Bioschemas: schema.org for the Life Sciences

Websites are commonly used to expose data to end users, enabling search, filter, and download capabilities making it easier for users to find, organize and obtain data relevant to their own interests. With the continuous growth of data in the Life Sciences domain, it becomes difficult for users to easily find information required for their research on one single website. Search engines should make it easier for researchers to search and retrieve collated information from multiple sites so they can better decide where to go next. Schema.org is a collaborative project providing schemas for semantically structuring data in web pages. By adding semantic mark-up it becomes easier to determine whether a web page refers to a book or a movie. It also facilitates summarizing information in a fashion similar to infoboxes used in Wikipedia. Bioschemas is a community effort aiming to extend schema.org to support mark-up for Life Sciences websites. Here we present an overview of the main types used and proposed by Bioschemas in order to support such mark up.