Japan Geoscience Union Meeting 2018

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[EE] Evening Poster

M (Multidisciplinary and Interdisciplinary) » M-GI General Geosciences, Information Geosciences & Simulations

[M-GI23] Open Science as a New Paradigm: Research Data Sharing, Infrastructure, Scientific Communications, and Beyond

Wed. May 23, 2018 5:15 PM - 6:30 PM Poster Hall (International Exhibition Hall7, Makuhari Messe)

convener:Yasuhiro Murayama(Strategic Program Produce Office, National Institute of Information and Communications Technology), Yasuhisa Kondo(Research Institute for Humanity and Nature), Baptiste Cecconi(LESIA, Observatoire de Paris, CNRS, PSL Research University, 共同), Sean Toczko(Japan Agency for Marine-Earth Science and Technology)

[MGI23-P07] Collaboration between data repository and data Journal -Case of National Institute of Polar Research-

*Hironori Yabuki1,2 (1.National Institute of Polar Research, 2.Joint Support-Center for Data Science Research)

Keywords:data repository, data Journal, Arctic Data archive System (ADS)

The National Institute of Polar Research (NIPR) has acquired a wide variety of polar science data through Japanese Antarctic Research Expedition and Arctic research. The data published have been carried out through a "JARE date reports" and "NIPR Arctic Data Reports". Arctic Data archive System (ADS) was also developed as a data management and publishing system. Furthermore the ADS, also started giving data DOI as a system for providing a permanent link to the published data. In NIPR, data subject to quality control was targeted as a condition for giving data DOI. In order to guarantee the quality of data, NIPR discussed utilization of peer review framework in data journal and reconsidered the role of "JARE date reports" and "NIPR Arctic Data Reports", and launched a new data journal "Polar Data Journal (PDJ)" with the aim of distributing quality-controlled actual data. ADS plays a role as the main data repository of "Polar Data Journal". Collaboration between PDJ and ADS contributes to the evaluation of scientific data as scientific assets and research achievements, and it will contribute to the promotion of open science.