Evaluate systems and technologies relevant to a particular information context.
Metadata refers to the information tags applied to a larger information system, such as the terms in a taxonomy. They work together to form a cohesive system. Learning to evaluate metadata and its systems was one of the most important lessons I learned in my MLIS. Understanding how information is organized on the backend has an immediate positive or negative effect on how that information is found on the users’ end. For LIS 60637 Metadata Architectures & Implementation I created a metadata application profile and five metadata records using information from the Minnesota Historical Society's Americana Quilt Collection.
Academic scholars rely on connections with and collaborations between their academic colleagues in order to further their research and form new theories, advancements, and articles. Web 2.0 provided a new avenue for sharing ideas and data, but the first few decades of the internet did not support knowledge and information representation in any semantic format. The Semantic Web offers scholars an enhanced version of the Web that can support information exchange. The research paper I wrote for KM 60370 Semantic Analysis Methods & Technologies focused on using VIVO as a tool to harness the power of The Semantic Web as a way for scholars to connect with their academic colleagues around the world, share ideas, and exchange innovative solutions.
Content Strategy combines several of my favorite topics information science: taxonomy, knowledge management, and user experience. It refers to the art of maintaining online content so that it is findable, accurate, and effective. For IAKM 60106 Content Strategy I I performed several tasks related to scouring a website for content recommednations, creating a style guide, and writing a comprehensive content governance model to serve as a living document for all current and future content requiremetns.