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Hitting the Road towards a Greater Digital
Destination: Evaluating and Testing DAMS
at the University of Houston Libraries
Annie Wu, Rachel Vacek, Santi Thompson,
Andy Weidner, Sean Watkins, Valerie Prilop
Texas Conference on Digital Libraries | Austin, TX | April 27, 2015
Overview
Background and Methodology
Evaluation and Results
Insights
Next Steps
2
Background and Methodology
3
...with Annie
UH Digital Library
●  Launched in 2009
●  64 collections
●  60,000+ digital
objects
●  Images, text,
audio, video
●  CONTENTdm with a
custom user interface
4
http://digital.lib.uh.edu/
DAMS Evaluation - Rationale
●  CONTENTdm allowed us to build an initial
digital library
●  We needed a more robust DAMS for new
digital initiatives
○  Is more flexible, scalable, interoperable
○  Manages larger amount of data in a variety of formats
○  Accommodates creative workflows
○  Allows for configuration of additional functionalities
○  Supports and enables linked data
5
UH Libraries Strategic Directions
“...work assiduously to
expand our unique and
comprehensive collections
that support curricula and
spotlight research. We will
pursue seamless access
and expand digital
collections to increase
national recognition.”
http://info.lib.uh.edu/p/strategic-directions 6
DAMS Implementation Task Force
7
http://www.socialearth.org
The Team
Special
Collections
Digital Projects
Librarian
(Valerie Prilop)
Digital
Repository
Services
Web Services
Metadata &
Digitization
Services
Head of
Metadata &
Digitization
Services
(Annie Wu)
Metadata
Services
Coordinator
(Andy Weidner)
Co-Chair
Head of
Web
Services
(Rachel Vacek)
Head of Digital
Repository
Services
(Santi Thompson)
Web Projects
Manager
(Sean Watkins)
Co-Chair
8
The Charge
●  Perform a needs assessment and build criteria and
policies based on evaluation of the current system and
requirements for the new DAMS
●  Research and explore DAMS on the market and identify
the top 2-3 systems for beta testing in a development
environment
●  Generate preliminary recommendations from
stakeholders' comments and feedback
●  Coordinate installation of the new DAMS and finish data
migration
●  Communicate the task force work to UH colleagues
   9
Methodology
●  Needs assessment
●  Broad evaluation
o  Evaluate 12 systems using broad criteria
●  Detailed evaluation
o  Install systems for testing environment
o  Evaluate top 2 systems from previous evaluation
using detailed criteria
●  Data analysis and recommendation
10
Needs Assessment - Goal
●  Collect key
requirements of
stakeholders
●  Identify future
features of the new
DAMS
●  Gather data in order
to craft criteria for
evaluation
http://sublimestudies.com
11
Needs Assessment - Activities
●  Internal focus group interviews
●  Reviewed scholarly literature on DAMS evaluation and
migration
●  Researched peer/aspirational institutions
●  Reviewed national standards around DAMS
●  Identified materials and users
●  Determined both the current use of the DL as well as its
projected use of the DL
12
Evaluation and Results
13
...with Sean
Broad Evaluation
Building the criteria:
●  Focus group interviews
●  Literature reviews
●  DAMS best practices
Organizing the criteria:
●  Covered 4 topics
o  System Function
o  Content Acquisition / Management
o  Metadata
o  User Interface and Search Support
14
Broad Evaluation Results
Scoring:
●  Scores were determined by reviewing supporting
documentation, marketing information, or talks with
venders
●  0 - Does not support criteria
●  1 - Supports criteria
●  Scores where totaled up and top 2 systems were
evaluated for the final round
15
16
DAMS Evaluation Score Possible Score
Fedora 27 29
Fedora / Hydra 26 29
Fedora / Islandora 26 29
Collective Access 24 29
DSpace 24 29
CONTENTdm 20 29
Rosetta 20 29
Trinity (iBase) 19 29
Preservica 16 29
Luna Imaging 15 29
RODA 6 29
Invenio 5 29
Score of 12 DAMS from testing
using Broad Evaluation Criteria
Detailed Evaluation
●  Detailed criteria drawn from the same sources
used previously
●  Looked at specific features for DAMS
●  Criteria was divided into eight testing sections
o  System Environment and Testing
