Poster presented at the 2019 Special Libraries Association (SLA) annual conference.
Abstract: In 2018, the University of Cincinnati Libraries’ Research & Data Services (RDS) unit unveiled a new Visualization Laboratory (Viz Lab) and expanded service model including data visualization/data analysis. The RDS unit has its roots in STEMM and currently includes informationists, librarians and technical consultants who engages with researchers across all disciplines. The Viz Lab and its associated services are the culmination of several years of planning and implementation. This poster will share lessons learned and good practices with our visualization space and service planning, including considerations for space design, service and training models, staffing and assessment. In addition, this poster will describe the early impact of our efforts, as seen through consultation logs, trainings and campus outreach, space usage and grants activity. We will also reveal some future directions for RDS, including plans to increase integration of the Viz Lab and data visualization/data analysis services into the university’s teaching and research missions.
Acknowledgments: Amy Koshoffer, for creation of the Research & Data Services consultation log dataset and database structure.
This document is a supplement to the University of Cincinnati's Power Session workshop presented at Data Day 2019 by Richard Johansen and Mark Chalmers. The goal of this document is to reproduce the step-by-step instructions of the Power Session which demonstrated how to create interactive maps of social vulnerability at the county level. Familiarity with GitHub, R and RStudio environments are highly recommended, but not required to follow this tutorial. For a more in-depth explanation as to how the data was retrieved, cleaned, and manipulated, please refer to the full R script called Mapping_Social_Vulnerability.R located in the Scripts folder of the GitHub repository.
