This article discusses metadata analysis tools, processes, and methodologies aimed at helping to focus limited quality control resources on the areas of the collection where they might have the most benefit.
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This article discusses metadata analysis tools, processes, and methodologies aimed at helping to focus limited quality control resources on the areas of the collection where they might have the most benefit.
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12 p.
Notes
Abstract: Over the past few years the University of North Texas Libraries' Digital Projects Unit (DPU) has developed a set of metadata analysis tools, processes, and methodologies aimed at helping to focus limited quality control resources on the areas of the collection where they might have the most benefit. The key to this work lies in its simplicity: records harvested from OAI-PMH-enabled digital repositories are transformed into a format that makes them easily parsable using traditional Unix/Linux-based command-line tools. This article describes the overall methodology, introduces two simple open-source tools developed to help with the aforementioned harvesting and breaking, and provides example commands to demonstrate some common metadata analysis requests. All software tools described in the article are available with an open-source license via the author's GitHub account.
Lessons Learned in Implementing the Extended Date/Time Format in a Large Digital Library, ark:/67531/metadc174739
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