Data, GIS & maps

Data Services

Data is an increasingly important element in a wide array of disciplinary, scholarly, and professional communications. Data and spatial literacy is growing as an important as skill that will support effective problem-solving, innovation, collaboration, and other activities for faculty and students.

The Data Services program revolves around the discovery, exploration, creation, and sharing of data via technology, consultation, collaboration, and pedagogy in support of Cal Poly’s mission, programs of learning, and research.

Learn more about services, programming, and resourcess.

The Data Studio

The Data Studio is the center of Cal Poly’s Data Services program. Located in Kennedy Library’s Room 111C, the space facilitates interdisciplinary exchange of ideas surrounding data as the new text. Learn more.

GIS

GIS (Geographic Information Systems) is a type of software that helps people think spatially and approach problems from a geographic perspective. Spatial data reveals patterns, illustrates problems, and shows connections that are not otherwise evident. It can be used in business, history, environmental science, agriculture, civil engineering, architecture and many other areas of study.

Kennedy Library’s GIS program includes providing GIS software, supporting GIS-related events and outreach, and providing GIS consultative services. Learn more at the GIS research guide.

Map collection

The Library’s map collection emphasizes maps of the Central Coast Region and the West Coast of the United States. General maps for other geographic areas and subjects are also available. For more information, consult a college librarian, a research help desk staff member, or the maps research guide.

Data management

The Data Services program includes data management resources in response to the emerging need for library-based data consultative and archival services, helping scientists meet scholarly expectations and research funding agency requirements for sharing, reusing, and managing or archiving digital data. Learn more at the data management research guide.

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