tldr: Neatline makes it possible to create separate themes for individual exhibits, which is useful if you want to host a collection of self-contained Neatline projects on a single site. To get started, fork the exhibit starter theme, which abstracts […]
This guide is designed to be a comprehensive introduction to the Neatline project. We’ll walk through the basic steps of installing and configuring Neatline, creating exhibits and records, importing items from your Omeka collection, and publishing your projects to the […]
How to Create (and Keep Creating) a Digitization Workflow by Kat Hagedorn We wanted a workflow because for a while we’d be running into multiple problems with content curation, preservation value, lack of metadata, objects at too low a resolution […]
by Christina Harlow Data munging, or the work of remediating, enhancing and transforming library datasets for new or improved uses, has become more important and staff-inclusive in many library technology discussions and projects. Many times we know how we want […]
by Christina Harlow An OpenRefine reconciliation service for GeoNames. Tested with, working on python 2.7.10, 3.4.3. The service queries the GeoNames API and provides normalized scores across queries for reconciling in Refine. https://github.com/cmh2166/geonames-reconcile
by Liz Woolcott These instructions will outline the basic steps for creating exhibits in Omeka using the Exhibit Builder plugin. Omeka Exhibit Building Tutorial
by Christina Harlow University of Tennessee-Knoxville Metadata Quality Analysis Scripts. A set of metadata harvesting and analysis scripts, largely built off the model/skeleton of Mark Phillips’ wonderful work. https://github.com/cmh2166/metadataQA
by Mark Phillips Simple command line oai-pmh harvester written in Python. https://github.com/vphill/pyoaiharvester
by Mark Phillips Python script for breaking or atomizing OAI-PMH repositories into simpler text formats. https://github.com/vphill/metadata_breakers
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 […]