- An Introduction to Linked Data
- Bitesize: concrete examples of Linked Data
- Bitesize: how publishing Linked Data improves data findability
- Bitesize: how publishing Linked Data improves data use
- Bitesize: how publishing Linked Data improves understanding of data
- Bitesize: what is Linked Data?
- Bitesize: what Linked Data looks like technically
- Bitesize: why publish Linked Data?
- Glossary of Linked Data
- The benefits of publishing data as Linked Data
- What is Linked Data - Podcast
Bitesize: how publishing Linked Data improves data findability
Created: 21 January 2021 Updated: 02 March 2021
Finding data
People usually find data by following a link to it or by searching for it, whether through a web search engine or a more site specific search.
Linked data allows assigning URLs not just to datasets, but to specific bits of data within that dataset, making it easy to share pointers to data. It is easier to back up reports or charts by citing the data that supports it.
Because everything has a URL, assuming it is publicly accessible on the web, then web search engines like Google, Bing etc are able to index the data and direct users to it. In addition to their mainstream approach of indexing the text on web pages, they are increasingly making use of metadata embedded in web pages to influence search ranking and to enrich how search results are presented. This embedded metadata takes the form of linked data using the schema.org vocabulary.
So, in site-specific searches, it is possible to supplement text based indexes with a more structured search using metadata. Linked data is well suited to linking datasets to standards-based machine readable metadata, helping people find the data they want.
To explore Defra's linked data, go to Defra Data Services Platform. For enquiries about the data, please Ask a Question, Report a Problem or Give Feedback.