LITA Linked Data Webinar Series

Coding Experiments with MARC and Linked Data

January 14th, 2014

Instructor: Jeremy Nelson
Metadata and Systems Librarian
Tutt Library, Colorado College

About the Instructor

Jeremy Nelson is the Metadata and Systems Librarian at Colorado College, a small private liberal-arts college located in Colorado Springs, Colorado. His previous library professional jobs included Western State University of Colorado and the University of Utah. Prior to earning his Master of Science in Library and Information Science from the University of Illinois at Urbana-Champaign, Nelson worked as a programmer and project manager at a number of different software companies in the financial services and educational sectors.

Contact Information

Tutt Library
1021 N. Cascade Avenue
Colorado Springs, Colorado 80903-3252
Jeremy.Nelson@coloradocollege.edu
Twitter @jermnelson

Background

Expected Outcomes, Tools, Schemas, and the Semantic Web

Expected Outcomes for this Webinar

In this webinar we will be using the Python programming language to manipulate MARC21 and MARCXML into BIBFRAME, Dublin Core, and Schema.org graphs made-up of RDF triples in order to expose this linked data in the form of RDF xml, RDF N-triples, HTML5 RDFa, HTML5 microdata, and JSON Linked Data.

Webinar iPython Notebook

We will be using a web-based interactive computational environment, IPython notebook. This environment is becoming more popular among "big data" and other scientists and engineers building tools around large data-sets. Today we will be using these Python modules:

Schemas, Formats, and Structured Data

Schemas

Formats

Structured Data

Thank-you!

Please e-mail Jeremy Nelson if you have any questions, comments, or any issues with the badges.