π3. Create Metadata and Data Dictionary
Metadata is data about data. Metadata describes the datasetβs structure, data elements, its creation, access, format, and content. A data dictionary is a type of metadata that focuses on the data elements.
Metadata is necessary to improve the discoverability of data within the open data portal and on external search engines. The more relevant information the search engine has about your data resources, the easier it will be for users to find.
Without good metadata, datasets are prone to getting lost. Below we define minimum standards and best practices for:
π Resource reminder!
Use the metadata template started in Step 1 to document according to this guide.
Create your metadata
Metadata checklist
Best practices: dataset title content
Do's | Dont's |
Best practices: dataset description content
Do's | Dont's |
Create your data dictionary
A data dictionary is the information you provide that defines the fields in your data and how the data can be used.
Data dictionary checklist
π Additional Resources. Refer to Data Dictionary: What to Include for further guidance on what to include in the data dictionary.
π Best practices: field definitions
Do's | Dont's |
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