معرفی
Brian Young is the Head and Associate Professor of Scholar Support and Data Services at the University of Mississippi's J. D. Williams Library. He serves as the School of Engineering liaison and plays a key role in collection development, research support, and information literacy instruction. His responsibilities include leading data services, teaching first-year writing courses, and providing virtual reference support.
His research focuses on scholarly communication, library collections, and the tensions between access and sustainability in academic libraries. Key areas include data literacy education, open educational resources (OER), user behavior analysis, and innovative instructional methods such as gamification. He has developed numerous research guides across engineering, sciences, and humanities disciplines.
Brian’s recent publications reflect a strong trend in user-centered library services, assessment methodologies, and pedagogical innovation. His work explores how students and faculty interact with library resources, evaluates new collection models like PDA/DDA, and experiments with creative outreach such as Dungeons & Dragons-themed library instruction modules.
He actively contributes to library science through peer-reviewed research but no formal scientific awards are listed in the available materials.
In his advisory and service roles, Brian supports faculty through OER assessment, provides research consultations, and leads instructional initiatives. He teaches information literacy in first-year writing and engineering programs, and supports graduate students across disciplines. Though not explicitly stated, his leadership in Scholar Support and Data Services implies oversight of related programs and staff. He does not appear to advise formal thesis or dissertation students, based on available data.
Brian is involved in the Methods & Analysis Lab and supports data services across campus. His work integrates with the Research and Instruction Services department, where he contributes to instruction and reference. While no independent lab or research team is named, his role suggests leadership in shaping institutional data literacy and research support infrastructure.
