Enhancing Descriptive Metadata Records with Freely-Available APIs Metadata

Metadata describes a digital item, providing (if known) such information as creator, publisher, contents, size, relationship to other resources, and more. Metadata may also contain "preservation" components that help us to maintain the integrity of digital files over time.

Title

  • Main Title Enhancing Descriptive Metadata Records with Freely-Available APIs

Creator

  • Author: Phillips, Mark Edward
    Creator Type: Personal
    Creator Info: University of North Texas
  • Author: Tarver, Hannah
    Creator Type: Personal
    Creator Info: University of North Texas

Publisher

  • Name: Code4Lib

Date

  • Creation: 2014-04-16

Language

  • English

Description

  • Content Description: Article on enhancing descriptive metadata records with freely-available Application Programming Interfaces (APIs).
  • Physical Description: 14 p.

Subject

  • Keyword: application programming interfaces
  • Keyword: APIs
  • Keyword: metadata
  • Keyword: digitized maps
  • Keyword: place names

Source

  • Journal: Code4Lib Journal, 2014, Code4Lib

Citation

  • Publication Title: Code4Lib
  • Issue: 24

Collection

  • Name: UNT Scholarly Works
    Code: UNTSW

Institution

  • Name: UNT Libraries
    Code: UNT

Rights

  • Rights Access: public
  • Rights License: by

Resource Type

  • Article

Format

  • Text

Identifier

  • URL: http://journal.code4lib.org/articles/9415
  • Archival Resource Key: ark:/67531/metadc284576

Degree

  • Academic Department: Digital Projects Unit

Note

  • Display Note: Abstract: This article describes how the University of North Texas (UNT) Libraries' Digital Projects Unit used simple, freely-available APIs to add place names to metadata records for over 8,000 maps in two digital collections. These textual place names enable users to easily find maps by place name and to find other maps that feature the same place, thus increasing the accessibility and usage of the collections. This project demonstrates how targeted large-scale, automated metadata enhancement can have a significant impact with a relatively small commitment of time and staff resources.