The new service, called 'Dataset Search,' is launched today and will be a companion to Google's academic search service. Organizations that publish data online, such as universities and government agencies, can add metadata tags to web pages to describe their data, including who created the data, when it was published, and how it was collected.

Google artificial intelligence research scientist Natasha Noy assisted in the development of dataset search. She said the goal of the new service is to unify tens of thousands of different online dataset archives. 'We want to make this data discoverable, but the data remains in its original location.'

Currently, the release of data sets is very fragmented. Different scientific fields have their own preferred dataset archives, as do government agencies. Noy pointed out that scientists have long been troubled not knowing where to find data sets, and once they get out of their own circles, things become difficult.

Beijing time on September 6 morning news, Google's goal is to organize and manage the information of the world. The company initially targeted the business network, and currently Google wants to serve the scientific community with a new dataset search engine.

This information will then be catalogued by Google's search engine and combined with information from the knowledge map. For example, if a data set is published by the European Center for Nuclear Research (CERN), information about the research will also be included in the search results.