日本地球惑星科学連合2022年大会
セッション概要| 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-GI30 | |||
| タイトル | Open Science with FAIR Science Data Sharing and Management and e-Infrastructures | |||
| タイトル短縮名 | Open Science and e-Infrastructures | |||
| 開催日時 | 口頭セッション | 5/24(火) PM1 |
現地会場 | |
| 現地ポスターコアタイム | 5/24(火) PM3 | |||
| 代表コンビーナ | 氏名 | 村山 泰啓 | ||
| 所属 | 情報通信研究機構 NICTナレッジハブ | |||
| 共同コンビーナ 1 | 氏名 | Cecconi Baptiste | ||
| 所属 | LESIA, Observatoire de Paris, CNRS, PSL Research University | |||
| 共同コンビーナ 2 | 氏名 | 近藤 康久 | ||
| 所属 | 総合地球環境学研究所 | |||
| 共同コンビーナ 3 | 氏名 | Shelley Stall | ||
| 所属 | American Geophysical Union | |||
| セッション言語 | E | |||
| 』スコープ |
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. |
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| 発表方法 | 口頭およびポスターセッション | |||
| 共催情報 | 学協会 | - | ||
| ジョイント | AGU, EGU | |||