Digital Scholarship Librarian
University of Toronto

The Digital Scholarship Librarian's primary role will be to support and enable
the use of digital content in new research, by connecting faculty and students
to digital content held by the University of Toronto, using sustainable and
scalable digital research tools, methods and frameworks.

Working collaboratively with library colleagues and university partners, this
librarian will also promote the discovery, use and interoperability of the
resources in our digital repositories and their associated metadata in support
of new knowledge creation, by ensuring effective discovery, interoperability,
and persistence of a wide and multidisciplinary range of digital and digitized
objects and data, and by identifying and applying standards for descriptive,
administrative, and structural metadata.

The incumbent will provide leadership in the implementation of digital
curation policies, in active partnership with technical and subject specialist
library colleagues and the researcher community; ensure the appropriate
ingestion, migration and conversion of repository contents on appropriate
standardized platforms; contribute to the field through research, professional
service, and participation in committees and professional organizations; and
actively seek and engage in opportunities for continued professional


Required Qualifications:

  * MLIS/MISt degree from an ALA-accredited library school (or an acceptable equivalent).
  * Practical experience with relevant frameworks such as Drupal, Fedora, and DSpace, and standards such as RDF, METS, MODS, PREMIS, EAD, MARC, TEI, and OAI-ORE
  * Excellent oral and written communication skills
  * Demonstrated interest in digital research techniques
  * Demonstrated ability to lead and catalyze change
  * Ability to work effectively and collaboratively in teams that encompass a range of professional roles and knowledge
  * Ability to produce effective and creative technical solutions to support innovative research
Preferred Qualifications:

  * A minimum of two years of professional experience
  * Project management qualifications and supervisory experience
  * Research data skills
  * Teaching experience
  * Assessment methods
  * Further relevant technical skills, such as experience with linked data, data visualization, data format manipulation, and current programming languages

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