Date of Award
2023
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Computer Science
Committee Chair
Haeyong Chung
Committee Member
Jacob Hauenstein
Committee Member
Letha Etzkorn
Subject(s)
Earth sciences--Data sets, Information visualization, Storytelling
Abstract
To fill in the gap between the data vendors, who want to promote commercial datasets, and Earth Science researchers, who want an accessible method to the valuable datasets, the “Data in Action” story concept has been adopted by the NASA Commercial Smallsat Data Acquisition (CSDA) Program to encourage creating and sharing data information in story form. To aid researchers in exploring similar stories in their fields of interest, this researcher created an “Influence Network” within the “Data in Action” framework. The Influence Network is a data visualization feature which gathers information related to story relationships using a concept called “influence.” The researcher defines this concept based on the number of visits and keyword similarity between stories. By visualizing influence flows between stories, the researcher aims to assist authors in understanding how their readers perceive their stories and advancing their methods to deliver more meaningful stories.
Recommended Citation
Pham, Dan, "Data in action story : sharing and exploring earth science data" (2023). Theses. 452.
https://louis.uah.edu/uah-theses/452