Activities of the Polar Environment Data Science Center of ROIS-DS, Japan

Authors

  • Akira Kadokura Polar Environment Data Science Center, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Tokyo https://orcid.org/0000-0002-6105-9562
  • Masaki Kanao Polar Environment Data Science Center, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Tokyo https://orcid.org/0000-0001-6330-4691
  • Hironori Yabuki Polar Environment Data Science Center, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Tokyo; National Institute of Polar Research, Research Organization of Information and Systems, Tokyo https://orcid.org/0000-0001-6597-1615
  • Yoshimasa Tanaka Polar Environment Data Science Center, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Tokyo https://orcid.org/0000-0001-7276-4868
  • Koji Nishimura Polar Environment Data Science Center, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Tokyo; Research Institute for Sustainable Humanosphere, Kyoto University, Kyoto https://orcid.org/0000-0001-8824-9844

DOI:

https://doi.org/10.5334/dsj-2022-012

Keywords:

Data activity, polar science, open data, data science, polar region

Abstract

The Polar Environment Data Science Center (PEDSC) is one of the centers of the Joint Support-Center for Data Science Research (DS) of the Research Organization of Information and Systems (ROIS), which was established in 2017. The purpose of the PEDSC is to promote the opening and sharing of the scientific data obtained by research activities in the polar region led by the National Institute of Polar Research (NIPR). Activities of the PEDSC have been carried out along a five year plan with the following seven specific tasks since 2017: (1) construction of an integrated database; (2) upgrade and interoperable use of the three existing database systems (NIPR Science Database, Arctic Data archive System (ADS), and Inter-university Upper atmosphere Global Observation NETwork system (IUGONET)); (3) processing of the time-series digital data; (4) processing of the sample data; (5) data publication in the Polar Data Journal; (6) collaboration with external communities; and (7) promoting data science using the database and database system.

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Published

2022-04-20

Issue

Vol. 21 (2022)

Section

Practice Papers

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