Engineering topics
Publications and source records attributed to Handley, T. Jr..
The basic questions addressed in this paper are how to avoid future surprise growth in Mission Operations and Data Analysis (MO&DA) costs, and how to minimize total MO&DA costs for planetary missions. The context of this paper and its conclusions is in the arena of JPL mission operations support. The fundamental conclusion is that there is no simple, single solution: the entire Project life-cycle must be addressed.
The DataHub addresses four areas of significant need: scientific visualization and analysis; science data management; interactions in a distributed, heterogeneous environment; and knowledge-based assistance for these functions. The fundamental innovation embedded within the DataHub is the integration of three technologies, videlicet knowledge-based expert systems, science visualization, and science data management. With the DataHub concept, science investigators are able to apply a more complete solution to all nodes of a distributed system.
It is our belief that new modes of research and new tools will be required to handle the massive amount of diverse data that is to be stored, organized, accessed, distributed, visualized, and analyzed. The fundamental innovation required is the integration of three automation technologies, videlicet knowledge-based expert systems, science visualization and science data management. This integration is based on a concept caled the DataHub, which we describe here.