People Who Need Data People: A Case Study in Building Cross-Campus Data Support

Cameron Cook, Heather Shimon, Sarah Stevens, Trisha L. Adamus, Clare Michaud

Source Title: Handbook of Research on Academic Libraries as Partners in Data Science Ecosystems

ISBN13: 9781799897026|ISBN10: 1799897028|ISBN13 Softcover: 9781799897033|EISBN13: 9781799897040

DOI: 10.4018/978-1-7998-9702-6.ch003

MLA

Cook, Cameron, et al. "People Who Need Data People: A Case Study in Building Cross-Campus Data Support." Handbook of Research on Academic Libraries as Partners in Data Science Ecosystems, edited by Nandita S. Mani and Michelle A. Cawley, IGI Global, 2022, pp. 45-60. https://doi.org/10.4018/978-1-7998-9702-6.ch003

APA

Cook, C., Shimon, H., Stevens, S., Adamus, T. L., & Michaud, C. (2022). People Who Need Data People: A Case Study in Building Cross-Campus Data Support. In N. Mani & M. Cawley (Eds.), Handbook of Research on Academic Libraries as Partners in Data Science Ecosystems (pp. 45-60). IGI Global. https://doi.org/10.4018/978-1-7998-9702-6.ch003

Chicago

Cook, Cameron, et al. "People Who Need Data People: A Case Study in Building Cross-Campus Data Support." In Handbook of Research on Academic Libraries as Partners in Data Science Ecosystems, edited by Nandita S. Mani and Michelle A. Cawley, 45-60. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-7998-9702-6.ch003

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Abstract

UW-Madison has a thriving community of support around research data management and sharing, computational skills, and research reproducibility which are all building blocks for supporting campus data science needs. Support is provided through many campus organizations such as the Center for High Throughput Computing, the Research Cyberinfrastructure Initiative, Research Data Services, the Data Science Hub, and more. However, informal and formal interviews with researchers at UW-Madison have shown that as the campus invests in technological solutions and infrastructure to address common research bottlenecks, researchers are less limited by access to data and computing resources, but rather the knowledge to find, understand, and use those tools effectively. Specifically, researchers need “data people,” or people who can help them address these knowledge-based needs, who can fill in gaps in research support, who can advocate for their needs across campus silos, and who can build broad networks of relationships across campus to facilitate a better support experience.