Abstract
Special collections libraries occupy a unique and often contradictory position within the broader ecosystem of cultural heritage institutions. They are tasked with preserving rare, unique, or historically significant materials while simultaneously making those materials accessible to researchers, students, and the public. At the heart of this tension lies metadata, the structured information that enables discovery, contextualization, and long-term preservation of special collections materials. Unlike general library collections, which benefit from standardized bibliographic records and large-scale copy cataloging, special collections present a constellation of metadata challenges that are at once technical, intellectual, and organizational. These challenges include the heterogeneity of materials, the prevalence of unprocessed or partially processed holdings, the need for granular description of provenance and physical condition, and the difficulty of balancing legacy finding aids with modern linked data standards. This article analyzes the most pressing metadata obstacles facing special collections libraries today, drawing on case studies from three academic and one public special collections repository. It then proposes workflow solutions organized around four core principles: interoperability without overstandardization, iterative description that prioritizes researcher access, sustainable staffing models that blend professional and paraprofessional expertise, and the strategic adoption of automation tools such as natural language processing and entity recognition. The argument throughout is that metadata workflows in special collections must abandon the dream of perfect, comprehensive description and instead embrace pragmatic, use-driven practices that accelerate access while preserving the nuanced specificity that makes special collections valuable. The conclusion offers a roadmap for library administrators and metadata practitioners seeking to reform their workflows without sacrificing descriptive rigor.
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