Elizabeth Wickes

Link to my full CV here: Full CV


  • PhD Informatics, UIUC (in progress)
  • M.S. Library and Information Science, School of Information Sciences, UIUC (2016)
  • B.S. Sociology, Illinois State University (2008)


  • Lecturer (full time teaching faculty)  (June 2017 – Present)
    • School of Information Sciences,  University of Illinois at Urbana-Champaign
    • Instructed foundational programming courses, developed a project-based data curation/munging course, and a course on command line and version control.
    • Instructed and provided strategic development for local Carpentries workshops and custom remixes.
    • Provided research programming for several projects, including PDF text extraction, NER, web scraping, Twitter harvesting, topic modeling, sentiment analysis, and more.
  • Data Curation Specialist (May 2015 – May 2017)
    • Research Data Service, University Library, University of Illinois
    • Research data management librarian position, providing consultations of data processing, documentation, preservation, and dataset deposits.
    • Contributed to design of a new data repository, including schema development.
    • Harvested 3 million DataCite XML records to analyze metadata field use in inform our internal style.
  • Metadata Programming Intern (Summer 2014)
    • Content Access and Management, University LibraryUniversity of Illinois
    • Used web scraping tools to detect metadata links between volumes deposited within two repositories, automated XML edits to update UID connections.
  • Curation Manager (2012-2014)
    • Wolfram|Alpha, Wolfram Research, Champaign, IL
    • Managed a team of 12 curators (half remote) to complete data cleaning, data bug fixes, and natural language markup for millions of entities within the system.
    • Established and maintained code review processes, best practice and procedure documentation, and drove a 50% reduction in committed errors within the first six months of the position.
  • Data Curator (2011-2012)
    • Wolfram|Alpha, Wolfram Research, Champaign, IL
    • Completed projects on data investigation, bug fixes, natural language processing markup, and data model design.
  • Project Coordinator (2009-2011)
    • Wolfram|Alpha, Wolfram Research, Champaign, IL
    • Created and organized documentation, customer feedback processes, and listserv administration.



  • Interviewed for Perkel, J. M. “11 ways to avert a data-storage disaster,” Nature, 2019-04-01, doi: 1038/d41586-019-01040-w
  • Wickes, E. (May 2017). “Reworking the workshop: designing data management workshops to align with behavioral change models.”  Talk presented at IASIST Annual Conference 2017.  Poster version: http://hdl.handle.net/2142/95074
  • Wickes, E. (April 2017). “Computational Data Workflow Mapping.” Talk presented as part of Blue Waters Scientific Workflows webinar series.  https://youtu.be/xkDAgTilNjo
  • Wickes, E. (June 2016). How to approach selecting a license for data release. Blog post for Data Carpentry.  http://www.datacarpentry.org/blog/data-licensing/
  • Wickes, E. (April 2015). Programming as an Information-centered activity.  Talk presented at 2015 Python Education Summit, Montreal, CA. 6084/m9.figshare.1372436


  • Wickes, E. (forthcoming, 2019) Sustainability and success models for informal data science training within libraries. In Data Fluency in the Age of Data Science, Facet Publishing.
  • Wickes, E. (August 2018). “Reproducible education: what teaching can learn from open science practices.” Talk presented at JupyterCon 2018. 5281/zenodo.1402203 and https://www.youtube.com/watch?v=xkDAgTilNjo
  • (peer reviewed) Jordan, K. L., Corvellec, M., Wickes, E., Duckles, J., Teal, T. K. (June 2018). Short-format workshops build skills and confidence for researchers to work with data.  Paper presented at American Society for Engineering Education 2018 Conference, Salt Lake City, UT, USA.
  • Wickes, E. (August 2016). Creating Tidy Data in R. Workshop presented at the 2016 Midwest Data Librarian Symposium. https://github.com/elliewix/but-i-just-want-to-make-a-graph


  • Programming: Python, R, Java, SQL, Bash
  • Environments: RStudio, PyCharm, Jupyter, Eclipse
  • Specific tools: pandas, lxml, XPath, RegEx, git, GitHub
  • Remote collaboration: Slack, Zoom, GitHub, gitter, Microsoft Teams, Box, Google Drive



This page has highlights for several projects, including data management workshops and programming projects.

View Elizabeth Wickes' profile on LinkedIn


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