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Primary task:
Explore the informatics characteristics of scientific and technical (S&T) data, and current issues and challenges facing their long-term preservation and access. Together we will gain an understanding of the properties of S&T data and the requirements those properties put on information preservation and access practices.
At the end of the course students will:
- Understand the scope of scientific and technical data management practices and issues.
- Understand the Semantic Web and Linked Data initiatives, and their use in managing scientific data.
- Know the basic informatics requirements of long-term management of scientific data collections.
- Have first-hand experience with current and developing areas of research into S&T data management process and practice.
Main themes:
- Scientific and technical data: their description, assessment, and preservation.
- Current Semantic Web and Linked Data initiatives and practices that focus on S&T data.
- Current issues in managing collections of S&T data.
- Hands-on use of semantic markup practices on class papers and reports.
Last Modified: January 11 2012 16:15:06.
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