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    <identifier>10.11922/sciencedb.01262</identifier>
    <datestamp>2021-10-21T19:59:08Z</datestamp>
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  <dc:date>2021-10-21</dc:date>
  <dc:title>Technology and systems of scientific big data management</dc:title>
  <dc:identifier>doi:10.11922/sciencedb.01262</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This report was released by Prof.&amp;nbsp;Zhou Yuanchun at the 27th China Computer Agricultural Applications Symposium. The report mainly analyzes the main characteristics and requirements of scientific big data, and focuses on the high-throughput scientific big data pipeline technology and system, the fusion management technology and system of large-scale multivariate and heterogeneous scientific data, the big data management and processing in supporting disciplines, scientific data publishing &amp;amp; sharing and other practices. Finally, this report discusses the future development from the following aspects：open sharing and data security, independence and leadership of scientific data software, and it supports for scientific research innovation under the new paradigm.</dc:description>
  <dc:subject>scientific big data; scientific big data management; The 27th China Computer Agricultural Applications Symposium</dc:subject>
  <dc:creator>Yuanchun Zhou</dc:creator>
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  <dc:publisher>Science Data Bank</dc:publisher>
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