Posted to IASSIST on: 2019-09-20
Employer: Dalhousie University
Employer URL: https://www.dal.ca/
The Data Librarian provides system-wide leadership in the delivery of data services, reporting to the AUL Library Services. The Data Librarian fosters and responds to the growing interest in the application and use of data, datasets and geospatial concepts and techniques as part of the research agenda of faculty and students. The development and provision of data services will involve working with colleagues from all libraries in the Dalhousie Libraries system. The Data Librarian will coordinate data-related training and professional development opportunities for librarian colleagues to achieve excellence in the delivery of data services. Research, liaison, collections and instructional duties for assigned subject areas will be located at the Killam Memorial Library for the Department of Psychology & Neuroscience, the Integrated Science Program and the Faculty of Computer Science.
Main Areas of Responsibility:
- Provides leadership and expertise in coordinating, planning and delivering library services related to the collection, discovery, use, and management of locally and externally available geospatial and numeric data across the Dalhousie Libraries
- Provides specialized reference service and instruction to faculty, graduate, and undergraduate students in the use of spatial and numeric data.
- Delivers effective data research instruction for individuals, groups and classes. Supports the development of data literacy and numeracy skills, and liaises with instructors to promote and facilitate the use of data in their classes.
- Leads workshops on various aspects of data/GIS services and applications, data visualization tools, and statistical software.
- Performs collections and liaison duties in the sciences.
- Works in partnership with the Research Data Management (RDM) team, sharing expertise and knowledge.
- As the Data Liberation Initiative (DLI) and Interuniversity Consortium for Political and Social Research (ICPSR) representative, promotes access to Statistics Canada Public Use Microdata Files (PUMF) via various platforms, downloads microdata files as necessary and provides appropriate support.
- Provides in-depth consultation and information services in the discovery and use of Canadian statistical resources (e.g. Census, Stat Can Data Tables), survey data, and data access resources and tools (e.g. CHASS, Nesstar, ODESI, ICPSR).
- Promotes the use of geospatial data and the services provided by the Dal Libraries’ GIS Centre based on the analysis of constituents' needs, and in the context of other value-added services provided by the Libraries.
- Performs subject specialist liaison duties for the Department of Psychology & Neuroscience, the Integrated Science Program and the Faculty of Computer Science, including research assistance, systematic review support and collection management.
- Actively participates in key data groups – e.g. DLI, IASSIST and ICPSR.
- Performs other related duties as assigned.
- An MLIS degree from an ALA accredited program or equivalent.
- Excellent oral and written communication skills.
- Ability to communicate effectively with students and researchers of varying levels of technical expertise.
- Proven ability to engage students and enhance learning outcomes through effective teaching techniques and the use of appropriate educational technologies.
- Demonstrable knowledge of a wide variety of Canadian and international data sources.
- Demonstrated ability to effectively liaise with faculty and students and work collaboratively to achieve the library’s goals and strategic plan. • Excellent analytical project management skills.
- Willingness to share expertise, work in teams and negotiate solutions with diverse groups.
- Bachelor of Science, Computer Science, or Psychology degree, or demonstrated professional experience in the sciences, computer science, or psychology.
- Previous experience with one or more of SDA, ODESI, NESSTAR or similar data extractor/ delivery system.
- Demonstrable working knowledge with one or more statistical software packages such as R, STATA, SAS, MATLAB or SPSS.
- Experience with common qualitative and quantitative research methods, descriptive statistics and data analysis tools & techniques.
- General knowledge of spatial analysis and GIS applications (e.g. ArcGIS).
- Interest in and capacity for conducting research.
- Experience with delivering academic library services such as instruction and liaison to one or more science disciplines.
- Proven ability to work independently and collegially as a productive member of a team.
- Proven ability to promote respect and inclusion by working successfully with a wide variety of people and encouraging their participation and involvement.
Archived on: 2020-01-08