Completed Courses

Browse through our completed courses and explore the insights and expertise shared by our instructors.

Practical Data Serialization for Metadata

This course is a hands-on workshop designed for practitioners and researchers who work with metadata in describing and representing information resources in digital and/or physical forms. The course provides an overview of fundamentals for data serialization formats—XML, JSON, and CSV—commonly used in metadata workflows, alongside practical strategies and examples for processing and transforming metadata between formats. By completing this course, participants will gain practical experience using tools such as OpenRefine and online parsers to clean and convert metadata, as well as skills to efficiently manage, transform, and share metadata for improved interoperability and reuse.

Instructor

Inkyung Choi

Fee: $25 for DCMI & ASIST members, $100 for others

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Inaugural Webinar: Metadata, Linked Data, and AI

As powerful and useful as AI and ML tools, there are risks in applying them if they are not sufficiently explainable, robust, transparent, or not stick to the fairness and privacy principles, which can seriously jeopardize the trustworthiness of AI. Metadata and linked data technologies and methods play an important role in capturing, linking, and documenting the data (input & output), parameters, models, environment configurations, and versions of data and models. All of these contribute to the trustworthiness of AI. This presentation reviews the requirements for trustworthy AI as well as metadata categories that have been used in representing trustworthy AI. Through examples, issues and challenges will be discussed for AI applications in metadata generation/creation.

Presenter

Jian Qin

Fee: Free

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