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      Stanford University Libraries

        E-Resources Metadata Librarian-10077871


This position has primary responsibility for loading vendor-supplied 
records for electronic resources into the library's SirsiDynix Symphony 
system. The incumbent will manage all aspects of this workflow, 
including detailed data analysis of record packages and documenting 
findings and solutions, data massaging through automated processes to 
ensure that incoming records conform to local and national standards, 
and the tracking of updates to ensure that new e-resources are 
accessible through the library's discovery system with minimal delay. 
Roughly 25% time will be devoted to the role of "discovery analyst" in 
support of Searchworks, the library's discovery system.

This position is in the Metadata Department of the Library, and reports 
to the Head of Data & E-resources Control.


 1. Provide data analysis in support of the loading of vendor-supplied
    records for e-resources through the locally developed "e-loader"
 2. Correct errors and improve quality of incoming records through
    batch-editing, scripting, and other automated means.
 3. Schedule and monitor record loads and resolve any attendant problems.
 4. Develop mechanisms for tracking and loading update files for ongoing
    e-resource packages.
 5. Serve as liaison to other departments/units on issues related to the
    e-loading workflow, and the maintenance and development of the e-loader.
 6. As "discovery analyst", field user's questions/feedback from
    SearchWorks, investigate problems reported, identify source of
    problem, and suggest solution to the development team. Test bug
    fixes and system enhancements before they are released. Document
    specifications for system features and provide "how things work"
    type documentation.
 7. Provide data analysis and technical support for other Metadata
    Department's initiatives and projects (e.g. evaluate new sources for
    metadata enhancement, convert MARC records to other metadata formats
    such as RDF).

/We are not able to provide relocation or sponsorship for this position. 
Stanford University is an affirmative action, equal opportunity 
employer. Thank you for your interest!/


  * Demonstrated knowledge and experience with these metadata standards:
    AACR2, RDA, MARC21, LC classification, LC subject headings.
  * Demonstrated experience with batch processing of MARC21
    bibliographic records (e.g. loading, batch-editing, transformation)
  * Knowledge of the working of an ILS (integrated library system), the
    role of bibliographic records in it, and how this type of record is
  * Demonstrated experience with assessing the quality and level of
    conformity to cataloging standards of bibliographic records through
    automated and manual methods.
  * Demonstrated familiarity with software that can perform analysis and
    batch processing of bibliographic records.
  * Demonstrated experience with using tools such as MarcEdit, XSLT, or
    scripting languages (e.g. Perl, Python) to transform or remediate
  * Excellent analytic and problem solving skills.
  * Proven ability to manage projects, from initial scoping through
    planning and implementation.
  * Consistent accuracy and attention to detail while maintaining a very
    high level of productivity.
  * Effective oral and written communication skills.
  * Ability to work effectively in a dynamic, production-oriented
    environment and the ability to adapt quickly and work under pressure
    to meet deadlines and production goals.
  * Master of Library and Information Science degree or equivalent in
    knowledge and experience.


  * Advanced knowledge of XML and scripting.
  * Knowledge and experience with MODS and other non-MARC metadata formats
  * Advanced knowledge of cataloging and authority control, including
    RDA and PCC guidelines and practices.
  * Knowledge of Unix, regular expression, and SQL.
  * Knowledge of RDF and linked data, and how semantic web technologies
    might be applied to bibliographic metadata.
  * Familiarity with Atlassian's Jira and Confluence software for bug
    tracking and documentation.

Job: Library
Location: United States-California-University Libraries
Schedule: Full-time
Job Grade: 3P2

*Application procedure:*

Electronic application required. Go to 
and search for job number 10077871. In addition to a cover letter and 
resume, applicants should provide names, phone numbers, and email 
addresses of three references.

Philip E. Schreur
Head, Metadata Department
Stanford University
650-725-1120 (fax)