Social Science Data Archivist

Posted to IASSIST on: 2005-07-05

Employer: University of Washington

Employer URL:


Our Center for Social Science Computation and Research (CSSCR) has an outstanding opportunity for a(n) Data Archivist.

This individual will:

  • Maintain and develop a large electronic data archive for social sciences research.
  • Manipulate and construct large, complex data files using social science statistical software packages such as SPSS and SAS. 
  • Teach periodic courses in the effective use of Center?s data archive and other electronic data products. 
  • Maintain codebooks and update archive compendium. 
  • Obtain, format, store, and publish data on the Web for clients to use. 
  • Acquire data from domestic and international data archives. 
  • Search, evaluate and select data products not available from Center’s standard sources. 
  • Integrate new data into the existing system. 
  • Act as Center’s primary contact for numeric data request. 
  • Consult individually with faculty, staff and students to assist in identifying, accessing and utilizing appropriate data resources for their research and teaching. 
  • Perform data extraction from Center subscribed economic databases in response to various clients’ inquires. 
  • Provide user help in retrieving data from large datasets, merging data files, recoding and computing variables, and formatting data for use in different statistical software packages. 
  • Act as liaison between data source organizations and data users in terms of data access, data security control and data use agreement. 
  • Attend annual meetings and workshops on acquisitions and subsequent use of new data.

Minimum requirements include Bachelors degree in related field. Additional requirements include 3 or more years of direct employment experience in electronic data archive development and maintenance.

Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.

MA or PhD preferred in Statistics, Library Science or a Social Science.

Archived on: 2005-12-31