o  Administrative Access
o  Content Ingest and Management
o  Metadata
o  Content Access
o  Discoverability
o  Report and Inquiry Capabilities
o  System Support
17
System Setup
●  Virtual servers were set up for each system
●  Latest stable versions were chosen (no betas)
and installed
●  All supporting server software was installed
●  Additional software to support the evaluation
testing was installed and set up
18
Gathering Collections for testing
●  Wide variety of item formats currently available
●  Variety of item formats for future projects
●  Large collections
●  Included items with bad metadata, wrong
formats, and corrupted data
19
Detailed Evaluation Results
Scoring:
●  Each system was tested with the same set of collection
items
●  Ranged score 0 - 3 (0 failed - 3 fully supported)
●  Yes / No criteria was scored 0 or 3
●  System documentation was still used in some scoring
20
21
Score of top 2 DAMS from testing
using Detailed Evaluation Criteria
Testing Sections
DSpace
Score
Fedora
Score
Possible
Score
System Environment and Testing 21 21 36
Administrative Access 15 12 18
Content Ingest and Management 59 96 123
Metadata 32 43 51
Content Access 14 18 18
Discoverability 46 84 114
Report and Inquiry Capabilities 6 15 21
System Support 12 11 12
TOTAL SCORE: 205 300 393
Top 2 System Evaluation Results
●  Scores were tallied to show top ranked system
●  Systems summarized into advantages and
disadvantages
●  Recommendation was compiled and written
into the final report
22
Fedora/Hydra - Advantages and
Disadvantages
23
Advantages Disadvantages
Open source Steep learning curve
Large development community Long setup time
Linked Data ready Requires additional tools for
discovery
Modular design through API No standard model for multi-file
objects
Scalable, sustainable, and
extensible
Batch import / export of metadata
Handles any file format
DSpace - Advantages and
Disadvantages
24
Advantages Disadvantages
Open source Flat file and metadata structure
Easy installation / turnkey system Limited reporting capabilities
Existing familiarity through TDL Limited metadata features
User group / profile controls Does not support Linked Data
Metadata quality module Limited API
Batch import of objects Not scalable or extensible
Poor user interface
Insights
25
...with Rachel
Project Management
●  Initial planning
●  Tools
●  Flexibility
●  Meetings
●  Food
●  Milestones
26
http://infospace.ischool.syr.edu/files/2014/04/Project-Management.jpg
Committee
●  Size
●  Representation
●  Shared
understanding
●  Diverse skillsets
27
http://www.uniquelyhis.net/wp-content/uploads/puzzle-pieces.jpg
Time
●  Manage expectations
●  Balance
●  Intensive
research
28
http://img.timeinc.net/time/2007/eating/makes_eat/makes_eat_time.jpg
Communication
●  Administration
●  Key stakeholders
●  Entire library
●  Other libraries
29
http://dineability.com/wp-content/uploads/2013/04/communication.jpg
Testing
●  Turnkey vs. framework systems
●  User interfaces
o  Local installation
o  Other institutions
30
Evaluation
●  Different criteria sets
●  Consistency
●  Vetting process
●  Awareness of possibilities
31
Next Steps
32
...with Andy
Next Steps
●  Phase 1: Systems Installation
●  Phase 2: Data Migration
●  Phase 3: Interface Development
●  Assessment, Documentation and Training
33
Phase 1: Systems Installation
●  Development environment
●  Rewrite DL front-end for Fedora/Solr
●  Data models
●  Digital preservation workflow
●  Hydra content management application
34
Phase 2: Data Migration
●  Content migration strategy
●  Migrate test collections
●  Data migration
●  Continued Hydra development
35
http://southsidepride.com/wp-content/uploads/2014/01/Migrating-birds.jpg
Phase 3: Interface Development
●  Re-evaluate user interface
o  Conduct user testing
o  Re-write DL front-end in Hydra OR …
o  Update current PHP front-end
●  Inter-departmental production workflows
●  Refine Hydra content management application
36
Assessment, Documentation, and
Training
●  Assess service impact
●  User testing
●  System enhancements
●  New workflows
●  Create and maintain documentation
●  Get training
o  Conferences, webinars, workshops, etc.
37
Thank you!
