Posted to IASSIST on: 2014-10-29
Employer: University of Minnesota
Employer URL: http://www1.umn.edu/twincities/index.html
Description
This position is located in the Research Services unit, which is part of The College of Liberal Arts Office of Information Technolog (CLA-OIT). The employee will work collaboratively with research faculty, graduate students, and staff throughout the College of Liberal Arts to support mixed research methods, tools, management, and dissemination. The employee will work with the Research Support team and other teams in CLA to assist and guide researchers throughout the research lifecycle. The employee will provide formal and informal consultation and training on mixed-methods research tools and procedures.
Major Job Functions:
Qualitative and Mixed-Methods Research Management (80%) Mixed-methods research consultation and support: Drawing on discipline-specific expertise and working with staff and resources within CLA, partner with researchers to document standards and implement best practices in qualitative data management throughout the research lifecycle Assist researchers with design and selection of appropriate methodology for mixed-methods research studies; partner with researchers across the liberal arts on grant-funded mixed-methods research projects Consult on the best software (e.g., data analysis, visualization, audio editing packages, etc), tools (e.g., recording devices, scanning/OCR devices), and services for given research questions Assist researchers with managing qualitative data once collected to ensure they are secured and follow best practices in long-term storage and access. Work directly with researchers to develop and implement strategies for de-identifying textual documents and datasets where appropriate Work with researchers to select and implement analysis techniques for qualitative and mixed methods data Consult on acquisition, use, and storage of secondary-use data sources Collaborate with other service providers, research groups, and the broader University community to advance related initiatives, policies, and methods across the University.
Mixed-methods research training and documentation: Assist faculty, staff, and graduate students in discipline-specific use of qualitative and quantitative data tools (e.g., AtlasTI, nVivo, EndNote, Zotero, Stata, R) through group training, individual consultation, and online documentation Develop, document, and disseminate procedures and best practices for mixed methods research in the College Collaborate with service providers within departments, in the College, and across the University to coordinate training and support for various stages of mixed-methods research
Research Instrument Design and Consultation (20%) Consult with researchers and with other Research Support Service staff to ensure all data collection supported by Research Support Services meet guidelines and expectations for best practices in qualitative and mixed methods research Collaborating with Research Support Service staff, assist in the design and development of interview and survey instruments
Non-Essential Functions: Conferences and Professional Development: Attend academic and professional conferences to stay aware of current best practices for data management and of field-specific expectations and resources Seek opportunities to participate professionally in the field through publication and presentation of relevant contributions to mixed-methods best practices and methodology
Required Qualifications:
Candidates for this position must have a Ph.D. in a liberal arts field. Must have experience as a researcher collecting, analyzing, and managing mixed-methods research data. Must have experience communicating effectively with faculty, graduate students, and other researchers, as well as other support staff. Must be able to work collaboratively to address faculty and researcher needs. Must have strong writing and speaking skills.
Preferred Qualifications:
The ideal candidate will have obtained his or her undergraduate degree in a liberal arts field or interdisciplinary area outside of his or her primary discipline; experience supporting research in multiple fields; and experience with data archival practices and procedures.
Archived on: 2014-10-30