Data Services Librarian

Posted to IASSIST on: 2016-08-31

Employer: University of Miami

Employer URL: http://welcome.miami.edu/

Description

The University of Miami Libraries seeks applications for a Data Services Librarian. Reporting to the Associate Dean for Digital Strategies and working within a growing digital strategies team, the Data Services Librarian, a newly defined position in the UM Libraries, will play a central role in the development and provision of Library services for access, use, manipulation, and management of qualitative and quantitative datasets. The Data Services Librarian will work closely with liaison librarians, the GIS Services Librarian, Digital Humanities Librarian, and others to build a strong data services program. The UM Libraries are in the midst of developing a Learning Commons, and this position, along with the GIS Services Librarian, will play a critical role in defining and implementing models for data services.

Resposibilities:

• In collaboration with liaison librarians and others, provide consultative and instructional services for faculty, students, and staff in quantitative and qualitative data access and analysis, including use of software tools such as SPSS, SAS, NVivo, AtlasTI, and R;
• Select and acquire licensed, free, and researcher‐generated data collections to support research, scholarship, and teaching;
• Facilitate access to and use of data resources across disciplines;
• Create and maintain a data services web presence;
• Working in close collaboration with the GIS Services Librarian and the Learning Commons Implementation Team, design and implement a sustainable service model for data services in the Learning Commons;
• Serve as the University of Miami’s official representative to ICPSR and others as appropriate;
• Identify and promulgate data standards, metadata standards, and best practices for numeric and qualitative data management;
• As part of a larger campus effort, contribute to development of research data management services, including the management, curation, and sharing of data sets created by University of Miami researchers;
• Work with the Digital Infrastructure and Services Team and others outside of the Library (researchers, Office of Research, Center for Computational Sciences, and others) to identify requirements for infrastructure for preservation and access to research data;
• Working with the UM Libraries communications team and liaison librarians, market data services offerings across the university;
• Assess services and identify critical needs to continue to grow data services; and
• May serve in a supervisory role as appropriate.

Service:

• Network, collaborate, and actively participate in local, regional, national, and/or international organizations regarding data services;
• Represent and promote the University of Miami Libraries in local, state‐wide, regional, national, or international organizations, as appropriate; and
• Serve on/participate in Libraries and University organizations, committees, task forces, and teams as appropriate.

Minimum Qualifications:

• An ALA‐accredited MLS or MLIS degree, or, a Master’s or higher degree in a data‐ intensive discipline.
• Demonstrable experience working with numeric data in an academic or research setting.
• Knowledge of free and licensed sources for numeric datasets.
• Proven experience in the use of major statistical/analysis packages (such as SAS, R, STATA, and SPSS).
• Familiarity with issues related to qualitative data collection and analysis, including software packages such as NVivo or AtlasTI.
• Familiarity with principles of data documentation and metadata in an academic or research context.
• Demonstrated commitment to user‐centered library service and the ability to work flexibly and creatively in a changing and fast‐paced environment with a culturally diverse population.
• Good listener, superb people skills, and a strong team orientation.
• Capacity for professional development, involvement, and contribution.

 

Preferred Qualifications:

• ** **One year of relevant data services experience in an academic, scientific, or corporate setting.
• Advanced degree in a data intensive research field.
• Experience with one or more commonly used data repository platforms.
• Experience working in an academic library environment.

Archived on: 2016-09-19