On September 6, Google launched a new search engine for the scientific community that will help them understand millions of datasets online.
The service, called Dataset Search, will help scientists, data journalists and geeks find the data they need for their work and stories - or simply to satisfy their intellectual curiosity.
The new search engine will work as Google Scholar, the company's popular search engine for academic studies and reports.
"Search by dataset allows you to find datasets wherever they are hosted, whether it's an editor site, a digital library or a personal web page," said Natasha Noy, a researcher at Google AI. blog post.
To create a dataset search, Google has developed guidelines for dataset providers to describe their data so that the company (and other search engines) can better understand the content of their pages.
"The guidelines also include essential information datasets: who created the dataset, when it was published of the data, the methodologies used to collect that data, and what terms to use the data, etc." Google is also requesting dataset providers, irrespective of whether they are a small or large organization, to adopt this common standard so that all datasets are part of the robust ecosystem.
Google then collects and links this information, analyzes the different versions of the same dataset, and finds the publications that describe or discuss the dataset.
"We are encouraging dataset providers, large and small, to adopt this common standard so that all datasets are part of this robust ecosystem," said Google.
People can find references to most datasets in environmental and social sciences, as well as data from other disciplines, including government data and data provided by press organizations, such as ProPublica.
Dataset Search works in multiple languages and supports additional languages, Google said.
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