This course explores how opening access to data changes the digital humanities project. We will cover the reasons for publishing open data, how we can create open data, and how we can work with open data. We will see how linked open data allows us to share data and incorporate data from other projects. We will learn about data models, data formats, and software tools for working with linked open data. We’ve designed the course to give you the tools you need to incorporate linked data into your projects, whether you’re a software engineer, a project manager, or a subject matter expert.
This course combines lecture and hands-on activities. Consider this offering in relation to the following. Predecessors: Making Choices About Your Data; Race, Social Justice, and DH: Applied Theories and Methods (good for evaluating the vocabularies that we find); Feminist Digital Humanities: Theoretical, Social, and Material Engagements (good for evaluating vocabularies that we find); Queer Digital Humanities: Intersections, Interrogations, Iterations (good for evaluating vocabularies that we find); Databases for Digital Humanists; Fundamentals of Programming/Coding for Human(s|ists). Successors: Introduction to Network Analysis in the Digital Humanities; Ethical Data Visualization: Taming Treacherous Data; Web APIs with Python; Information Security for Digital Researchers; Introduction to IIIF: Sharing, Consuming, and Annotating the World’s Images. Peers: Open Access and Open Social Scholarship; Endings: How to end (and archive) your digital project; XPath for Processing XML and Managing Projects; Agile Project Management. And more!