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Recommendations for Geospatial
 Metadata Standards for Digital
          Collections
Introduction


• Hello, I’m Dorotea Szkolar!
  – M.L.I.S. Candidate at Syracuse University.
  – Specializing in Digital Libraries.
  – Professional background in museums and
    research.
  – Internship focus on geo-spatial metadata
    interoperability.
Purpose


• Introduce Geospatial Metadata
  – Importance/GIS Technology/ Map Interfaces
  – Benefit to MWDL and Its Partners
• Overview Analysis
  – Highlight Specific Interoperability Issues
• Overview Recommendations
  – Short Term
  – Long Term
So What?

• So What? Who Cares
  About Geospatial
  Metadata!?
  – Maps are lame and old
    news!
  – What does it matter
    having standards for
    spatial metadata?
  – Why make it the focus
    of my internship?
Geospatial Revolution

• Geospatial Information and Map
  Interfaces are the next big things!
   – Geospatial Revolution.
   – Maps visualize information and
     patterns in ways text cannot
     achieve.
   – Several Digital Libraries
     achieving exciting results on
     this forefront.
   – Great opportunities for
     collaboration and
     advancement.
Example

• The World Digital Library
   – Sleek Map Interface to Showcase Digital
     Collections of Partners From Around the World
   – http://www.wdl.org/en/
• Map of State of the Internet
   – http://www.akamai.com/stateoftheinternet/
• Tweets of the words “beer” and “church” by
  U.S. county
  – http://io9.com/5923723/tweets-of-the-words-beer-
    and-church-by-us-county
Other Examples

• MWDL could visualize
  partners collections and
  information in new
  exciting ways.
• But in order to achieve
  that, need to resolve
  geo-spatial metadata
  interoperability issues!
Table 1

Coll.   Digital Collection   Partner                   No. of       CONTENTdm                   No. of
No.                                                    Records in   Geospatial Field(s) --      Distinct
                                                       Collection   Label(s)                    Values for
                                                                                                Spatial
                                                                                                Field        •   Collections which map
                                                                                                                 to the spatial
1       American             University of Utah - J.   62           Latitude; Place Names       37
        Westward             Willard Marriott                                                                    refinement of
        Migration            Library                                                                             coverage: 50
2       Barry Maxfield       Utah Valley               252          Coverage-Spatial            64
                                                                                                             •   Total Collection
        Railroad             University Library                                                                  Records: 103,971
        Photographs
                                                                                                             •   Avg. No. of Distinct
3       Bear River           Utah State University     772          Location; Geographic data   85               Values for Spatial Field:
        Watershed            - Merrill-Cazier                                                                    52.6
        Historical           Library
        Collection                                                                                           •   Almost all the
                                                                                                                 collections contained
4           Civilian
          Conservation
                             Utah State Historical
                             Society
                                                       1455         Geopolitical place          92
                                                                                                                 spatial terms involving
          Corps in Utah                                                                                          state, county,
                                                                    Geographic Location
                                                                                                                 populated place and
5       Design Workshop      Utah State University     303                                      4
        Landscape            - Merrill-Cazier                                                                    feature
        Architecture         Library
        Archive
Table 2
Collection   Partner      Subject   Coverage   Spatial
                                               Coverage
Adams, R.    Southern     Yes       No         No
D.           Utah
             University
             - Sherratt                                   • 50 out of 297 collections
Albert
             Library
             University   No        No         No
                                                            map to the spatial
Tissandier   of Utah -                                      refinement of coverage.
Collection   Utah
             Museum                                       • 170 out of the 297 (not
             of Fine
             Arts
                                                            including collections
Alta (UT)    University   No        Yes        Yes          mapping to coverage spatial
                                                            refinement), contain spatial
Avalanche    of Utah -
Study        J. Willard
Center       Marriott                                       term or reference in the
             Library
                                                            subject or coverage field.
American     Brigham      Yes       No         No
Travelers in Young
Italy        University
             - Harold
             B. Lee
             Library
Analysis Highlights


• Total of 50 collections use spatial
  refinement of Dublin core
  (dcterms:spatial).
• On average 53 distinct values or terms
  utilized in each collection = wide variation.
• 2/3 of collections contain spatial
  information somewhere in metadata =
  starting point to improve.
Map Interface
                                   Examples and Issues
• Inconsistent formatting and
  vocabularies resulted in:
   – Semantic based errors
   – Interoperability issues
   – Display difficulties in map
      initiatives.
   – Skewed map density or
      items not properly
      displaying on the map.
• Country: Britain Vs. England
  Vs. United Kingdom
• State: Utah County Vs. Utah
  State
• City: Salt Lake City Vs. Salt
  Lake County
Summary of Issues and
                         Missed Opportunities

• Reduced success of search.
• Interoperability issues worsen as
  additional geographic regions are
  incorporated.
• Map initiative display difficulties.
• Collaboration difficulties- DPLA
• Historic Names vs. Current Political Name
Recommendations-
                                    Short Tern


• Mandate partners utilize spatial coverage
  refinement in future collections harvested by
  MWDL.
• Complete global search and replace of simple
  geospatial metadata with properly formatted
  spatial metadata in current collections.
• Hire a programmer to write scripts to
  automatically make assumptions when
  harvesting metadata.
Recommendations-
                                Long Term

• Select and enforce one standard for
  formatting and select controlled
  vocabularies (see report for candidates).
• Ensure standards adopted are compliant
  ISO 19115.
• Collaborate and experiment with
  interactive map interfaces and geospatial
  technologies.
Recommendations-
                                        Long Tern

