Data Librarian 
The Graduate Center, CUNY
New York City

Data Librarian (Instructor, Assistant or Associate
Professor)

Job ID: 11933

Department: Library

Compensation: Commensurate with experience and
qualifications

Closing Date: February 14, 2015

  
Faculty Vacancy Announcement

Assistant/Associate Professor:

Supports a college library through providing in-depth consultation with
students and faculty and collaboration for the ongoing improvement of
instructional programs and practices. Pursues an active scholarly agenda,
performs supervisory duties, and participates in college-and university-wide
programs and committees as assigned.

  
Instructor:

Supports a college library through providing in-depth consultation with
students and faculty and collaboration for the ongoing improvement of
instructional programs and practices.

  
The Graduate Center defines the standard of contemporary graduate education:
rigorous academic training and globally significant research. It is recognized
for outstanding scholarship across the humanities, sciences, and social
sciences, and is integral to the intellectual and cultural vitality of New
York City. Through its extensive public programs, The Graduate Center hosts a
wide range of events - lectures, conferences, book discussions, art exhibits,
concerts, and dance and theater - that enrich and inform.

  
The Graduate Center Library seeks a Data Librarian to serve as the library's
expert on the discovery, manipulation, preservation, and publication of
research-related data. Reporting to the Associate Librarian for Public
Services and Scholarly Communication, the Data Librarian will work with
faculty and students across the disciplines, providing instruction and support
for the multifarious forms and roles of data in research and scholarly
production.

  
Duties include but are not limited to:

- Work with faculty and students who require support for research involving data (including but not limited to geospatial, demographic, and economic research), assistance creating and following data management plans required by funding agencies, and/or training in related tools and software.  
- Help faculty and students discover, collect, mine, extract, analyze, apply, maintain, secure, curate, display, share, and publish data. Advise about appropriate repositories for selecting and storing data. Support projects involving all kinds of data (GIS, demographic, bibliographic, numerical, text, sound, image, etc.), as well as projects in which data is being digitized from analog sources.  
- Offer cross-disciplinary group and one-on-one instruction on topics such as data manipulation and analysis, data management planning, file and citation management, and data visualization.  
- Maintain up-to-date knowledge about data tools and techniques, and integrate that knowledge into other duties.  
- Provide reference service in person, by chat, by email, and by phone.  
- Serve as a subject liaison for the social sciences, which includes performing outreach to departments, providing group and one-on-one instruction in research in those fields, analyzing and building collections, and helping researchers self-archive their work in the institutional repository.  
- Produce scholarly research and provide academic service in accordance with the library's tenure and promotion criteria.  
- Participate in the training of library staff, interns, and other collaborators.  
- Perform other related duties as assigned.  
  
Qualifications:

All titles require a Master's in Library Science (MLS), Master's in Library
Information Studies (MLIS), or closely related discipline from an ALA-
accredited institution. Also required is the ability to
work with others for the good of the institution.

  
For appointment as Assistant or Associate Professor, a second graduate degree
is required.

  
A preferred candidate should have:

- Familiarity with data management plans and data preservation tools  
- Knowledge of licensing and rights issues in relation to data use and sharing  
- Familiarity with web-based and open-source technologies used with data  
- Significant experience using geospatial, demographic, and quantitative data and related tools (e.g., XML/XSLT, Google Map API, ArcGIS, or QGIS)  
- Familiarity with major metadata standards (e.g., DC, DDI, OAI-PMH, MODS, METS, PREMIS, or MARC)  
- Experience with statistical software packages (e.g., Stata, R, D3, MATLAB, SAS, or SPSS)  
- Experience with exhibition and data visualization platforms (e.g., Scalar, Omeka, Gephi, Mapbox, or StoryMaps)  
- Advanced Excel skills  
- Experience with one or more scripting languages (e.g., PHP, PERL, or Python); SQL (e.g., MySQL or Microsoft SQL); HTML and CSS  
- Excellent communication, collaboration, and problem-solving skills  
- Demonstrated success with self-directed learning and project management  
- Language proficiency in addition to English  
- Teaching experience  
- Reference experience  
- Experience in an academic library or with advanced researchers  
  
How to Apply:

Please apply using the link below:

1.https://home.cunyfirst.cuny.edu/psp/cnyepprd/GUEST/HRMS/c/HRS_HRAM.HRS_CE.GB
L?Page=HRS_CE_JOB_DTL&Action=A&JobOpeningId=11933&SiteId=1&PostingSeq=1

  
Click on "Apply Now" below which will bring you to the registration screen. If
you are a new user, you must register to apply. If you already have a user ID,
please use your existing ID to apply. Make sure to upload a cover letter and
resume with the contact information of 3 professional references by the
closing date.

  
or Go to:

  
 2.http://cuny.jobs/ and search for Job ID
11933



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