Connecting virtual observatories with visualization and display tools, lessons learned with NASA Worldwind.

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0520 Data Analysis: Algorithms And Implementation, 0525 Data Management, 0530 Data Presentation And Visualization, 1640 Remote Sensing (1855), 9820 Techniques Applicable In Three Or More Fields

Scientific paper

Publishing and releasing a dataset can be as simple as making a submission to a community facility, e.g. NASA DAAC, or as involved as running an in-house data server. Our experience suggests that technologies and methods for building virtual observatories will create unexpected demands on datasets that have been lightly used or used in an order-delivery model. As data are made available with web-services, the demand or pull from data users can increase by factors of 10 or more. In addition this new community of remote users will expect low latency for data delivery and high granularity for rapid downloading and processing. This situation is especially true for visualization tools with embedded query and analysis capabilities that will pull in and display large datasets for a broad array of users. NASA Worldwind is one such tool in the public domain as an open source project with a peak of 257,000 downloads in a single week. While operating the NASA Worldwind project, a wealth of experience was gained in running a data system that provides access to NASA and other federal datasets. Some data are federated while other data had to be hosted on in-house servers due to high traffic volume. Worldwind displays geospatial data, static or dynamic time series, on a globe projection (in or outward looking) and currently supports all planetary bodies out to Saturn and the Sloan Digital Sky Survey. As a front end and user interface, Worldwind can benefit from technologies that publish data but the data pull may require re-hosting datasets on dedicated servers and rethinking how data archives are managed.

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