This Wednesday (Sep 5, 2018), Google launched a new search engine named Google Dataset Search. Dataset search allows users to search for datasets multiple repositories present on the Web. Much like kaggle, where you can find and publish high-quality datasets to help you in exploring and building models or science projects with that database. You can connect and learn with many data scientists and machine learning engineers about various problems and new approaches.
In a recent post by Natasha Roy, a Research Scientist in Google AI says,
“Google Dataset Search lets you find datasets wherever they’re hosted, whether it’s a publisher’s site, a digital library, or an author’s personal web page.”
It is very similar to how ‘Google Scholar’ works.
Reach and Transparency –
So, In the new Google data engine, the search presents you the access to these universal datasets including the data from Kaggle, NASA and NOAA spread across the internet. You can search for any type of data like AI, environmental, social science, documental, civic & government data, or more, and all the available information and data will display.
This is different from a typical search engine as in many cases. Information on specific datasets is many times neither linked and nor indexed. That makes the discovery of data vague and tedious. That is why Google came up with a single interface for just the dataset discovery.
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