15:30 〜 15:45
*Maria Salama1,3、Gordon S. Blair2,1,3 (1.Lancaster University, UK、2.UK Centre for Ecology and Hydrology (UKCEH), UK、3.Centre of Excellence for Environmental Data Science (CEEDS), UK)
[E] 口頭発表
セッション記号 M (領域外・複数領域) » M-GI 地球科学一般・情報地球科学
2022年5月24日(火) 15:30 〜 17:00 201A (幕張メッセ国際会議場)
コンビーナ:村山 泰啓(情報通信研究機構 NICTナレッジハブ)、コンビーナ:Cecconi Baptiste(LESIA, Observatoire de Paris, CNRS, PSL Research University)、近藤 康久(総合地球環境学研究所)、コンビーナ:Stall Shelley(American Geophysical Union)、Chairperson:Yasuhiro Murayama(NICT National Institute of Information and Communications Technology)、Cecconi Baptiste(LESIA, Observatoire de Paris, CNRS, PSL Research University)
Open Science is widely accepted as a new research paradigm to accelerate scientific innovation. Deployed by ISC-WDS (2008), G8 Open Data Charter (2013), deployment of Research Data Alliance (2013), OECD Global Science Forum's research projects (2016), and G7 Science Ministers' Communique (2017), it commonly refers to the top-down policies making results of publicly-funded research freely available and accessible. Open Science also refers to community-supported bottom-up approaches such as citizen science, crowdfunding, and interdisciplinary research (Kitamoto 2016). Other stakeholders (research institutions, funding agencies, scientific editors, etc) are also fostering open science using tools like data management plans, data citation and the use of persistent identifiers. All these approaches envision the transformation of research process to meet to the FAIR (Findable, Accessible, Interoperable, and Reusable) principles (Wilkinson et al. 2016).
Following the past sessions at the JpGU and AGU Fall Meetings since 2018, this session reviews the current broad spectrum of Open Science in international contexts. The session welcomes a wide range of papers and posters covering (but not limited to) open research data, open source licenses, data papers and journals, data repository, e-infrastructures and platforms for sharing data, scientific cloud infrastructures, FAIR principles, Persistent Identifiers (PID), data management, citizen science, crowdsourcing, crowdfunding, transdisciplinary research, capacity building, international networking, and deployment in earth and planetary sciences.
15:30 〜 15:45
*Maria Salama1,3、Gordon S. Blair2,1,3 (1.Lancaster University, UK、2.UK Centre for Ecology and Hydrology (UKCEH), UK、3.Centre of Excellence for Environmental Data Science (CEEDS), UK)
15:45 〜 16:00
*北本 朝展1、中原 陽子2、島井 博行2、清水 敏之3 (1.国立情報学研究所、2.京都大学、3.九州大学 )
16:00 〜 16:15
*田中 良昌1,2,3、阿部 修司4、新堀 淳樹5、上野 悟6、能勢 正仁5 (1.国立極地研究所、2.情報・システム研究機構 データサイエンス共同利用基盤施設 極域環境データサイエンスセンター、3.総合研究大学院大学、4.九州大学 国際宇宙天気科学・教育センター、5.名古屋大学宇宙地球環境研究所、6.京都大学大学院理学研究科附属天文台)
16:15 〜 16:30
*渡辺 堯1 (1.情報通信機構)
16:30 〜 16:45
*加納 靖之1 (1.東京大学地震研究所)
16:45 〜 17:00
*Yasuhiro Murayama1 (1.NICT Knowldge Hub, National Institute of Information and Communications Technology)