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Social and Behavioral Sciences Commons™
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Full-Text Articles in Social and Behavioral Sciences
Overcoming Legacy Processing In Photographic Collections Through Collaboration And Digital Technologies., Terri Holtze, Rachel I. Howard, Randy Kuehn, Rebecca Pattillo, Elizabeth E. Reilly
Overcoming Legacy Processing In Photographic Collections Through Collaboration And Digital Technologies., Terri Holtze, Rachel I. Howard, Randy Kuehn, Rebecca Pattillo, Elizabeth E. Reilly
Faculty Scholarship
In the 1960s, a Louisville photography studio began donating its negatives, prints, and invoices to the University of Louisville Photographic Archives. The Caufield & Shook Collection remains a significant primary source for local history and a prime candidate for digitization. Unfortunately, on its receipt non-archivists processed the collection with little documentation of original order or organizational decision making. Additionally, workflow choices were determined largely by the desire to maximize student labor. In 2017, the Digital Initiatives Librarian worked with in-house application developers and archives staff to create a workflow that has significantly sped up the process of making this valuable …
Analysis And Synthesis Of Metadata Goals For Scientific Data, Craig Willis, Jane Greenberg, Hollie C. White
Analysis And Synthesis Of Metadata Goals For Scientific Data, Craig Willis, Jane Greenberg, Hollie C. White
Faculty Scholarship
The proliferation of discipline-specific metadata schemes contributes to artificial barriers that can impede interdisciplinary and transdisciplinary research. The authors considered this problem by examining the domains, objectives, and architectures of nine metadata schemes used to document scientific data in the physical, life, and social sciences. They used a mixed-methods content analysis and Greenberg’s (2005) metadata objectives, principles, domains, and architectural layout (MODAL) framework, and derived 22 metadata-related goals from textual content describing each metadata scheme. Relationships are identified between the domains (e.g., scientific discipline and type of data) and the categories of scheme objectives. For each strong correlation …