In Summer 2023, I took Metadata with Dr. Mary Bolin. I chose to take this course specifically because the Digital Services and Emerging Technologies Pathway states, "working in this environment requires technological skills and experience, and understanding of metadata, and an ability to create and manage digital content." The last time I took a course near this topic was in 2009 when I learned about MARC and AACR2, so I knew there had to be new thoughts on the matter.Â
Each of the assignments for this course delve into the innerworkings of different metadata schemas as well as how they are being implemented. It was fascinating to learn about different metadata schemas, but more importantly, it was fantastic to learn how the correct implementation and use of a metadata schema can greatly improve a user's experience and connect them quickly with accurate, relevant, and appropriate information.
This course provides students with opportunties to learn, evaluate, and apply principles of metadata for a variety of digital resources. Topics covered include metadata terminology, content and encoding schemes, applications of metadata standards for different purposes and environments, especially for digital libraries, museums, and other cultural heritage and scholarly digital repositories, and various approaches to metadata creation, storage, management, and dissemination, including harvesting and aggregating. This course will allow students to deepen their knowledge of the organization of information, digital libraries and museums, institutional repositories, content management, and information architecture.
Articulate major issues and problems related to metadata.
Apply current metadata terminology and concepts, including major content and encoding schemes for digital libraries.
Analyze and critically apply different approaches to metadata creation, storage, management, and dissemination within different information communities for different purposes.
Critically analyze and compare different metadata standards and their applicability to different contexts, and apply basic metadata quality metrics to assess the relative quality of different types of descriptive metadata.
Create descriptive metadata for digital resources, and design and plan metadata database templates for digital resources projects.