutions on the cloud using Team Data Science Pr...
 
Webinar: Cleaning up the SDS Mess - Four Keys to Success
Webinar: Cleaning up the SDS Mess - Four Keys to SuccessWebinar: Cleaning up the SDS Mess - Four Keys to Success
Webinar: Cleaning up the SDS Mess - Four Keys to Success
 
Driving Enterprise Adoption: Tragedies, Triumphs and Our NEXT
Driving Enterprise Adoption: Tragedies, Triumphs and Our NEXTDriving Enterprise Adoption: Tragedies, Triumphs and Our NEXT
Driving Enterprise Adoption: Tragedies, Triumphs and Our NEXT
 
engage 2015 - - 2015 - Infrastructure Assessment - Analyze, Visualize and Op...
engage 2015 -  - 2015 - Infrastructure Assessment - Analyze, Visualize and Op...engage 2015 -  - 2015 - Infrastructure Assessment - Analyze, Visualize and Op...
engage 2015 - - 2015 - Infrastructure Assessment - Analyze, Visualize and Op...
 
ADV Slides: Building and Growing Organizational Analytics with Data Lakes
ADV Slides: Building and Growing Organizational Analytics with Data LakesADV Slides: Building and Growing Organizational Analytics with Data Lakes
ADV Slides: Building and Growing Organizational Analytics with Data Lakes
 
Enterprise Data Marketplace: A Centralized Portal for All Your Data Assets
Enterprise Data Marketplace: A Centralized Portal for All Your Data AssetsEnterprise Data Marketplace: A Centralized Portal for All Your Data Assets
Enterprise Data Marketplace: A Centralized Portal for All Your Data Assets
 
ISBG 2015 - Infrastructure Assessment - Analyze, Visualize and Optimize
ISBG 2015 - Infrastructure Assessment - Analyze, Visualize and OptimizeISBG 2015 - Infrastructure Assessment - Analyze, Visualize and Optimize
ISBG 2015 - Infrastructure Assessment - Analyze, Visualize and Optimize
 
Data Management - Full Stack Deep Learning
Data Management - Full Stack Deep LearningData Management - Full Stack Deep Learning
Data Management - Full Stack Deep Learning
 
Cb Cetis June 2007 Final
Cb Cetis June 2007 FinalCb Cetis June 2007 Final
Cb Cetis June 2007 Final
 
Extreme SSAS- SQL 2011
Extreme SSAS- SQL 2011Extreme SSAS- SQL 2011
Extreme SSAS- SQL 2011
 
ConfluentMinds - Auto-creating logic execution hierarchy from source code and...
ConfluentMinds - Auto-creating logic execution hierarchy from source code and...ConfluentMinds - Auto-creating logic execution hierarchy from source code and...
ConfluentMinds - Auto-creating logic execution hierarchy from source code and...
 
Lombardi Wikis - collaborative information development, with DITA XML in the mix
Lombardi Wikis - collaborative information development, with DITA XML in the mixLombardi Wikis - collaborative information development, with DITA XML in the mix
Lombardi Wikis - collaborative information development, with DITA XML in the mix
 
Lombardi Wikis - a CenTex DITA UG panel presentation
Lombardi Wikis - a CenTex DITA UG panel presentationLombardi Wikis - a CenTex DITA UG panel presentation
Lombardi Wikis - a CenTex DITA UG panel presentation
 
ADV Slides: When and How Data Lakes Fit into a Modern Data Architecture
ADV Slides: When and How Data Lakes Fit into a Modern Data ArchitectureADV Slides: When and How Data Lakes Fit into a Modern Data Architecture
ADV Slides: When and How Data Lakes Fit into a Modern Data Architecture
 
Data management for TA's
Data management for TA'sData management for TA's
Data management for TA's
 
Identity Management: Tools, processes & services
Identity Management: Tools, processes & servicesIdentity Management: Tools, processes & services
Identity Management: Tools, processes & services
 

Más de Extensis

Extensis portfolio: How to Effectively Manage Thousand of Digital Assets
Extensis portfolio: How to Effectively Manage Thousand of Digital AssetsExtensis portfolio: How to Effectively Manage Thousand of Digital Assets
Extensis portfolio: How to Effectively Manage Thousand of Digital AssetsExtensis
 
IAITAM Spring ACE, Extensis Presentation
IAITAM Spring ACE, Extensis PresentationIAITAM Spring ACE, Extensis Presentation
IAITAM Spring ACE, Extensis PresentationExtensis
 
