Exploiting Untapped Information Resources in Earth Science

Abstract:

One of the continuing challenges in any Earth science investigation is the amount of time and effort required for data preparation before analysis can begin. Current Earth science data and information systems have their own shortcomings. For example, the current data search systems are designed with the assumption that researchers find data primarily by metadata searches on instrument or geophysical keywords, assuming that users have sufficient knowledge of the domain vocabulary to be able to effectively utilize the search catalogs. These systems lack support for new or interdisciplinary researchers who may be unfamiliar with the domain vocabulary or the breadth of relevant data available. There is clearly a need to innovate and evolve current data and information systems in order to improve data discovery and exploration capabilities to substantially reduce the data preparation time and effort.

We assert that Earth science metadata assets are dark resources, information resources that organizations collect, process, and store for regular business or operational activities but fail to utilize for other purposes. The challenge for any organization is to recognize, identify and effectively utilize the dark data stores in their institutional repositories to better serve their stakeholders. NASA Earth science metadata catalogs contain dark resources consisting of structured information, free form descriptions of data and pre-generated images. With the addition of emerging semantic technologies, such catalogs can be fully utilized beyond their original design intent of supporting current search functionality. In this presentation, we will describe our approach of exploiting these information resources to provide novel data discovery and exploration pathways to science and education communities