領域外・複数領域(M) | |||
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セッション小記号 | ジョイント(IS) | ||
セッションID | M-IS18 | ||
タイトル | 和文 | Data Integration: Enabling the Acceleration of Science Through Collaboration and Convergent Science | |
英文 | Data Integration: Enabling the Acceleration of Science Through Collaboration and Convergent Science | ||
タイトル短縮名 | 和文 | Data Integration | |
英文 | Data Integration | ||
代表コンビーナ | 氏名 | 和文 | Shelley Stall |
英文 | Shelley Stall | ||
所属 | 和文 | American Geophysical Union | |
英文 | American Geophysical Union | ||
共同コンビーナ 1 | 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 | ||
発表言語 | E | ||
スコープ | 和文 | Earth, space, and environmental scientists are pushing the boundaries of human understanding of our complex world. They seek and use larger and more varied data in their research with a growing need for data integration and synthesis across and among scientific domains. Tools, services, and data skills are critical resources to the research ecosystem in order to enable the harmonization and integration of data with different temporal and spatial ranges. This session explores the challenges, successes, and best practices that the data community has for using data from multiple sources and scientific domains with unfamiliar formats, vocabularies, quality, and uncertainty, or in providing support and services for accessing these data. The session will begin with a keynote talk (invited) followed by four to five lightning talks (5 minutes each) highlighting use cases, and ending with a discussion. Participants are encouraged to engage in active discussion on this emerging topic for our community. | |
英文 | Earth, space, and environmental scientists are pushing the boundaries of human understanding of our complex world. They seek and use larger and more varied data in their research with a growing need for data integration and synthesis across and among scientific domains. Tools, services, and data skills are critical resources to the research ecosystem in order to enable the harmonization and integration of data with different temporal and spatial ranges. This session explores the challenges, successes, and best practices that the data community has for using data from multiple sources and scientific domains with unfamiliar formats, vocabularies, quality, and uncertainty, or in providing support and services for accessing these data. The session will begin with a keynote talk (invited) followed by four to five lightning talks (5 minutes each) highlighting use cases, and ending with a discussion. Participants are encouraged to engage in active discussion on this emerging topic for our community. | ||
発表方法 | 口頭および(または)ポスターセッション |