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Virtual
Data Science in Libraries (309608)
Cynthia Hudson Vitale, Penn State University*Xuying Xin, Penn State University
Keywords: Research Libraries, Research Community, Data Science, Data Visualization, Big Data Analytics, Software Tools, Statistics, Tableau, Power BI, R, ArcGIS, Workshops, Consultations, Guest Lectures
The advancement of data science methods and products has transformed many sectors, such as commerce, healthcare, government, education, and even academic libraries. As part of a top-tier research library, we have recently established a portfolio of data services to meet the increasing demand for data analysis and visualization techniques from the research community, including faculty, students, and staff from various colleges at the university. To support and build a community of data science researchers and users, we‘ve launched a Digital Lab to provide space, computer, and software tools for patrons to work on their data visualization projects. Workshops, consultations, and guest lectures have been provided to support research projects benefiting from the advanced data analytics and visualization techniques and services available in the university libraries. Statistical programming, such as R, STATA, SPSS and software tools, such as Tableau, MS Power BI, and ArcGIS have been applied to this data service. In addition, the existing data analytics and visualization service are being extended to include Big Data Analytics.