Metadata are information about the context, content, quality, provenance, and/or accessibility of data. This is the critical information for ensuring the longevity and reproducibility of research data.
Metadata capture a range of information:
Metadata can exist in a variety of different formats. Here are a few examples:
If you are uncertain of which metadata standards may be used in your discipline, the Research Data Alliance Metadata Standards Working Group maintains a directory of metadata standards by discipline, including related tools and use cases.
In addition, if you intend to deposit your data in a data repository, it may have guidelines on what metadata standard(s) should be used to describe deposited data.
Controlled vocabularies are a collection of preferred terms that are used to retrieve content consistently. Predefined and authorized terms are mandated, in contrast to tags or keywords, which are not controlled, thus ambiguous and inconsistent. Taxonomies, thesauri, and ontologies are types of controlled vocabulary.
In some fields, vocabularies are well-established, while in other disciplines, they are still emerging. You may want to check professional societies and journals for ones that have been developed in your disciplinary area. Some examples are:
If you would like assistance in finding, adapting, and using an appropriate vocabulary, please email datamanagement@unl.edu.