DescriptionResponsible for coordinating data management program at UT Libraries. Collaborates with staff, Texas Advanced Computing Center, Information Technology Services and other campus partners to ensure the UT community is making the best use of the services available to them. Reports to Scholary Communications Librarian.
Develop and deliver data management training; including workshops, drop-in classes, one-on-one sessions, and the creation and management of online resources. Coordinate with others in the library to effectively communicate services within the library and across campus. Keep the university community informed about policies and activities related to data management. Provide consultative services to UT Austin researchers including evaluating data management plans, assessing and advising on data sharing platforms, and providing information about specific funder/publisher requirements. Maintain knowledge on a range of data repositories including their submission, IP, and use policies, and provide guidance on repository selection. Work with UT Austin staff and administrators to support continued development and visibility of data management services available to researchers. Monitor and help improve university compliance with funder policies, procedures, and guidelines. Stay informed of data standards, metadata standards, best practices for data management, funder requirements, etc. to continuously build expertise and improve services. Contribute to informational materials and programming about open data and open access. Engage in ongoing professional development and scholarship through attending and/or presenting at conferences and workshops. Maintain awareness and engagement with national and international trends in data management and scholarly communication.
Other related functions as assigned.
Masters degree. A minimum of two years of experience in informatics, scientific research, and/or managing research data in libraries. Experience developing and delivering training or workshop presentations. Experience with assigning metadata, transforming metadata, and/or batch metadata editing. Have or be able to develop a deep working knowledge of the data management practices and requirements of researchers and external funding bodies (NSF, NIH, etc.). Experience with one or more components of the research data life cycle: creation, processing, analyzing, preserving, providing access to, and re-using. Familiarity with research methodology, tools, and data sources. Ability to communicate with faculty, librarians, and students in a range of disciplines. Excellent analytical, organizational, oral and written communication, and interpersonal skills. Ability to be proactive and work independently with varied user groups within a complex organization. Equivalent combination of relevant education and experience may be substituted as appropriate.
Masters degree in a data intensive research field and/or library and information science. Experience working with researchers on data management planning. Experience with a programming language such as Python, Perl, or PHP. Experience with GIS software and geospatial data. Familiarity with multiple metadata standards. Familiarity with technologies used in high performance computing. Experience with Dataverse, Dspace, and/or Drupal. Experience with the manipulation of datasets and data visualization tools. Knowledge of quantitative data analysis applications such as Stata, R, SPSS, etc., and qualitative research tools such as Nvivo, Atlas.ti, etc. Demonstrated familiarity with issues and trends in scholarly communication.
Last updated: Tuesday, February 28, 2017 23:41 UTC