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In general terms, documentation is the supplemental material that provides the information needed to read, understand, identify, and reuse data.
Documentation varies between disciplines, but generally might be presented as: Readme Files, Data dictionaries, Code books, Glossary, Definition files, Lab notebooks, or other supporting documents.
Consider using file types that can be opened without proprietary software. These options include:
Metadata standards vary between disciplines, but is broadly described as "data about data." Metadata provides contextual information surrounding the collected data, indicating the creator, creation date, format, subject, and other important details.
At a minimum, metadata should contain the 15 elements identified by Dublin Core standards (text below is from the Dublin Core guide):
Metadata requirements vary between disciplines and funding sources, however some of the standards are below:
Carmen Mitchell, Scholarly Communication Librarian and Melissa Teetzel, Manager, Grants and Contracts Development have compiled the resources in this guide. Grateful acknowledgement is given to Portland State University Library for allowing us to reuse the content on their Data Management Guide.