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From SkyServer to SciServer.

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Název: From SkyServer to SciServer.
Autoři: Szalay, Alexander S.
Zdroj: Annals of the American Academy of Political & Social Science; Jan2018, Vol. 675 Issue 1, p202-220, 19p
Abstrakt: Twenty years ago, work commenced on the Sloan Digital Sky Survey. The project aimed to collect a statistically complete dataset over a large fraction of the sky and turn it into an open data resource for the world’s astronomy community. There were few examples to learn from, and those of us who worked on it had to invent much of the system ourselves. The project has made fundamental changes to astronomy, and we are now faced with the problem of ensuring that the data will be preserved and kept in active use for another 20 years. In redesigning this very large, open archive of data, we made a system that is able to serve a much broader set of communities. In this article, I discuss what we have learned by rebuilding a massive dataset that is available to an increasingly sophisticated set of users, and how we have been challenged and motivated to incorporate more of the patterns of data analytics required by contemporary science. [ABSTRACT FROM AUTHOR]
Copyright of Annals of the American Academy of Political & Social Science is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Databáze: Complementary Index
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  Data: From SkyServer to SciServer.
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  Data: Annals of the American Academy of Political & Social Science; Jan2018, Vol. 675 Issue 1, p202-220, 19p
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  Data: Twenty years ago, work commenced on the Sloan Digital Sky Survey. The project aimed to collect a statistically complete dataset over a large fraction of the sky and turn it into an open data resource for the world’s astronomy community. There were few examples to learn from, and those of us who worked on it had to invent much of the system ourselves. The project has made fundamental changes to astronomy, and we are now faced with the problem of ensuring that the data will be preserved and kept in active use for another 20 years. In redesigning this very large, open archive of data, we made a system that is able to serve a much broader set of communities. In this article, I discuss what we have learned by rebuilding a massive dataset that is available to an increasingly sophisticated set of users, and how we have been challenged and motivated to incorporate more of the patterns of data analytics required by contemporary science. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Annals of the American Academy of Political & Social Science is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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