Creating a Branding Style Guide by Pariah Burke
Creating a Branding Style Guide by Pariah BurkeCreating a Branding Style Guide by Pariah Burke
Creating a Branding Style Guide by Pariah BurkeExtensis
 
Intro to Digital Asset Management (DAM)
Intro to Digital Asset Management (DAM)Intro to Digital Asset Management (DAM)
Intro to Digital Asset Management (DAM)Extensis
 
SANDOW: Universal Type Server Implementation Case Study
SANDOW: Universal Type Server Implementation Case StudySANDOW: Universal Type Server Implementation Case Study
SANDOW: Universal Type Server Implementation Case StudyExtensis
 
DAM Case Study
DAM Case StudyDAM Case Study
DAM Case StudyExtensis
 
Future Trends in Font Management
Future Trends in Font ManagementFuture Trends in Font Management
Future Trends in Font ManagementExtensis
 
Artificial Intelligence & DAM: The New Metadata Workhorse with Clarifai
Artificial Intelligence & DAM: The New Metadata Workhorse with ClarifaiArtificial Intelligence & DAM: The New Metadata Workhorse with Clarifai
Artificial Intelligence & DAM: The New Metadata Workhorse with ClarifaiExtensis
 
Fonts, Images, Licenses and Intellectual Property Law
Fonts, Images, Licenses and Intellectual Property LawFonts, Images, Licenses and Intellectual Property Law
Fonts, Images, Licenses and Intellectual Property LawExtensis
 
Using DAM to improve your productivity
Using DAM to improve your productivityUsing DAM to improve your productivity
Using DAM to improve your productivityExtensis
 
Webcast: Making File Metadata Work
Webcast: Making File Metadata WorkWebcast: Making File Metadata Work
Webcast: Making File Metadata WorkExtensis
 
Webcast: Getting Started With DAM
Webcast: Getting Started With DAMWebcast: Getting Started With DAM
Webcast: Getting Started With DAMExtensis
 
Font Trends Survey REport
Font Trends Survey REportFont Trends Survey REport
Font Trends Survey REportExtensis
 
Vjoon K4 Overview at the NYC Fonts in Publishing Seminar
Vjoon K4 Overview at the NYC Fonts in Publishing SeminarVjoon K4 Overview at the NYC Fonts in Publishing Seminar
Vjoon K4 Overview at the NYC Fonts in Publishing SeminarExtensis
 
FontLink - Serving Fonts in your Adobe InDesign Server Workflow
FontLink - Serving Fonts in your Adobe InDesign Server WorkflowFontLink - Serving Fonts in your Adobe InDesign Server Workflow
FontLink - Serving Fonts in your Adobe InDesign Server WorkflowExtensis
 
Fonts in Publishing - What's the issue?
Fonts in Publishing - What's the issue?Fonts in Publishing - What's the issue?
Fonts in Publishing - What's the issue?Extensis
 
Your web font is crap - webvisions pdx 2014
Your web font is crap - webvisions pdx 2014Your web font is crap - webvisions pdx 2014
Your web font is crap - webvisions pdx 2014Extensis
 
The State of Fonts & Font Management - Chicago IDUG
The State of Fonts & Font Management - Chicago IDUGThe State of Fonts & Font Management - Chicago IDUG
The State of Fonts & Font Management - Chicago IDUGExtensis
 
Fonts, Licenses and Intellectual Property Law - Chicago Font Symposium
Fonts, Licenses and Intellectual Property Law - Chicago Font SymposiumFonts, Licenses and Intellectual Property Law - Chicago Font Symposium
Fonts, Licenses and Intellectual Property Law - Chicago Font SymposiumExtensis
 
Chicago Font Symposium - The Evolution of Font Management
Chicago Font Symposium - The Evolution of Font ManagementChicago Font Symposium - The Evolution of Font Management
Chicago Font Symposium - The Evolution of Font ManagementExtensis
 

Más de Extensis (20)

Extensis portfolio: How to Effectively Manage Thousand of Digital Assets
Extensis portfolio: How to Effectively Manage Thousand of Digital AssetsExtensis portfolio: How to Effectively Manage Thousand of Digital Assets
Extensis portfolio: How to Effectively Manage Thousand of Digital Assets
 
IAITAM Spring ACE, Extensis Presentation
IAITAM Spring ACE, Extensis PresentationIAITAM Spring ACE, Extensis Presentation
IAITAM Spring ACE, Extensis Presentation
 
