“By November, all the universities we’re working for had their stuff marked up,” Hahnel says. (Figshare is operated by the Holtzbrinck Publishing Group, which also has a majority share in Nature’s publisher.) Given Google’s dominance in web searching, news that the company was moving into the data ecosystem quickly prompted major players to fall in line and standardize their metadata, says Mark Hahnel, chief executive of the data-sharing company Figshare in London. The Google team also developed a special algorithm for ranking datasets in search results.
To aid search engines in indexing existing data sets, Noy and Brickley wrote, those who own the data sets should ‘tag’ them, using a standardized vocabulary called, an initiative founded by Google and three other search-engine giants (Microsoft, Yahoo and Yandex), and which Brickley manages.
The second is to rank those indexed pages, so that when a user enters search terms, the engine can provide results in order of relevance. The first is to index the available pages by continuously trawling the Internet. Typical search engines work in two main stages. Noy and her Google colleague Dan Brickley first described a strategy for solving that problem in a blog post in January 2017. 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.
#LIST THREE OF THE SPECIALIZED SEARCH ENGINES THAT GOOGLE OFFERS FOR LOCATING SCHOLARLY SOURCES PROFESSIONAL#
This problem is especially serious for early-career researchers who are not already “plugged” into a network of professional connections, Noy says. Government agencies, scientific publishers, research institutions and even individual researchers maintain thousands of open-data repositories around the world, containing millions of data sets.īut 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. It does not read the content of the files themselves in the way search engines do for web pages.Įxperts 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. The company launched the service on 5 September, saying that it is aimed at “scientists, data journalists, data geeks, or anyone else”.ĭataset 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. Google has unveiled a search engine to help researchers locate online data that are freely available for use.
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