Pennsylvania State University
The advancement of data science methods and products has transformed many sectors, such as commerce, healthcare, government, 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 visualization and analysis 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 have launched a Digital Lab to provide space, computers, and programming 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. Programming and software tools, such as R, Python, STATA, SPSS, Tableau, Power BI, and ArcGIS have been applied to the data services. Some of the tools have been applied to data curation for the institution’s research data repository. In addition, the existing data analytics and visualization services are being extended to include Big Data Analytics services on clouds, such as Azure, GCP, and AWS. This talk will report on service development, challenges, and community building initiatives more broadly.