日本地球惑星科学連合2019年大会

講演情報

[E] ポスター発表

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

[M-GI31] Open Science in Action: Research Data Sharing, Infrastructure, Transparency, and International Cooperation

2019年5月26日(日) 13:45 〜 15:15 ポスター会場 (幕張メッセ国際展示場 8ホール)

コンビーナ:村山 泰啓(国立研究開発法人情報通信研究機構 戦略的プログラムオフィス)、近藤 康久(総合地球環境学研究所)、Shelley Stall(American Geophysical Union)、Cecconi Baptiste(LESIA, Observatoire de Paris, CNRS, PSL Research University)

[MGI31-P03] Query string-controlled web service for sharable and reproducible data visualization of earth, planetary and space sciences

*今井 弘二1村山 泰啓1 (1.情報通信研究機構)

キーワード:オープンサイエンス、データ可視化、共有、再現、ウェブサービス、クエリ文字列

We propose a new method for sharable and reproducible data visualization on a web browser. Reproducibility is one of the foundations of the scientific method. Reproducible evidence is imperative to build new scientific knowledge. Most natural scientists use figures, graphs, plots or diagrams to understand a phenomenon in detail. Therefore, information and communication technology for reproducible charts needs to promote scientific development. However, it is not easy especially for studies dealing with scientific data of different fields, because each data set is usually stored in a different place and a different format. For this reason, we have been building a web service, Cross-Cutting Comparisons (C3; Imai et al., 2018; doi/10.20637/JAXA-RR-17-009/0001; https://www.darts.isas.jaxa.jp/C3/).
One of the features of C3 is the interactive interface. By the inductive entry form, it is easy to make flexible charts of earth, planetary and space sciences on a web browser. C3 also has a query string (QS)-controllable system which includes information of data handling procedures in the QS in an orderly manner as follow:

(URL of CGI program)?(header)+(data selection)+(data extraction)+(option).

The QS consists of four parts separated by plusses (+): header, data selection, data extraction, and option. The information of data set and figure type is described in the data selection part. The information of data extraction is in the data extraction part. By explicitly showing the inputted setting in an orderly manner in the URL, it is easy to understand how the charts are made. User can make the charts by directly enter the QS in an address bar and also share the QS with text-based communication tools.