Data Import Specialist

Company: Stanford University
Location: Palo Alto
Posted on: November 1, 2024

Job Description:

Stanford Libraries is seeking a full-time Data Import Specialist to join the Metadata Services E-Resources Unit. The Libraries values are rooted in a commitment of mutual respect, the idea that every member of the staff has something to contribute, and that learning is constant. We seek a team member who is ready to share their skills and perspectives. This position is eligible for a hybrid work schedule.About Stanford Libraries:Stanford Libraries is a network of over 15 libraries with over 400 employees. We are committed to fueling the teaching, learning, and research across Stanford by acquiring, stewarding, and making available a robust collection, currently in excess of 12 million items. Everyone in the organization plays a vital role in fulfilling that objective.About Metadata Services:Metadata Services creates, enhances, remediates, and transforms descriptive and discovery metadata in multiple schemas to provide discovery and access to library resources in SearchWorks (our Blacklight implementation) and the Stanford Digital Repository.About the Position:The Data Import Specialist will be responsible for the loading and remediation of vendor-supplied bibliographic records for electronic resources into FOLIO. The Specialist will collaborate with other E-Resources staff in identifying issues in batch loading and determining and creating workarounds, reporting needs, and gaps in functionality.Core Duties:

• Perform tracking, loading, and remediation of vendor-supplied records through FOLIO, especially e-resources.
• Participate in testing of FOLIO Data Import, including developing and testing new workflows, versions, and documentation.
• Participate in developing and testing automation scripts for batch loads.
• Communicate internally with Stanford Libraries units and collaborate with partners across the Stanford Libraries.MINIMUM REQUIREMENTSEducation and Experience: - Bachelor's degree plus three or more years of experience in an academic library, or equivalent combination of education and relevant experience.Minimum Knowledge, Skills and Abilities:
  • Ability to work with a variety of e-resource content and languages.
  • Basic experience with, or ability to quickly learn, MarcEdit, XSLT and/or scripting languages (e.g., Perl, Python).
  • Experience using or ability to learn one or more library automated systems; experience with FOLIO preferred.
  • Excellent analytic and problem-solving skills.
  • Ability to work effectively in a dynamic, production-oriented environment and adapt quickly to meet deadlines.
  • Demonstrated ability to maintain consistent accuracy and attention to detail.
  • Good keyboarding skills and physical tolerance for at least six hours per day of keying.
  • Ability to communicate effectively in English, both orally and in writing.
  • Ability to process materials in various foreign languages and subjects.
  • Demonstrated experience with cataloging according to standards such as: AACR2, RDA, MARC21.
  • Demonstrated ability to effectively search OCLC.
  • Ability to work with a variety of non-MARC metadata formats.
  • Ability to follow and apply content rules for creating metadata records.
  • Demonstrated computer proficiency with word processing, spreadsheets, and communication software.
  • Record of excellent attendance.Physical Requirements:
    • Ability to push a cart weighing up to 650 lbs.
    • Ability to work in an environment that is dusty and/or moldy.
    • Ability to lift books that are up to 10 pounds.
    • Ability to kneel and reach.
    • Must be able to stand for many hours.Working Conditions: - May work in confined spaces and at heights of 4-10 feet; be exposed to dust and mold; work extended hours, evenings, and weekends.Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.
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Keywords: Stanford University, Pleasanton , Data Import Specialist, Other , Palo Alto, California