Posted to IASSIST on: 2015-06-03
Employer: University of Alberta
Employer URL: http://ualberta.ca/
Description
The University of Alberta Libraries, with a long tradition of technological innovation and service excellence, seeks a dynamic and engaged professional for an 18 month contract to work as a member of a project team to create rich metadata for discovery, access, citation, and long-term preservation of historical and contemporary collections of maternal, infant, child and youth health research data.
“Bridging the Research Data Divide: Rethinking Long-term Value and Access for Historical and Contemporary Maternal, Infant and Child Research”, a grant-funded collaboration between the Libraries and Harvard University’s Center for the History of Medicine (CHoM), seeks to bring temporal depth in laying the groundwork for value-added long-term access to and preservation of both collections, while protecting the privacy of research participants and communities of study.
Reporting to the Metadata Coordinator, and working as a part of a small team located at Uof A and Harvard, the successful candidate will work with researchers to analyze, assess and select relevant metadata standards; perform metadata mapping and data integration activities using open source tools; implement current best practices regarding sensitive health metadata (and data); work with UAL and Countway staff to expose and preserve project metadata and data; supervise and review the work of the UAL Data Curation Assistant; develop guidelines for metadata creation and enhancement by UAL project staff; develop and maintain internal / external project documentation and communication; contribute to conference presentations and articles about the project.
Qualifications include a Master’s degree in Library and Information Studies from an ALA accredited institution; experience working with metadata and/or data in the health sciences or related field. Experience with developing, applying and managing metadata schemas and controlled vocabularies or other relevant complex data integration and analysis activities and/or familiarity with conventions and standards within the health sciences or related field would be an asset. Applicants must possess excellent communication and interpersonal skills; the ability to take initiative and work independently; comfort with learning new tools and software; interest in collaborating on project presentations and papers.
Archived on: 2015-06-03