Digital Scholarship Librarian

Description

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 development

Qualifications:
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