1.3: Human- and Machine-Readability

Make the data both human- and machine-readable.

Other Information:

• Enrich your existing (X)HTML resources with semantics, metadata, and identifiers; • Encode the data using open and industry standards - especially XML - or create your own standards based on your vocabulary; • Make your data human-readable by either converting to (X)HTML, or by using real-time transformations through CSS or XSLT. Remember to follow accessibility requirements; • Use permanent patterned and/or discoverable "Cool URIs"; • Allow for electronic citations in the form of standardized (anchor/id links or XLINKs/XPointers) hyperlinks. These steps will help the public to easily find, use, cite and understand the data. The data catalog should explain any rules or regulations that must be followed in the use of the dataset. Also, the data catalog itself is considered "data" and should be published as structured data, so that third parties can extract data about the datasets. Thoroughly document the parts of the web page, using valid XHTML, and choose easily patterned and discoverable URLs for the pages. Also syndicate the data for the catalog (using formats such as RSS) to quickly and easily advertise new datasets upon publication.

Indicator(s):

Indicator:1

Content