Information Studies

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Author: search.filters.author.Hoffman, Kelly M.

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    Library and Information Science Research and Neurodiversity: So Much Potential if We'd Just Apply Ourselves
    (2023) Hoffman, Kelly M.; Jaeger, Paul T; St. Jean, Beth; Library & Information Services; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    Neurodivergent people consistently face less optimal outcomes than neurotypical people in education, their careers, and other areas of life. Anecdotally, personal knowledge management (PKM) is a useful tool for neurodivergent individuals. However, there is sparse research involving the information practices of neurodivergent adults in the field of library andinformation science (LIS). A survey with both close-ended and open-ended questions, partially based on Dervin's Sense-Making Methodology (Dervin, 1992, 2000), was distributed online and received over 300 self-identifying neurodivergent participants. The results indicated that neurodivergent people use PKM most heavily in the Learning, Job, and Everyday domains for the purposes of Managing Tasks and Projects, Building Knowledge, Creating, and Self-Improvement. Common PKM activities engaged included Storing Information and Using It Later, Remembering What Needs to be Done, Understanding and Ideating, and Planning and Prioritizing. The most helpful benefits of PKM that were described were Connecting Ideas, Improving Thinking, and Having Fun. Overall, key themes regarding neurodivergent individuals’ PKM usage included Reducing Stress, Memory, and Externalizing. These findings provide a foundation for a much-needed LIS research agenda exploring the PKM practices of neurodivergent adults.
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    Data rescue: An assessment framework for legacy research collections
    (2020-09-30) Hoffman, Kelly M.; Clarke, Cooper T.; Shiue, Hilary Szu Yin; Nicholas, Phillip; Shaw, Miranda; Fenlon, Katrina
    Widespread investments in the reproducibility and reuse of scientific data have spurred an increasing recognition of the potential value of data biding in unpublished records and collections of legacy research materials, such as scientists’ papers, historical publications, and working files. Recovering usable scientific data from legacy collections constitutes one kind of data rescue: the application of selected data curation processes to data at imminent risk of loss. Given the growing interest in data-intensive science and growing movement toward computationally amenable collections in memory institutions, the National Agricultural Library and other curation institutions need systematic approaches to processing legacy collections with the specific goal of retrieving reusable or historically valuable scientific data. This white paper reports on research conducted under the auspices of the Digital Curation Fellows Program, a collaborative research initiative of the United States Department of Agriculture’s National Agricultural Library and the University of Maryland College of Information Studies. We offer a framework for assessing collections of scientific records for the purpose of data rescue, developed through research on three case studies of agricultural research collections. This framework aims to guide data rescue initiatives at the National Agricultural Library and other agricultural research centers, and to provide conceptual and practical framing for emerging conversations around data rescue in the agricultural research community and across disciplines.