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    Luddy School of
    Informatics, Computing, and Engineering

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    • Ayoung Yoon, Ph.D.

    Ayoung Yoon, Ph.D.

    Associate Professor, Library and Information Science, Data Science
    IAHI Affiliate Faculty

    Phone:
    317-278-2388
    Email:
    ayyoon@iu.edu
    Website:
    https://ayoungyoon.com/
    IT 563
    • Google Scholar

    Education

    • Ph.D. Information Science, University of North Carolina at Chapel Hill
    • M.S. Information, University of Michigan
    • B.A., History, Ewha Womans University, Seoul, South Korea

    Biography

    Yoon's research aims to advance a socio-technical approach to data curation practice, examining how data are managed, interpreted, and institutionalized across scientific and civic contexts. Her scholarship spans two interrelated domains: 1) professional and institutional infrastructure for research data management and 2) community-centered data ecosystems mediated through public institutions such as public and academic libraries. Grounded in this framework, she leads multiple externally funded research projects that build structural capacity for data curation and reuse in diverse institutional settings, from academic research environments to rural public libraries. A central outcome of this work is the Model for Community Open Data Engagement (mCODE), which reconceptualizes public libraries as socio-technical intermediaries that facilitate equitable data access, community data literacy, and locally meaningful civic action. Her long-term research goal is to design and operationalize data infrastructures that maximize the integrity, reproducibility, and equitable impact of data across communities of researchers, practitioners, and civic actors.

    She was a 2016 Research Data Alliance-U.S. Data Share Fellow, investigating how community researchers share and reuse data for community development and decision-making. Yoon earned her doctorate from UNC and received the Eugene Garfield Doctoral Dissertation Award in 2015 for her dissertation, “Data Reuse and Users’ Trust Judgments: Toward Trusted Data Curation.

    Research Interests

    • Socio-technical approach to data curation
    • Community data ecosystems
    • Open data engagement
    • Data intermediaries

    Courses

    • LIS-S 582 Digital Preservation
    • LIS-S 583 Data Curation and Management
    • LIS-S 604 Community and Data
    • LIS-S 686 Web Archiving and Preservation

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    • Lab Culture: Data to Action

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