Members
Lauren Magnuson (Unlicensed) (San Marcos) (Chair)
- Karen Schlesser (Unlicensed) (SJSU)
- Natasha Allen (Unlicensed) ((SJSU)
- Alyssa Loera (Unlicensed) (Pomona)
- Kate Barron (SJSU)
- Jennifer Rogers (SDSU)
- Sally Guess (Sac State)
- Marco Ruiz (CSUCI)
- Margot Hanson (Maritime)
- Marc Langston (Chico)
- Carl Hunt (SLO)
- Kimberley Smith (Fresno)
Charge
The Data Visualization Task Force explores, tests, and creates documentation and best practices for using data visualization tools (e.g., Tableau, others) with CSU library technologies (e.g., Alma, Primo, Inter-Library Loan software, etc. ).
Vision
The vision of this group is to facilitate the creation of an accessible, shareable, and scaleable data visualization system or platform that can be used to generate intuitive, interactive and beautiful data visualizations to better understand how library collections and systems are being used and promote data-driven decision-making. These visualizations will be shared with a variety of internal (library staff) and external (public) stakeholders. Protecting user privacy, while facilitating visualizations that help the CSU understand the return on investment of its collections and systems are essential components of this project.
Scope
The preliminary scope of this project involves creating visualizations from data available through Alma (NZ and IZ data) and Primo analytics. However, this task force will be mindful of and develop infrastructure for visualizing data from other library systems that are common across the CSU, including (but not limited to) data from:
- Circulation not tracked in Alma (e.g., laptops/equipment)
- EZProxy
- ILLiad/Tipasa
- Building/space usage
- Gate counts
- Classroom usage
- Study room usage
- Software/workstation usage
- Instruction & Reference, such as:
- # of sessions
- # of students per session
- Reference questions (e.g., Gimlet/ServiceNow)
- Learning outcomes assessment (possibly)
- SpringShare
- LibAnswers
- LibGuides
- LibCal (room bookings, equipment booking, event attendance)
- Google Analytics
- Spreadsheets
- Financial Data:
- CSU Financial Data Warehouse
- Financial Data (non-Collections, e.g., ILL)
Privacy Statement
The scope of this project specifically excludes the collection or analysis of Personally Identifying Information (PII) data. The scope of this project is to enable data analysis, visualization, and data-driven decision-making at the aggregate level, not facilitate the ability to analyze data about individuals. The Environmental Scan and Needs Assessment aspects of this project will identify mechanisms for ensuring that the privacy of individual library users and personnel is protected.
Deliverables
- Needs Assessment for Data Visualization Solution for the CSU System (Expected completion date: September 1, 2018)
- Data Visualization Environmental Scan, including review of software such as (but not limited to): (Expected completion date: June 30, 2018)
- Tableau
- LibInsight (SpringShare)
- SuperSet
- Recommendation for additional staffing for data visualization projects at the Chancellor's Office, including exploration of potential external funding sources/grants to facilitate resources
Timeline
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