Sr. Assistant Data Librarian

Posted to IASSIST on: 2016-04-21

Employer: The Roper Center for Public Opinion Research

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This position is the Roper Center Data Librarian and will play a critical role within the senior leadership team of the Roper Center. The incumbent will manage, develop and lead the collection of public opinion survey/research archives, including assuring that data accepted into the Roper Center Archive are maintained using the best practices in archival methods and data curation, and are offered in current formats so as to permit both long term preservation and dissemination. The Data Librarian develops and adopts archival standards for the Roper Center’s collections; manages and coordinates various workflows within the archive collections in accordance with expanding data curation and online accessibility requirements; supports Roper Center’s member clients in the use of data files for secondary analysis, and coordinates day-to-day operations that ensure the quality, timeliness, and comprehensiveness of the Roper archive holdings. This individual also plans, implements and directs data quality review and metadata production workflows, as well as researches, proposes and implements policies for long-term preservation and accessibility of Roper Center polling and survey data.

The Data Librarian also identifies and pursues opportunities to promote the quality of the Roper Center’s Archive through meeting accreditation processes and maintaining these accreditations, such as Data Seal of Approval and AAPOR’s Transparency Initiative. The incumbent will also work with data donors, providers and [innovators/developers]{.GH1VYTHCEFM} to develop collections with the potential to enhance the Roper Center’s Archive and related services as a resource for the Center’s existing and future members, and respond to user inquiries in regard to finding, accessing and using Roper Center data files for secondary analysis. The position is also responsible for maintaining knowledge of emerging trends within public opinion research data, including the interface between business and academic data and trends in tools and provision in other domains. The Data Librarian supervises archive staff including the Data Manager and student interns.

The Data Librarian maintains and expands outreach and professional engagement, including promoting the resources and services of the Archive through presentations, webinars, and publications; participating in writing proposals to funding agencies and execution of accepted proposals; and establishing and maintaining professional relationships with organizations and individuals engaged in similar or complementary goals, such as IASSIST and Data-PASS.

The successful applicant will be an adaptive problem-solver familiar with social science research methodologies and the use of quantitative data, particularly public opinion. A key facet to this position will be working closely and productively with other data and information services professionals at Cornell and beyond as well as with various IT staff members.

  • MLS from an ALA accredited school or Master’s Degree in a [quantitatively-oriented]{.GH1VYTHCEFM} social science field. 
  • Minimum of three to five years’ experience in digital archiving or data management.  
  • Demonstrated knowledge of archives and records management theory and practice, including experience processing archival records.
  • Knowledge of data preservation theory and practice, as well as strategies and technologies utilized by the archival community for managing data.
  • Knowledge of relevant standards for archival data description, including DDI, and familiarity with other metadata standards such as METS and PREMIS.
  • Excellent organizational skills and ability to plan, coordinate, and implement complex projects.
  • Excellent interpersonal, oral, and written communication skills.
  • Ability to work both independently and collaboratively with a variety of staff in a rapidly changing environment.

Preferred Qualifications:

  • Experience implementing policies, standards, and procedures for stewardship of data in an archive.
  • Familiarity with social science data and analysis. Comfortable with SPSS, Stata, or similar statistics software.

Archived on: 2016-04-21