• Require partners to set timeline and make
  reformatting of spatial metadata part of long
  term institutional plan.
• Fundraise and establish funds for support.
  – Allow partners to hire someone to reformat
    metadata in a timely manner.
  – Hiring additional staff for MWDL to assist with map
    interfaces and spatial based initiatives.
  – Build proper metadata infrastructure.
Questions welcome!
• Sandra McIntyre
  Program Director
  Mountain West Digital Library
  sandra.mcintyre@utah.edu
• Dorotea Szkolar
  2012 Mountain West Digital Library Intern
  Email: doroteaszkolar@gmail.com
  Twitter: @doroteaszkolar
 LinkedIn: www.linkedin.com/in/doroteaszkolar

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Mwdl geospatial metadata_recommendations

  • 1. Recommendations for Geospatial Metadata Standards for Digital Collections
  • 2. Introduction • Hello, I’m Dorotea Szkolar! – M.L.I.S. Candidate at Syracuse University. – Specializing in Digital Libraries. – Professional background in museums and research. – Internship focus on geo-spatial metadata interoperability.
  • 3. Purpose • Introduce Geospatial Metadata – Importance/GIS Technology/ Map Interfaces – Benefit to MWDL and Its Partners • Overview Analysis – Highlight Specific Interoperability Issues • Overview Recommendations – Short Term – Long Term
  • 4. So What? • So What? Who Cares About Geospatial Metadata!? – Maps are lame and old news! – What does it matter having standards for spatial metadata? – Why make it the focus of my internship?
  • 5. Geospatial Revolution • Geospatial Information and Map Interfaces are the next big things! – Geospatial Revolution. – Maps visualize information and patterns in ways text cannot achieve. – Several Digital Libraries achieving exciting results on this forefront. – Great opportunities for collaboration and advancement.
  • 6. Example • The World Digital Library – Sleek Map Interface to Showcase Digital Collections of Partners From Around the World – http://www.wdl.org/en/ • Map of State of the Internet – http://www.akamai.com/stateoftheinternet/ • Tweets of the words “beer” and “church” by U.S. county – http://io9.com/5923723/tweets-of-the-words-beer- and-church-by-us-county
  • 7. Other Examples • MWDL could visualize partners collections and information in new exciting ways. • But in order to achieve that, need to resolve geo-spatial metadata interoperability issues!
  • 8. Table 1 Coll. Digital Collection Partner No. of CONTENTdm No. of No. Records in Geospatial Field(s) -- Distinct Collection Label(s) Values for Spatial Field • Collections which map to the spatial 1 American University of Utah - J. 62 Latitude; Place Names 37 Westward Willard Marriott refinement of Migration Library coverage: 50 2 Barry Maxfield Utah Valley 252 Coverage-Spatial 64 • Total Collection Railroad University Library Records: 103,971 Photographs • Avg. No. of Distinct 3 Bear River Utah State University 772 Location; Geographic data 85 Values for Spatial Field: Watershed - Merrill-Cazier 52.6 Historical Library Collection • Almost all the collections contained 4 Civilian Conservation Utah State Historical Society 1455 Geopolitical place 92 spatial terms involving Corps in Utah state, county, Geographic Location populated place and 5 Design Workshop Utah State University 303 4 Landscape - Merrill-Cazier feature Architecture Library Archive
  • 9. Table 2 Collection Partner Subject Coverage Spatial Coverage Adams, R. Southern Yes No No D. Utah University - Sherratt • 50 out of 297 collections Albert Library University No No No map to the spatial Tissandier of Utah - refinement of coverage. Collection Utah Museum • 170 out of the 297 (not of Fine Arts including collections Alta (UT) University No Yes Yes mapping to coverage spatial refinement), contain spatial Avalanche of Utah - Study J. Willard Center Marriott term or reference in the Library subject or coverage field. American Brigham Yes No No Travelers in Young Italy University - Harold B. Lee Library
  • 10. Analysis Highlights • Total of 50 collections use spatial refinement of Dublin core (dcterms:spatial). • On average 53 distinct values or terms utilized in each collection = wide variation. • 2/3 of collections contain spatial information somewhere in metadata = starting point to improve.
  • 11. Map Interface Examples and Issues • Inconsistent formatting and vocabularies resulted in: – Semantic based errors – Interoperability issues – Display difficulties in map initiatives. – Skewed map density or items not properly displaying on the map. • Country: Britain Vs. England Vs. United Kingdom • State: Utah County Vs. Utah State • City: Salt Lake City Vs. Salt Lake County
  • 12. Summary of Issues and Missed Opportunities • Reduced success of search. • Interoperability issues worsen as additional geographic regions are incorporated. • Map initiative display difficulties. • Collaboration difficulties- DPLA • Historic Names vs. Current Political Name
  • 13. Recommendations- Short Tern • Mandate partners utilize spatial coverage refinement in future collections harvested by MWDL. • Complete global search and replace of simple geospatial metadata with properly formatted spatial metadata in current collections. • Hire a programmer to write scripts to automatically make assumptions when harvesting metadata.
  • 14. Recommendations- Long Term • Select and enforce one standard for formatting and select controlled vocabularies (see report for candidates). • Ensure standards adopted are compliant ISO 19115. • Collaborate and experiment with interactive map interfaces and geospatial technologies.
  • 15. Recommendations- Long Tern • Require partners to set timeline and make reformatting of spatial metadata part of long term institutional plan. • Fundraise and establish funds for support. – Allow partners to hire someone to reformat metadata in a timely manner. – Hiring additional staff for MWDL to assist with map interfaces and spatial based initiatives. – Build proper metadata infrastructure.
  • 16. Questions welcome! • Sandra McIntyre Program Director Mountain West Digital Library sandra.mcintyre@utah.edu • Dorotea Szkolar 2012 Mountain West Digital Library Intern Email: doroteaszkolar@gmail.com Twitter: @doroteaszkolar LinkedIn: www.linkedin.com/in/doroteaszkolar