Posted to IASSIST on: 2008-08-20
Employer: Harvard College Library
Employer URL: http://hcl.harvard.edu/
The Data Reference Librarian provides reference, teaching and learning support for Numeric Data Services and the Research Services of Lamont Library. Service support includes user instruction, staffing the reference desks at Lamont Library and the Center for Government and International Studies (CGIS), and responding to online reference questions. The Data Reference Librarian also participates in the Numeric Data Services instruction services, both subject-specific and course-related, to the Harvard University community. Assists patrons from all disciplines within the Harvard community locating numeric data in all formats from the data collections of the Harvard College Library, the Harvard-MIT Data Center, Harvard University and outside sources. Provides reference service via desk hours at both Lamont Library and CGIS Lab, phone, email and in-depth consultations for Harvard undergraduates, graduate students, faculty and staff. Contributes to the common reference and instruction goals of Lamont Research Services which is comprised of Numeric Data Services, Government Documents, Environmental Information Services, and Undergraduate reference. Monitors and responds to questions in the Dataquest reference queue. Creates and updates library instructional materials (both print and online). Develops subject guides to numeric data, develops guides to specific numeric databases in HOLLIS, on CD-Rom or in other formats. This is a term position to end August 31, 2009
Basic Qualifications: MLS from an accredited library school preferred. Two years reference experience in an academic research library, working with numeric data. Familiarity with statistical software (SPSS, Stata, SAS) and an understanding of how data files are organized and how to retrieve them in statistical software such as SPSS, Stata and SAS.
Additional Qualifications: Strong academic background in quantitative social sciences. An understanding of data file and codebook organization and the ability to provide instruction (to both new and experienced users) on the organization of data files and codebooks. Must be fluent not only in the changing technical aspects of numeric data files, but with the content and subject aspect of the data files and the specific vocabulary employed in the social science data field. Must have knowledge of social science information resources, a strong commitment to public service, and an ability to work with a variety of users. Excellent communication, teaching and presentation skills. Excellent time and project management skills.
Archived on: 2008-09-20