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Data Studio  

Last Updated: Mar 19, 2015 URL: http://libguides.calpoly.edu/datastudio Print Guide RSS Updates

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Data Studio Upcoming Events

THE DATA STUDIO PRESENTS

Robert E. Kennedy Library

  • Cyber CSI: Working to Solve the Data Security Crisis
  •  April 16, Thursday, 11:10am-12pm, Library 111C

Zachary N. J. Peterson, Assistant Professor in the Cal Poly State University Computer Science Department and Cal Poly Cybersecurity Center, will present “Cyber CSI: Working to Solve the Data Security Crisis” from 11 a.m. to noon Thursday, Apr. 16 in Room 111-C in the Kennedy Library. Peterson will be discussing the security implications of data storage systems and issues with encrypting mobile device data. Specifically he will be addressing the challenges of digital forensics, a branch of forensic science encompassing the recovery and investigation of material found in digital devices, often in relation to computer crime. In addition to working at Cal Poly Peterson is a research associate of the Storage Systems Research Center (SSRC) at the University of California, Santa Cruz and the Security and Privacy Applied Research Lab (SPAR) at the Johns Hopkins University Information Security Institute. 

Historic San Luis Obispo Shared Through GIS with David Yun

  •  April 30, Thursday, 11:10am-12pm, Library 111C

David Yun, Cal Poly State University Natural Resources Management and Environmental Sciences (NRMES) lecturer and City of San Luis Obispo Geographic Information Services Supervisor, will present “Historic San Luis Obispo Shared Through GIS” from 11 a.m. to noon Thursday, Apr. 30 in Room 111-C in the Kennedy Library. The City of San Luis Obispo is one of California’s oldest communities beginning with the founding of Mission San Luis Obispo de Tolosa in 1772 as the fifth of twenty-one California missions. Most historical information exists as paper documents, but they are not easily accessible. Yun discusses how the scanning of SLO historic documents and maps provides easy access to and management of this information.

     

    Data Studio Overview

    Discover - Explore - Create - Share


    Data plays an increasingly important role in scholarly and professional communication. Data literacy, discovery and reuse are growing in importance as skills that will support effective problem solving, innovation, collaboration and other activities across a wide array of disciplines and professions.

     DISCOVER

    The root of the word “polytechnic” comes from the Greek work techne, meaning craft, art or skill. “Poly” (meaning “many”) suggests instruction in many technical arts or applied sciences. The Data Studio fosters a polytechnic atmosphere, providing a collaborative environment that can inspire students to discover techniques for working with information in new and dynamic ways. Just as designers and artists produce original work in studios, Cal Poly students use the Data Studio to create and interact with data in creative, innovative and even beautiful ways.

    EXPLORE

    The resources in the Data Studio give students access to a wide variety of data and allow them to use that data in novel ways. Students can tailor the Data Studio furniture and hardware to their liking to best promote effective teamwork. Through instruction, collaboration and hands-on experience, students are able to direct their own learning and explore familiar topics in new ways.

    CREATE

    “Impossible” challenges can often be met through wise use of quality data. Having the right data and the right analytical and visualization tools and using them effectively calls for critical thinking and creative solutions. The resources in the Data Studio give students the skills and capacity to meet the challenges of the future and create innovative resolutions: Cal Poly’s Learn by Doing philosophy in action.

    SHARE

    Using tools in the Data Studio, students are learning to communicate their information in new ways. The creative space encourages involvement with data in a deeper and more profound way than most students and researchers have experienced before. A shared space encourages students to share their ideas and visions and become part of a larger data-savvy community.

     
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