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Google has announced a new search engine that could help scientists, data journalists, policy makers and other user groups find the datasets they need for their work.
The data search platform, launched Wednesday, launches the millions of Web-based data repositories for the desired datasets. He is particularly interested in the publishers' websites, digital libraries and the author's personal web pages. But it relies on dataset editors to properly label their datasets with the appropriate information or metadata tags, as they are called.
Google AI Researcher Natasha Noy wrote in a blog post: "To create a search by dataset, we have developed guidelines for dataset providers describe their data so that Google (and other search engines) can better understand the content of their pages. These guidelines include essential information about datasets: who created the dataset, when it was published, how the data was collected, what terms were used to use the data, and so on.
"We then collect and link this information, analyze different versions of the same dataset, and find the publications that describe or discuss the dataset. Our approach is based on an open standard for describing this information (schema.org) and anyone who publishes data can describe their data set in this way. We encourage providers of data sets, large and small, to adopt this common standard so that all data sets are part of this robust ecosystem. "
The Google Dataset Search Beta website (available in multiple languages) is available here.
"Simply enter what you are looking for and we will help you access the dataset published on the repository provider's site, "writes Noy.
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Google has announced a new search engine that could help scientists, data journalists, policy makers and other user groups find the datasets they need for their work.
The data search platform, launched Wednesday, launches the millions of Web-based data repositories for the desired datasets. He is particularly interested in the publishers' websites, digital libraries and the author's personal web pages. But it relies on dataset editors to properly label their datasets with the appropriate information or metadata tags, as they are called.
Google AI Researcher Natasha Noy wrote in a blog post: "To create a search by dataset, we have developed guidelines for dataset providers describe their data so that Google (and other search engines) can better understand the content of their pages. These guidelines include essential information about datasets: who created the dataset, when it was published, how the data was collected, what terms were used to use the data, and so on.
"We then collect and link this information, analyze different versions of the same dataset, and find the publications that describe or discuss the dataset. Our approach is based on an open standard for describing this information (schema.org) and anyone who publishes data can describe their data set in this way. We encourage providers of data sets, large and small, to adopt this common standard so that all data sets are part of this robust ecosystem. "
The Google Dataset Search Beta website (available in multiple languages) is available here.
"Simply enter what you are looking for and we will help you access the dataset published on the repository provider's site, "writes Noy.
