領域外・複数領域(M)
セッション小記号ジョイント(IS)
セッションIDM-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