Annie Wu, Head of Metadata & Digitization Services, awu@uh.edu
Rachel Vacek, Head of Web Services, revacek@uh.edu
Santi Thompson, Head of Digital Repository Services
Andy Weidner, Metadata Services Coordinator
Sean Watkins, Web Projects Manager
Valerie Prilop, former Digital Projects Librarian
Slides at: http://bit.ly/tcdl-2015
38

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Hitting the Road towards a Greater Digital Destination: Evaluating and Testing DAMS at the University of Houston Libraries

  • 1. Hitting the Road towards a Greater Digital Destination: Evaluating and Testing DAMS at the University of Houston Libraries Annie Wu, Rachel Vacek, Santi Thompson, Andy Weidner, Sean Watkins, Valerie Prilop Texas Conference on Digital Libraries | Austin, TX | April 27, 2015
  • 2. Overview Background and Methodology Evaluation and Results Insights Next Steps 2
  • 4. UH Digital Library ●  Launched in 2009 ●  64 collections ●  60,000+ digital objects ●  Images, text, audio, video ●  CONTENTdm with a custom user interface 4 http://digital.lib.uh.edu/
  • 5. DAMS Evaluation - Rationale ●  CONTENTdm allowed us to build an initial digital library ●  We needed a more robust DAMS for new digital initiatives ○  Is more flexible, scalable, interoperable ○  Manages larger amount of data in a variety of formats ○  Accommodates creative workflows ○  Allows for configuration of additional functionalities ○  Supports and enables linked data 5
  • 6. UH Libraries Strategic Directions “...work assiduously to expand our unique and comprehensive collections that support curricula and spotlight research. We will pursue seamless access and expand digital collections to increase national recognition.” http://info.lib.uh.edu/p/strategic-directions 6
  • 7. DAMS Implementation Task Force 7 http://www.socialearth.org
  • 8. The Team Special Collections Digital Projects Librarian (Valerie Prilop) Digital Repository Services Web Services Metadata & Digitization Services Head of Metadata & Digitization Services (Annie Wu) Metadata Services Coordinator (Andy Weidner) Co-Chair Head of Web Services (Rachel Vacek) Head of Digital Repository Services (Santi Thompson) Web Projects Manager (Sean Watkins) Co-Chair 8
  • 9. The Charge ●  Perform a needs assessment and build criteria and policies based on evaluation of the current system and requirements for the new DAMS ●  Research and explore DAMS on the market and identify the top 2-3 systems for beta testing in a development environment ●  Generate preliminary recommendations from stakeholders' comments and feedback ●  Coordinate installation of the new DAMS and finish data migration ●  Communicate the task force work to UH colleagues   9
  • 10. Methodology ●  Needs assessment ●  Broad evaluation o  Evaluate 12 systems using broad criteria ●  Detailed evaluation o  Install systems for testing environment o  Evaluate top 2 systems from previous evaluation using detailed criteria ●  Data analysis and recommendation 10
  • 11. Needs Assessment - Goal ●  Collect key requirements of stakeholders ●  Identify future features of the new DAMS ●  Gather data in order to craft criteria for evaluation http://sublimestudies.com 11
  • 12. Needs Assessment - Activities ●  Internal focus group interviews ●  Reviewed scholarly literature on DAMS evaluation and migration ●  Researched peer/aspirational institutions ●  Reviewed national standards around DAMS ●  Identified materials and users ●  Determined both the current use of the DL as well as its projected use of the DL 12
  • 14. Broad Evaluation Building the criteria: ●  Focus group interviews ●  Literature reviews ●  DAMS best practices Organizing the criteria: ●  Covered 4 topics o  System Function o  Content Acquisition / Management o  Metadata o  User Interface and Search Support 14
  • 15. Broad Evaluation Results Scoring: ●  Scores were determined by reviewing supporting documentation, marketing information, or talks with venders ●  0 - Does not support criteria ●  1 - Supports criteria ●  Scores where totaled up and top 2 systems were evaluated for the final round 15
  • 16. 16 DAMS Evaluation Score Possible Score Fedora 27 29 Fedora / Hydra 26 29 Fedora / Islandora 26 29 Collective Access 24 29 DSpace 24 29 CONTENTdm 20 29 Rosetta 20 29 Trinity (iBase) 19 29 Preservica 16 29 Luna Imaging 15 29 RODA 6 29 Invenio 5 29 Score of 12 DAMS from testing using Broad Evaluation Criteria
  • 17. Detailed Evaluation ●  Detailed criteria drawn from the same sources used previously ●  Looked at specific features for DAMS ●  Criteria was divided into eight testing sections o  System Environment and Testing o  Administrative Access o  Content Ingest and Management o  Metadata o  Content Access o  Discoverability o  Report and Inquiry Capabilities o  System Support 17
