Data Curation Librarian

Posted to IASSIST on: 2011-05-19

Employer: Northeastern University Libraries

Employer URL: http://www.lib.neu.edu/

Description

Are you interested in applying your skills to a new area of information management and working alongside world-class researchers as you do so?  Do you think about the future of libraries, open-access to research data, and digital repository services?  If so, consider becoming our data curation librarian!

As part of the Digital Library Management department, the Data Curation Librarian provides a wide range of curatorial services, including data documentation, assistance with developing appropriate data management plans, and preparation of data for storage in Northeastern’s digital repository service.

The successful candidate will work closely with colleagues in the Libraries andacross campus to play a leading role in ensuring Northeastern’s compliance with data curation mandates as well as promoting open access to Northeastern produced research data.  He or she will be responsible for developing and maintaining a robust and integrated set of programs and activities that strengthen the Library’s role in supporting data-intensive research and researchers at Northeastern as well as meeting the secondary data analysis needs across all disciplines.

Qualifications for this exciting position include: ·      MLS or equivalent degree. ·      Additional Master’s degree or equivalent research experience in a relevant science or social science discipline. ·       Minimum of 5 years experience working with research data and researchers (e.g. a combination of academic work done in labs with research data, outreach workdone with researchers and faculty, digital repository work, etc. ) ·      Good communication and interpersonal skills. ·      Strong skills in collaboration and teamwork within an entrepreneurial academic environment. ·      Strong service orientation and understanding of user needs. Desirable: ·      Experience with relational databases. ·      Knowledge of XML and metadata standards relevant to data. ·      Knowledge of one or more scripting languages, i.e. PHP, Perl. ·      Familiarity with major data resources, such as ICPSR, Census, etc.

Archived on: 2011-05-30