Google has unveiled a search engine to help researchers locate online data that are freely available for use. The company launched the service on 5 September, saying that it is aimed at “scientists, data journalists, data geeks, or anyone else”. Dataset Search, now available alongside Google’s other specialized search engines, such as those for news and images — as well as Google Scholar and Google Books — locates files and databases on the basis of how their owners have classified them. It does not read the content of the files themselves in the way search engines do for web pages.
Experts say that it fills a gap and could contribute significantly to the success of the open-data movement, which aims to make data openly available for use and re-use. Government agencies, scientific publishers, research institutions and even individual researchers maintain thousands of open-data repositories around the world, containing millions of data sets.
But researchers who want to know what types of data are available, or who hope to locate data they know already exist, often have to rely on word of mouth, says Natasha Noy, a computer scientist at Google AI in Mountain View, California. This problem is especially serious for early-career researchers who are not already “plugged” into a network of professional connections, Noy says. It’s also a downside for those who do cross-disciplinary research — for example, an epidemiologist who needs access to climate data that could be relevant to the spread of a virus. (…)
Lire la suite : Article de Nature : Google unveils search engine for open data
Lire l’article publié par Google : Making it easier to discover datasets