Researchers in nearly every domain of the campus community are producing, manipulating, or analyzing data and digital objects as part of their research. With this increase in data production and use, researchers have identified a need to describe their data in order to make it discoverable in repositories, understandable in context, and reusable by other researchers. There are also grant requirements from federal funding agencies which require that datasets produced by or used in research be deposited and made accessible.
This guide provides a basic introduction to tools, resources, standards, and support for metadata and data documentation. For additional information, or to schedule a consultation on metadata and data documentation for your research, contact Matt Carruthers, Metadata Engagement Librarian, University of Michigan Library.
Metadata describes the content, quality, condition, and other characteristics of data. Metadata is generally standardized, structured information that facilitates functions associated with data, such as: