領域外・複数領域(M)
セッション小記号 地球科学一般・情報地球科学(GI)
セッションID M-GI27
タイトル 和文 Open and FAIR Science: strategies, concepts, infrastructures and opportunities
英文 Open and FAIR Science: strategies, concepts, infrastructures and opportunities
タイトル短縮名 和文 Open and FAIR Science
英文 Open and FAIR Science
代表コンビーナ 氏名 和文 Cecconi Baptiste
英文 Baptiste Cecconi
所属 和文 LESIA, Observatoire de Paris, CNRS, PSL Research University
英文 LESIA, Observatoire de Paris, CNRS, PSL Research University
共同コンビーナ 1 氏名 和文 村山 泰啓
英文 Yasuhiro Murayama
所属 和文 情報通信研究機構 NICTナレッジハブ
英文 NICT Knowldge Hub, National Institute of Information and Communications Technology
共同コンビーナ 2 氏名 和文 近藤 康久
英文 Yasuhisa Kondo
所属 和文 総合地球環境学研究所
英文 Research Institute for Humanity and Nature
共同コンビーナ 3 氏名 和文 Shelley Stall
英文 Shelley Stall
所属 和文 American Geophysical Union
英文 American Geophysical Union
発表言語 E
スコープ 和文
Open Science is a research paradigm, which proved to accelerate scientific innovation. Initiated in the early 2000's by a few communities, Open Science has been shaped through a long maturation through international collaborations, alliances, publications and agreements. Open Science is commonly refering 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. 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 conferences 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, ML/AI data preparation and sharing, e-infrastructures and platforms for sharing data, scientific cloud infrastructures, linked data and semantics, FAIR principles, Persistent Identifiers (PID), data management, citizen science, crowdsourcing, crowdfunding, transdisciplinary research, capacity building, international networking, and deployment in earth, space and planetary sciences.
英文
Open Science is a research paradigm, which proved to accelerate scientific innovation. Initiated in the early 2000's by a few communities, Open Science has been shaped through a long maturation through international collaborations, alliances, publications and agreements. Open Science is commonly refering 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. 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 conferences 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, ML/AI data preparation and sharing, e-infrastructures and platforms for sharing data, scientific cloud infrastructures, linked data and semantics, FAIR principles, Persistent Identifiers (PID), data management, citizen science, crowdsourcing, crowdfunding, transdisciplinary research, capacity building, international networking, and deployment in earth, space and planetary sciences.
発表方法 口頭および(または)ポスターセッション
招待講演 Veronique Stoll (Observatoire de Paris-PSL)
時間 講演番号 タイトル 発表者
口頭発表 5月27日 PM2
15:30 - 15:48 MGI27-01 French Open Science Policy : developing a strategy for structuring, sharing and opening up research data Veronique Stoll
15:48 - 16:03 MGI27-02 オープンサイエンスに関わるG7部会、国内政策および研究コミュニティの議論と国際潮流 村山 泰啓
16:03 - 16:18 MGI27-03 A semantic artefact catalogue for astronomy, planetary sciences and heliophysics Cecconi Baptiste
16:18 - 16:33 MGI27-04 Enhancing Openness and FAIRness of Material Samples Using PIDs Rorie Edmunds
口頭発表 5月28日 AM1
09:00 - 09:15 MGI27-05 Collaboration for open science: a global perspective on disciplinary challenges in the Earth, space, and environmental sciences Shelley Stall
09:15 - 09:30 MGI27-06 FAIR Earth and environmental sciences: challenges and opportunities for improving FAIR principles across-domains. The experience of the FAIR-EASE project Alessandro Rizzo
09:30 - 09:45 MGI27-07 データDOI引用情報に基づく日本の地震津波火山観測データの利用状況の分析 久保 久彦
09:45 - 10:00 MGI27-08 AMIDER: cross-disciplinary research data catalog for open science 小財 正義
10:00 - 10:15 MGI27-09 Research and development in an era of Open Science and competing commercialisation opportunities Pavel Golodoniuc
講演番号 タイトル 発表者
ポスター発表 5月28日 PM3
MGI27-P01 Development of tools for sharing and utilizing the upper atmospheric data 田中 良昌
MGI27-P02 FAIR and Planetary science using Vespa Pierre Le Sidaner
MGI27-P03 ERI Archive of Printed Station and Network Bulletins 加納 靖之
MGI27-P04 Galaxy and FAIR-EASE : Understanding Earth system with FAIR data analysis on an open-source platform Jerome Detoc
MGI27-P05 日本学術会議国際サイエンスデータ分科会の活動について 近藤 康久
MGI27-P06 Opening science from a publisher perspective: data attribution throughout the research workflow Shelley Stall