16
Recommendations for Geospatial Metadata Standards for Digital Collections

Mwdl geospatial metadata_recommendations

Embed Size (px)

DESCRIPTION

The powerpoint of my presentation

Citation preview

Page 1: Mwdl geospatial metadata_recommendations

Recommendations for Geospatial Metadata Standards

for Digital Collections

Page 2: Mwdl geospatial metadata_recommendations

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.

Page 3: Mwdl geospatial metadata_recommendations

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

Page 4: Mwdl geospatial metadata_recommendations

• 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?

So What?

Page 5: Mwdl geospatial metadata_recommendations

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.

Page 6: Mwdl geospatial metadata_recommendations

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

Page 7: Mwdl geospatial metadata_recommendations

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!

Page 8: Mwdl geospatial metadata_recommendations

Table 1

Coll. No.

Digital Collection Partner No. of Records in Collection

CONTENTdm Geospatial Field(s) -- Label(s)

No. of Distinct Values for Spatial Field

1 American Westward Migration 

University of Utah - J. Willard Marriott Library

62 Latitude; Place Names 37

2 Barry Maxfield Railroad Photographs 

Utah Valley University Library

252 Coverage-Spatial 64

3 Bear River Watershed Historical Collection  

Utah State University - Merrill-Cazier Library

772 Location; Geographic data 85

4 Civilian Conservation Corps in Utah

 

Utah State Historical Society

1455 Geopolitical place 92

5 Design Workshop Landscape Architecture Archive 

Utah State University - Merrill-Cazier Library

303 Geographic Location 

4

• Collections which map to the spatial refinement of coverage: 50

• Total Collection Records: 103,971

• Avg. No. of Distinct Values for Spatial Field: 52.6

• Almost all the collections contained spatial terms involving state, county, populated place and feature

Page 9: Mwdl geospatial metadata_recommendations

Table 2

• 50 out of 297 collections map to the spatial refinement of coverage.

• 170 out of the 297 (not including collections mapping to coverage spatial refinement), contain spatial term or reference in the subject or coverage field.

Collection Partner Subject Coverage Spatial Coverage

Adams, R. D.

Southern Utah University - Sherratt Library

Yes No No

Albert Tissandier Collection

University of Utah - Utah Museum of Fine Arts

No No No

Alta (UT) Avalanche Study Center

University of Utah - J. Willard Marriott Library

No Yes Yes

American Travelers in Italy

Brigham Young University - Harold B. Lee Library

Yes No No

Page 10: Mwdl geospatial metadata_recommendations

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.

Page 11: Mwdl geospatial metadata_recommendations

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

Page 12: Mwdl geospatial metadata_recommendations

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

Page 13: Mwdl geospatial metadata_recommendations

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.

Page 14: Mwdl geospatial metadata_recommendations

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.

Page 15: Mwdl geospatial metadata_recommendations

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.

Page 16: Mwdl geospatial metadata_recommendations

Questions welcome!

• Sandra McIntyreProgram DirectorMountain West Digital [email protected]

• Dorotea Szkolar 2012 Mountain West Digital Library Intern Email: [email protected] Twitter: @doroteaszkolar LinkedIn: www.linkedin.com/in/doroteaszkolar