Using visual exploratory data analysis to facilitate collaboration and hypothesis generation in cross-disciplinary research

Xiaogang Ma, Daniel Hummer, Joshua J. Golden, Peter A. Fox, Robert M. Hazen, Shaunna M. Morrison, Robert T Downs, Bhuwan L. Madhikarmi, Chengbin Wang, Michael B. Meyer

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

Massive open data resources are changing the way that people do science. To make use of those data resources, data science methods and technology can be leveraged by stakeholders of various disciplines. The objective of this paper is to present our experience of using visual exploratory data analysis as a method to facilitate collaboration and hypothesis generation in geoscience research. The research team consisted of both geoscientists and computer scientists. A use case-driven, iterative approach was applied to create a collaborative and communicative environment. Through several rounds of use case analysis and technological development, a data visualization pilot system was created for studying the co-relationships between chemical elements and mineral species. The exploratory data analyses conducted in those use case studies led to several research hypotheses for future work. This research illustrates the usefulness of exploratory data analysis for hypothesis generation in a data science process. Although the presented project is in geoscience, the discussed method and experience can also be translated into other disciplines.

Original languageEnglish (US)
Article number368
JournalISPRS International Journal of Geo-Information
Volume6
Issue number11
DOIs
StatePublished - Nov 1 2017

Keywords

  • Data science
  • Data visualization
  • Exploratory data analysis
  • Geoinformatics
  • Mineral ecology

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Computers in Earth Sciences
  • Earth and Planetary Sciences (miscellaneous)

Fingerprint Dive into the research topics of 'Using visual exploratory data analysis to facilitate collaboration and hypothesis generation in cross-disciplinary research'. Together they form a unique fingerprint.

  • Cite this

    Ma, X., Hummer, D., Golden, J. J., Fox, P. A., Hazen, R. M., Morrison, S. M., Downs, R. T., Madhikarmi, B. L., Wang, C., & Meyer, M. B. (2017). Using visual exploratory data analysis to facilitate collaboration and hypothesis generation in cross-disciplinary research. ISPRS International Journal of Geo-Information, 6(11), [368]. https://doi.org/10.3390/ijgi6110368