Accelerating Student Learning for Taxonomy Design Work: Rapid Onboarding Through Consultant-Internships Metadata

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Title

  • Main Title Accelerating Student Learning for Taxonomy Design Work: Rapid Onboarding Through Consultant-Internships

Creator

  • Author: Tucker, Virginia M.
    Creator Type: Personal
    Creator Info: San Jose State University

Contributor

  • Organizer of meeting: American Society for Information Science and Technology
    Contributor Type: Organization
  • Organizer of meeting: Knowledge and Information Professionals Association
    Contributor Type: Organization

Date

  • Creation: 2018-11-09

Language

  • English

Description

  • Content Description: This paper uses template analysis methodology to examine skills and competences relevant to taxonomy design work, and the soft skills that employers both demand and struggle to articulate.
  • Physical Description: 3 p.

Subject

  • Keyword: knowledge management
  • Keyword: taxonomy design work
  • Keyword: information professionals

Source

  • Conference: 14th International Conference on Knowledge Management, November 9-10, 2018. Vancouver, Canada.

Collection

  • Name: International Conference on Knowledge Management (ICKM)
    Code: ICKM17

Institution

  • Name: UNT College of Information
    Code: UNTCOI

Rights

  • Rights Access: public

Resource Type

  • Paper

Format

  • Text

Identifier

  • Archival Resource Key: ark:/67531/metadc1393836

Note

  • Display Note: Abstract: Consultant-internships are effective for rapid onboarding of higher education students into knowledge management (KM) positions, supporting them in bridging concepts and theories from their coursework into real-world information design and analysis projects. Building on a recently completed case study, this research uses template analysis methodology to examine skills and competences relevant to taxonomy design work, and the soft skills that employers both demand and struggle to articulate. This dual combination of information professional abilities is highly sought after in collaborative and virtual KM professional settings.