Database journalism or structured journalism is a principle in information management whereby news content is organized around structured pieces of data, as opposed to news stories.

Communication scholar Wiebke Loosen defines database journalism as "supplying databases with raw material - articles, photos and other content - by using medium-agnostic publishing systems and then making it available for different devices."

Some argue that such organization allows for a more efficient workflow. Reginald Chua, Editor of data and innovation at Thomson Reuters, talk of structured journalism as a means to "maximize the shelf-life of news content" and "extracting more value" out of content.

Computer programmer Adrian Holovaty wrote what is now considered the manifesto of database journalism in September 2006. In this article, Holovaty explained that most material collected by journalists is "structured information: the type of information that can be sliced-and-diced, in an automated fashion, by computers". For him, a key difference between database journalism and traditional journalism is that the latter produces articles as the final product while the former produces databases of facts that are continually maintained and improved.