by Mark Phillips 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 […]
The following workflows depict the step-by-step processes BitCurator Consortium members follow to acquire, process, describe, and store the born-digital materials in their collections. https://www.bitcuratorconsortium.org/workflows
Metadata Workflow Resources For FSU University Libraries These are tools developed my the Metadata Librarian at Florida State University, University Libraries. They are intended to ease the creation of metadata for Florida State University’s Digital Library. All are released with […]
The goal of this document is to provide consistent and easy-to-apply guidance for staff of the Hamilton College Library who are involved in creating digital objects from non-digital original materials. Sections: Selection Planning Curation Digitization Metadata Text Encoding Ingest Metadata […]
Many in the VIVO community use Python for data manipulation and transformation tasks (ETL). petl is a framework for reading data from various sources, transforming it, and passing it along to another source. https://gist.github.com/lawlesst/52c622e172c5ab452d3c
Implementing a Collaborative Workflow for Metadata Analysis, Quality Improvement, and Mapping The University of North Texas (UNT) and the Oklahoma Historical Society (OHS) are collaborating to digitize, process, and make publicly available more than one million photographs from the Oklahoma […]
Metadata Clean Sweep: A Digital Library Audit Project R. Niccole Westbrook, University of Houston Libraries Dan Johnson, University of Houston Libraries Karen Carter, Rutgers School of Communication and Information Angela Lockwood, Texas Women’s University School of Library and Information Studies […]
Metadata Quality Control (Jan 2015) DOI: 10.3318/DRI.2015.1 This short guide discusses the basics of metadata quality control, including why metadata quality matters, problems inherent in poor quality metadata, and steps one can take to improve metadata quality. The guide is […]
Blog post written by the Digital Scholarship Unit, University of Toronto Scarborough Library Lately we’ve been trying to come up with a better way to create metadata for batch ingestion into Islandora. We often work with faculty and other people outside […]
Developed by the Mountain West Digital Library Geospatial Discovery Task Force Best practices developed by the MWDL Geospatial Discovery Task Force for recording geospatial metadata for aggregated harvest. Instructions include recommendations for including place name hierarchy, URI’s, and latitude and […]