Creating a Branding Style Guide by Pariah Burke
Creating a Branding Style Guide by Pariah BurkeCreating a Branding Style Guide by Pariah Burke
Creating a Branding Style Guide by Pariah Burke
 
Intro to Digital Asset Management (DAM)
Intro to Digital Asset Management (DAM)Intro to Digital Asset Management (DAM)
Intro to Digital Asset Management (DAM)
 
SANDOW: Universal Type Server Implementation Case Study
SANDOW: Universal Type Server Implementation Case StudySANDOW: Universal Type Server Implementation Case Study
SANDOW: Universal Type Server Implementation Case Study
 
DAM Case Study
DAM Case StudyDAM Case Study
DAM Case Study
 
Future Trends in Font Management
Future Trends in Font ManagementFuture Trends in Font Management
Future Trends in Font Management
 
Artificial Intelligence & DAM: The New Metadata Workhorse with Clarifai
Artificial Intelligence & DAM: The New Metadata Workhorse with ClarifaiArtificial Intelligence & DAM: The New Metadata Workhorse with Clarifai
Artificial Intelligence & DAM: The New Metadata Workhorse with Clarifai
 
Fonts, Images, Licenses and Intellectual Property Law
Fonts, Images, Licenses and Intellectual Property LawFonts, Images, Licenses and Intellectual Property Law
Fonts, Images, Licenses and Intellectual Property Law
 
Using DAM to improve your productivity
Using DAM to improve your productivityUsing DAM to improve your productivity
Using DAM to improve your productivity
 
Webcast: Making File Metadata Work
Webcast: Making File Metadata WorkWebcast: Making File Metadata Work
Webcast: Making File Metadata Work
 
Webcast: Getting Started With DAM
Webcast: Getting Started With DAMWebcast: Getting Started With DAM
Webcast: Getting Started With DAM
 
Font Trends Survey REport
Font Trends Survey REportFont Trends Survey REport
Font Trends Survey REport
 
Vjoon K4 Overview at the NYC Fonts in Publishing Seminar
Vjoon K4 Overview at the NYC Fonts in Publishing SeminarVjoon K4 Overview at the NYC Fonts in Publishing Seminar
Vjoon K4 Overview at the NYC Fonts in Publishing Seminar
 
FontLink - Serving Fonts in your Adobe InDesign Server Workflow
FontLink - Serving Fonts in your Adobe InDesign Server WorkflowFontLink - Serving Fonts in your Adobe InDesign Server Workflow
FontLink - Serving Fonts in your Adobe InDesign Server Workflow
 
Fonts in Publishing - What's the issue?
Fonts in Publishing - What's the issue?Fonts in Publishing - What's the issue?
Fonts in Publishing - What's the issue?
 
Your web font is crap - webvisions pdx 2014
Your web font is crap - webvisions pdx 2014Your web font is crap - webvisions pdx 2014
Your web font is crap - webvisions pdx 2014
 
The State of Fonts & Font Management - Chicago IDUG
The State of Fonts & Font Management - Chicago IDUGThe State of Fonts & Font Management - Chicago IDUG
The State of Fonts & Font Management - Chicago IDUG
 
Fonts, Licenses and Intellectual Property Law - Chicago Font Symposium
Fonts, Licenses and Intellectual Property Law - Chicago Font SymposiumFonts, Licenses and Intellectual Property Law - Chicago Font Symposium
Fonts, Licenses and Intellectual Property Law - Chicago Font Symposium
 
Chicago Font Symposium - The Evolution of Font Management
Chicago Font Symposium - The Evolution of Font ManagementChicago Font Symposium - The Evolution of Font Management
Chicago Font Symposium - The Evolution of Font Management
 

Último

🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘RTylerCroy
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Drew Madelung
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Paola De la Torre
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsMaria Levchenko
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEarley Information Science
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxMalak Abu Hammad
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024The Digital Insurer
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slidespraypatel2
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...apidays
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Scriptwesley chun
 

Último (20)

🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slides
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 

