Google Dataset Search: This new search engine helps scientists hunt for public data
Google announced the launch of its new “Dataset Search” to help scientists and data journalists alike sift through the data-drenched web easier and quickly find stories between the numbers.Traditionally, datasets are spread far and wide across individual research websites, institutions like NASA and the National Oceanic and Atmospheric Administration — and even data-driven publications like ProPublica. With Dataset Search, Google is aiming to adapt its Google Scholar search scheme to help data geeks and researchers sift through this data in a single search bar.Google AI research scientist Natasha Noy wrote in a blog post: "To create Dataset search, we developed guidelines for dataset providers to describe their data in a way that Google (and other search engines) can better understand the content of their pages. These guidelines include salient information about datasets: who created the dataset, when it was published, how the data was collected, what the terms are for using the data, etc.
"We then collect and link this information, analyze where different versions of the same dataset might be, and find publications that may be describing or discussing the dataset. Our approach is based on an open standard for describing this information (schema.org) and anybody who publishes data can describe their dataset this way. We encourage dataset providers, large and small, to adopt this common standard so that all datasets are part of this robust ecosystem."
Google Dataset Search works in multiple languages with support for additional languages expected to come soon. You can find more information on Google’s official blog post here.
"Simply enter what you are looking for and we will help guide you to the published dataset on the repository provider's site," writes Noy. Also, check out the new search engine in action (see video below).You Might Also Like: Train Your Machine Learning Models on Google’s GPUs for Free — Forever.
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Google announced the launch of its new “Dataset Search” to help scientists and data journalists alike sift through the data-drenched web easier and quickly find stories between the numbers.
Traditionally, datasets are spread far and wide across individual research websites, institutions like NASA and the National Oceanic and Atmospheric Administration — and even data-driven publications like ProPublica. With Dataset Search, Google is aiming to adapt its Google Scholar search scheme to help data geeks and researchers sift through this data in a single search bar.
Google AI research scientist Natasha Noy wrote in a blog post: "To create Dataset search, we developed guidelines for dataset providers to describe their data in a way that Google (and other search engines) can better understand the content of their pages. These guidelines include salient information about datasets: who created the dataset, when it was published, how the data was collected, what the terms are for using the data, etc.
"We then collect and link this information, analyze where different versions of the same dataset might be, and find publications that may be describing or discussing the dataset. Our approach is based on an open standard for describing this information (schema.org) and anybody who publishes data can describe their dataset this way. We encourage dataset providers, large and small, to adopt this common standard so that all datasets are part of this robust ecosystem."
Google Dataset Search works in multiple languages with support for additional languages expected to come soon. You can find more information on Google’s official blog post here.
"Simply enter what you are looking for and we will help guide you to the published dataset on the repository provider's site," writes Noy.
Also, check out the new search engine in action (see video below).
You Might Also Like: Train Your Machine Learning Models on Google’s GPUs for Free — Forever.
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