  • 18. System Setup ●  Virtual servers were set up for each system ●  Latest stable versions were chosen (no betas) and installed ●  All supporting server software was installed ●  Additional software to support the evaluation testing was installed and set up 18
  • 19. Gathering Collections for testing ●  Wide variety of item formats currently available ●  Variety of item formats for future projects ●  Large collections ●  Included items with bad metadata, wrong formats, and corrupted data 19
  • 20. Detailed Evaluation Results Scoring: ●  Each system was tested with the same set of collection items ●  Ranged score 0 - 3 (0 failed - 3 fully supported) ●  Yes / No criteria was scored 0 or 3 ●  System documentation was still used in some scoring 20
  • 21. 21 Score of top 2 DAMS from testing using Detailed Evaluation Criteria Testing Sections DSpace Score Fedora Score Possible Score System Environment and Testing 21 21 36 Administrative Access 15 12 18 Content Ingest and Management 59 96 123 Metadata 32 43 51 Content Access 14 18 18 Discoverability 46 84 114 Report and Inquiry Capabilities 6 15 21 System Support 12 11 12 TOTAL SCORE: 205 300 393
  • 22. Top 2 System Evaluation Results ●  Scores were tallied to show top ranked system ●  Systems summarized into advantages and disadvantages ●  Recommendation was compiled and written into the final report 22
  • 23. Fedora/Hydra - Advantages and Disadvantages 23 Advantages Disadvantages Open source Steep learning curve Large development community Long setup time Linked Data ready Requires additional tools for discovery Modular design through API No standard model for multi-file objects Scalable, sustainable, and extensible Batch import / export of metadata Handles any file format
  • 24. DSpace - Advantages and Disadvantages 24 Advantages Disadvantages Open source Flat file and metadata structure Easy installation / turnkey system Limited reporting capabilities Existing familiarity through TDL Limited metadata features User group / profile controls Does not support Linked Data Metadata quality module Limited API Batch import of objects Not scalable or extensible Poor user interface
  • 26. Project Management ●  Initial planning ●  Tools ●  Flexibility ●  Meetings ●  Food ●  Milestones 26 http://infospace.ischool.syr.edu/files/2014/04/Project-Management.jpg
  • 27. Committee ●  Size ●  Representation ●  Shared understanding ●  Diverse skillsets 27 http://www.uniquelyhis.net/wp-content/uploads/puzzle-pieces.jpg
  • 28. Time ●  Manage expectations ●  Balance ●  Intensive research 28 http://img.timeinc.net/time/2007/eating/makes_eat/makes_eat_time.jpg
  • 29. Communication ●  Administration ●  Key stakeholders ●  Entire library ●  Other libraries 29 http://dineability.com/wp-content/uploads/2013/04/communication.jpg
  • 30. Testing ●  Turnkey vs. framework systems ●  User interfaces o  Local installation o  Other institutions 30
  • 31. Evaluation ●  Different criteria sets ●  Consistency ●  Vetting process ●  Awareness of possibilities 31
  • 33. Next Steps ●  Phase 1: Systems Installation ●  Phase 2: Data Migration ●  Phase 3: Interface Development ●  Assessment, Documentation and Training 33
  • 34. Phase 1: Systems Installation ●  Development environment ●  Rewrite DL front-end for Fedora/Solr ●  Data models ●  Digital preservation workflow ●  Hydra content management application 34
  • 35. Phase 2: Data Migration ●  Content migration strategy ●  Migrate test collections ●  Data migration ●  Continued Hydra development 35 http://southsidepride.com/wp-content/uploads/2014/01/Migrating-birds.jpg
  • 36. Phase 3: Interface Development ●  Re-evaluate user interface o  Conduct user testing o  Re-write DL front-end in Hydra OR … o  Update current PHP front-end ●  Inter-departmental production workflows ●  Refine Hydra content management application 36
  • 37. Assessment, Documentation, and Training ●  Assess service impact ●  User testing ●  System enhancements ●  New workflows ●  Create and maintain documentation ●  Get training o  Conferences, webinars, workshops, etc. 37
  • 38. Thank you! Annie Wu, Head of Metadata & Digitization Services, awu@uh.edu Rachel Vacek, Head of Web Services, revacek@uh.edu Santi Thompson, Head of Digital Repository Services Andy Weidner, Metadata Services Coordinator Sean Watkins, Web Projects Manager Valerie Prilop, former Digital Projects Librarian Slides at: http://bit.ly/tcdl-2015 38