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Taxonomy and Information Architecture Specialist

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Harvard University Expired
Boston, MA, USA

Job Summary

The Information Products and Technical Services group in Harvard Business School’s Knowledge and Library Services (KLS) seeks an experienced, collaborative person to join its Information Management Team.

The Information Management Team provides expertise in information structure, content description and access, entity management, taxonomy development and ontology management to the Harvard Business School community. Reporting to the Manager of Information Management, the Taxonomy and Information Architecture Specialist is responsible for working with stakeholders and customers to develop and maintain taxonomies and other vocabularies and/or entity lists used at KLS and HBS, tagging content with relevant taxonomy terms, and contributing to the ongoing development of our local ontology. The Taxonomy and Information Architecture Specialist works closely with the IPTS Technical Team to develop and maintain instance data for our local Knowledge Graph.

Job-Specific Responsibilities

  • Taxonomy and Vocabulary development, including text analysis and user testing
  • Develops and maintains the KLS Ontology
  • Conducts authority control and entity management for HBS-related entities such as people and organizations.
  • Conducts content inventories, analysis and requirements gathering for consulting customers.
  • Produces content structure recommendations and reports for consulting customers.
  • Provides colleagues and customers with training and support in tagging and metadata management best practices.
  • Other relevant duties as assigned.
Working Relationships:

  • Reports to the Manager, Information Management
  • Collaborates closely with KLS, HBS and Harvard University (HU) customers by leading consulting projects and/or providing subject matter expertise. Customers include all levels of administrative staff and faculty.
  • Works closely with other members of the Information Management Team and the Information Products and Technical Services Group.
Basic Qualifications

  • Master’s degree in Library/Information Science, Information Management, Linguistics or other relevant discipline is required.
  • Minimum of 3 years of applicable work experience in information management, content management, entity management, taxonomy, or other metadata work is required.
Additional Qualifications and Skills

  • Demonstrated ability to translate theory and big-picture thinking into concrete goals and tasks.
  • Demonstrated ability to write process documentation and train users (individually and/or in small groups) in applying taxonomies to content.
  • Data manipulation and data visualization skills.
  • Experience working with customers to analyze content, gather requirements for accessing content, and develop vocabularies.
  • Working experience with tools such as PoolParty and Protégé for taxonomy & ontology management; working experience with Schema.org, Dublin Core, RDF, RDA, and/or BIBFRAME, and name authorities or identity management practices.
  • Working experience with SPARQL, Python, R and/or other scripting tools. Advanced Excel skills highly desirable.
  • Excellent organizational, writing, communication, and interpersonal skills; ability to work autonomously as well as within a team environment.
  • Self-motivated learner with ability to take initiative and thrive in an evolving and collaborative environment, and produce timely, high quality results.
Our expectations are that employees of HBS adhere to and represent our Community Values. They are:

  • Respect for the rights, differences, and dignity of others
  • Honesty and integrity in dealing with all members of the community
  • Accountability for personal behavior

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Employer: Harvard University (@Harvard_Careers)
Location: Boston, MA, USA
Posted Date: 25/11/2021
Expiry Date: 06/12/2021
Type: Full-Time
Categories: Librarian / Collections / Digitisation / Archivist, Metadata Management / Taxonomy / Ontology
Ref: DN-JB-619
Added by: DAM News Administrator
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