Yale University: Digital Asset Collections and Course Materials

  • 1. Digital Asset Collections and Course Materials: Yale University Pam Patterson Senior Instructional Technologist, Yale University Cindy Valladares Product Marketing Manager, Extensis AGENDA:   Yale Case Study   DAM Best Practices   Q&A
  • 2. Digital Asset Collections and Course Materials: Yale University Pam Patterson Senior Instructional Technologist Instructional Technology Group Academic Media and Technology Yale University
  • 3. Yale Instructional Technology Group ITG’s Mission My Role – Project Lead   Faculty of Arts and Sciences   DAM & digital media creation   Help with technology   Classroom presentations   Exceed expectations   Website, Blogs, Wikis   R&D emerging technologies   Intern program 3
  • 4. Yale and ITG Stats Yale   78 major areas of study   Approx 5200 students   Approx 1100 faculty ITG   3 instructional technologists   1 instructional designer   1 web developer   12 student interns 4
  • 5. ITG Portfolio Stats   50 served and active catalogs   100s to 10,000s of assets   50 faculty & 19 staff licenses   2 servers running PS 8.5 and NP 8.5   12 active NetPublish sites 5
  • 6. Addressing Personal Collection Needs Before DAM   Collections on faculty machines   File name collisions   Nested folder structures   Hard to find assets   Unable to share assets 6
  • 7. Addressing Personal Collection Needs Challenges   Identify and organize assets   Changing file structures   Multiple metadata authors   Multiple file formats and file sizes   Varied client web output needs   Novice technical users 7
  • 8. Requirements for DAM Solution   Shared catalogs   Multiple editors   Dynamic web output   Extensible metadata   Visual catalogs   Custom views and fields   Import and export large datasets   Galleries and subsets 8
  • 9. Extensis Solution: Implementation   2 Windows boxes   Partnership with Library and Visual Resource Collection   Photography Services and Clip Capture   Standardized file naming convention   Interns to organize and convert digital assets   Training provided 9
  • 10. Results and Benefits   Faculty fully leverages all digital assets   Students: review materials dynamically   Partnership with library: -  Consistent metadata structures -  Content specialists 10
  • 11. Workflow: From Personal Photography to Database 11
  • 13. Workflow: From Slides to Website 13
  • 18. Next Steps   Leverage XMP with Adobe   Script exporting of data   Build customized NP templates   Standardize fields for catalog templates   GPS units for traveling faculty 18
  • 19. DIGITAL ASSET MANAGEMENT BEST PRACTICES Cindy Valladares Product Marketing Manager, Extensis
  • 20. What is DAM? Tasks and Decisions About your Assets:   Ingesting   Annotating   Cataloguing   Storing   Retrieving   Reduce Time & Costs   Maximize ROI   Faster Services & Products   Streamline Compliance 20
  • 21. DAM Market   SMB DAMs   Enterprise DAMs 21
  • 22. DAM Market   SMB DAMs   Enterprise DAMs   (Cataloguers) 22
  • 23. DAM Market   SMB DAMs   Enterprise DAMs   (Cataloguers)   Hosted DAMs   Platform DAMs 23
  • 24. DAM Best Practices   Involve Main Stakeholders   Understand your Now   Define your Future Workflow   Schema, Taxonomy, Folksonomy and Metadata   Organize Assets   Archive and Back Up   Asset Distribution 24
  • 25. Involve Main Stakeholders   Part of the Solution (Not the Problem)   Share Logic for Managing Assets   Gather Data on Existing Processes   Listen to Pains/Problems/Bottlenecks   Address Business Issues 25
  • 26. Understand Your Now   Current Business Processes   Existing Organizational Structure   Hardware/Software Infrastructure   Identify Your Pain Points   Consensus on What to Improve 26
  • 27. Define Your Future Workflow   Set Up Goals   Identify Tasks   Create Role-Based Responsibilities   Assign Roles to Individuals   Define your Desired Workflow 27
  • 28. Schema, Taxonomy, Folksonomy, Metadata   Be Practical and Consistent   Schema: Framework or Structure (List of Fields)   Crucial Info   Nice to Have   Can Live Without   Taxonomy: Controlled Vocabulary   Folksonomy: Collaborative Method   Metadata: Data About Your Data 28
  • 29. Organizing Your Assets   Catalogs   Folder Structure and Hierarchies   Naming Convention   Be aware of cross-platform consideration   Spaces or underscores?   Dates simple and consistent   Rename files – avoid same file name in different folders 29
  • 30. Archive and Back Up   Archive to Server   Back-Up Files   Invaluable in terms of recovering files accidentally lost   Get them out of the building 30
  • 31. Asset Distribution   Multiple Audiences   Controlled Distribution   Self-Service Portal   Ability to Easily Make Asset Request http://bigshoe.extensis.com http://medic.extensis.com http://widgets.extensis.com 31
  • 32. Additional Resources   Portfolio Server Live & On-Demand Webcasts http://www.extensis.com/webcasts   DAM Best Practices Guide http://www.extensis.com/dambpg 32