Customizing the structure and format of scientific data facilitates the publication of diverse and heterogeneous data. Many data publishing platforms empower users to create self-designed schemas, ...

Assuring data quality should be one of the most important goals for IT professionals. This is truer today than it has ever been as organizations rely on data to power their AI and machine learning ...

The increasing use of schemaless data systems has intensified the need for reliable methods to assess the quality of extracted schemas intended for downstream tasks such as data integration, query ...

Creating and managing structured data can be challenging and time-consuming. One simple error in your JSON code can prevent your structured data from validating in ...

Google announced that it's scaling back support for seven structured data types to "simplify the search results page." This move reflects Google's continuous effort to enhance its results pages for ...

The folks over at Schema.org are now providing aggregate usage statistics for Schema.org terms across the public web. This will show you how many domains are using a specific schema/structured data ...