Research Data Management Systems Librarian

Kingston, ON
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Created: May 19, 2017


Queen’s University Library is looking for a Research Data Management Systems Librarian to join our team and play a key role in building the infrastructure needed to support students and faculty at Queen's University with the management of research data, including big data generated by computationally intensive research programs. In developing this infrastructure we are partnering with Scholars Portal, a technology support service for Ontario’s 21 academic libraries with experience in managing large collections of scholarly resources and building infrastructure to support digital preservation and access at scale.

The Librarian will work at Queen's University and participate as a member of the Scholars Portal Data and GIS Services team to develop a local and provincial research data management infrastructure integrated into a larger developing network of data management services across Canada. To achieve this vision, the Librarian will collaborate with the Centre for Advanced Computing and other partners at Queen's University, coordinate with other academic libraries in Ontario and participate in the efforts of Portage, the Canadian Association of Research Libraries' initiative working to help local and regional infrastructure developers integrate at the national level.


The successful candidate will possess the following

  • An ALA accredited M.L.S./M.L.I.S. degree or equivalent
  • Demonstrated ability to evaluate, implement and manage applications and web-based solutions using a variety of technologies (e.g. Dataverse, Archivematica, Islandora, Hydra)
  • Knowledge of emerging technologies and an awareness of the opportunities and challenges they present to the academic, research and library environments
  • Proven technical abilities and demonstrated knowledge of databases and other applications and utilities used to manage and transfer data between different systems
  • Familiarity with the research data lifecycle and research processes
  • Familiarity with semantic web and linked open data concepts
  • Familiarity with metadata standards and formats used in research (e.g. Dublin Core, DDI, ORCID, DOI)
  • Understanding of issues related to digital preservation
  • Excellent interpersonal, organizational, oral and written communication skills
  • Strong service philosophy and a commitment to effective user experiences
  • Demonstrated ability to work effectively in both team-based and self-directed environments
  • Demonstrated ability to work collegially and cooperatively within and across organizations with a diverse range of stakeholders
  • Demonstrated ability to win the trust and confidence of faculty and other stakeholders
  • Dedication to continuous learning and development and the ability to work in a rapidly changing environment

More about the position

The full position description can be found here.

This Librarian positon is a limited term Special Appointment and is available immediately. Librarians are members of the Queen’s University Faculty Association and terms and conditions of work are governed by the collective agreement between the Association and the University.

Salary and rank will be commensurate with qualifications and experience.

As this is an externally funded position with an initial two-year term, special appointees may be reappointed subject to continuing funding from the external funding agencies, and subject to the provisions in Article 25 of the Queen’s University Faculty Association collective agreement.

How to apply

Please submit your application before May 15, 2017.

To apply, send a letter of application accompanied by curriculum vitae and the names of three referees, one of whom must be a current or recent supervisor to

Queen's University is committed to employment equity and diversity in the workplace and welcomes applications from women, visible minorities, aboriginal people, persons with disabilities, and persons of any sexual orientation or gender identity. All qualified candidates are encouraged to apply; however, Canadian citizens and permanent residents will be given priority.

To comply with Federal laws, the University is obliged to gather statistical information about how many applicants for each job vacancy are Canadian citizens/ permanent residents of Canada. Applicants need not identify their country of origin or citizenship, however, all applications must include one of the following statements: I am a Canadian citizen/permanent resident of Canada; OR, I am not a Canadian citizen/permanent resident of Canada. Applications that do not include this information will be deemed incomplete.

The University has policies in place to support its employees with disabilities, including an Accommodation in the Workplace Policy and a policy on the provision of job accommodations that take into account an employee’s accessibility needs due to disability. The University will provide support in its recruitment processes to applicants with disabilities, including accommodation that takes into account an applicant’s accessibility needs. If you require an accommodation during the interview process, please contact Human Resources Administration,, 613-533-2070.

How to apply


Please apply on-line using the link above. This position is coming here a little late in the posting as we just noticed the code4lib job site was reactivated (thanks Chris), but there's still time to apply!

Big data Archivematica Dataverse ORCID Data curation Data management RDM


Published: Monday, May 22, 2017 20:21 UTC

Last updated: Monday, May 22, 2017 20:21 UTC