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Harvard will work in 2 areas:

Linked Data for Library Cartographic Materials

Overview

This sub-project of the Linked Data for Libraries/Production will explore best practices for creating native Linked Data descriptions for library cartographic resources including printed maps, atlases, digital geospatial datasets, and other cartographic information resources. The project will evaluate BIBFRAME’s effectiveness as a data model for describing cartographic materials for research needs and will compare BIBFRAME’s effectiveness versus other available Linked Data descriptive schemas. In addition the group will evaluate the thesauri and controlled vocabularies associated with the description of cartographic resources to identify those vocabularies best suited to describe cartographic resources in a linked data environment. The group’s deliverables will include: a BIBFRAME profile for cartographic resources; a set of published BIBFRAME descriptions for a variety of cartographic resource types; a written evaluation of the project and set of recommendations for future research and development; and presentation of project findings to appropriate library cartographic materials and linked data communities.

Objectives

  •  Identify library cartographic resources metadata: use cases, user stories, research needs

  •  Evaluate the existing BF schema for suitability for describing cartographic resources

  •  Evaluate other available LOD vocabularies for describing properties of cartographic resources

  •  Develop and document a BF profile for the description of cartographic resources

  •  Inform the development of metadata production tools to ensure compatibility for describing cartographic resources

  •  Catalog and convert a representative selection of cartographic resources using the developed BF profile (rare materials to born-digital, varying languages) and contribute descriptions to project triple store

  •  Evaluate results of project and share set of recommendations for further research and development

  •  Engage with cartographic resources community to develop BF best practices for description of cartographic resources 

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