PROGRAM: P-12

Title:

REPRODUCIBLE AND SHAREABLE DATA VISUALIZATION METHOD
K Imai1*, Y Murayama2, K Ebisawa3, D Ikeda4, D Seguchi5
*1National Institute of Information and Communications Technology
2National Institute of Information and Communications Technology
3Japan Aerospace Exploration Agency, Institute of Space and Astronautical Science
4,5Graduate School of Information Science and Electrical Engineering, Kyushu University

Abstract:

Data management technology is becoming more and more important to promote scientific development in the society brimming with data. We improved the data visualization web service of earth, planetary and space sciences (Cross-Cutting Comparisons; C3 [Imai et al., 2016]) as the system controlled by the human-understandable query string (QS) to make reproducible and shareable charts.

All the charts have a QS in an address bar. On the World Wide Web, a QS is the part of a uniform resource locator (URL), which follows a separating character, usually a question mark (?) in a URL. The structure of the QS of C3 is as follow: header + selection + extraction + (analytic method). The QS consists of three parts separated by plusses (+). The header part includes information of language of the chart and the system version of C3, the selection part has information of metadata and figure type. The information of data extraction (e.g., time period, location and altitude) is described in the extraction part.

By explicitly showing the inputted setting in an orderly manner in the QS, it is easy to understand how the chart is made.By including information of data handling procedures in the QS in an orderly manner, the chart is easy to understand, remake and share via text-based communication tools.

Acknowledgements:

C3 is maintained by the Center for Science-satellite Operation and Data Archive (C-SODA) at the Institute of Space and Astronautical Science (ISAS), Japan Aerospace Exploration Agency (JAXA). This work was supported by JSPS KAKENHI Grant Number 15H02787.

References:

Standard journal article
Imai, Koji, et al. "Quick look service for geoscience." Journal of Space Science Informatics Japan, Vol. 5 (2016): 93-109.