One of the largest IT tech giant company, Google today launched a new kind of search engine for the purpose of academic researchers and journalists which is merely designed to help them find the data which merely require need more easily.
Dataset Search provides an easy way to provide with an access to “millions of datasets” across thousands of repositories dispersed on the entire web. As of now this tool is currently in beta test mode and is free for anyone to use no matter whosoever it is, but Google research scientist Natasha Noy, who helped to build the tool, has emphasized the particular benefits for data scientists and journalists.
“In today’s world, scientists in many disciplines and a growing number of journalists live and breathe data,” Noy wrote in a blog post. “To enable easy access to this data, we launched Dataset Search, so that scientists, data journalists, data geeks, or anyone else can find the data required for their work and their stories, or simply to satisfy their intellectual curiosity.”
Dataset Search surfaces results from publishers’ sites, digital libraries and authors’ personal web pages, Noy said.
The tool relies on a new schema markup for publishers of datasets that also Google rolled out in July. It is called as “Dataset markup,” it can be used by some of the publishers to describe their data in such a way that Google can understand it and index it properly so it can be found by its search tools.
Google is also encouraging dataset providers to adopt its new schema markup so their content appears in Dataset Search, and the response seems to have been positive. An article in Nature.com noted that numerous universities have already began standardizing their metadata for inclusion in Google’s search results.
Noy said that for now, Dataset Search is best suited for finding datasets in disciplines such as environmental sciences and social sciences, as well as data provided by governments and news organizations.
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