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Reading: The State of IPY Data Management: The Japanese Contribution and Legacy

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Proceedings Papers

The State of IPY Data Management: The Japanese Contribution and Legacy

Authors:

K Kanao ,

National Institute of Polar Research, Research Organization of Information and Systems, 10-3, Midori-cho, Tachikawa-shi, Tokyo 190-8518, Japan, JP
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A Kadokura,

National Institute of Polar Research, Research Organization of Information and Systems, 10-3, Midori-cho, Tachikawa-shi, Tokyo 190-8518, Japan, JP
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M Okada,

National Institute of Polar Research, Research Organization of Information and Systems, 10-3, Midori-cho, Tachikawa-shi, Tokyo 190-8518, Japan, JP
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T Yamnouchi,

National Snow and Ice Data Center, University of Colorado, 449 UCB, Boulder, Colorado 80309-0449, USA, US
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K Shiraishi,

National Institute of Polar Research, Research Organization of Information and Systems, 10-3, Midori-cho, Tachikawa-shi, Tokyo 190-8518, Japan, JP
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N Sato,

National Institute of Polar Research, Research Organization of Information and Systems, 10-3, Midori-cho, Tachikawa-shi, Tokyo 190-8518, Japan, JP
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M A Parsons

National Snow and Ice Data Center, University of Colorado, 449 UCB, Boulder, Colorado 80309-0449, USA, US
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Abstract

Diverse data accumulated by many science projects make up the most significant legacy of the International Polar Year (IPY 2007-2008). The Polar Data Center (PDC) of the National Institute of Polar Research (NIPR) has a responsibility to manage these data for Japan as a National Antarctic Data Center (NADC) and as the World Data Center (WDC) for Aurora. During the IPY, a significant number of multidisciplinary metadata records were compiled from IPY endorsed projects with Japanese activity. A tight collaboration was established between the Global Change Master Directory (GCMD), the Polar Information Commons (PIC), and the newly established World Data System (WDS).

DOI: http://doi.org/10.2481/dsj.WDS-021
How to Cite: Kanao, K. et al., (2013). The State of IPY Data Management: The Japanese Contribution and Legacy. Data Science Journal. 12, pp.WDS124–WDS128. DOI: http://doi.org/10.2481/dsj.WDS-021
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Published on 14 Mar 2013.
Peer Reviewed

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