Lessons Learned to Date in Developing the Virtual Space Physics Observatory

Details Lessons Learned to Date in Developing the Virtual Space Physics Observatory Lessons Learned to Date in Developing the Virtual Space Physics Observatory

Dec 2005

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005agufmin23c..02c&link_type=abstract

American Geophysical Union, Fall Meeting 2005, abstract #IN23C-02

Physics

2100 Interplanetary Physics, 2700 Magnetospheric Physics (6939), 7900 Space Weather, 9820 Techniques Applicable In Three Or More Fields

Scientific paper

We now have an operational Virtual Space Physics Observatory that provides users the ability to search for and retrieve data from hundreds of space and solar physics data products based on specific terms or a Google-like interface. Lessons learned in building VSPO include: (a) A very close and highly interactive collaboration between scientists and information technologists in the definition and development of services is essential. (b) Constructing a Data Model acceptable to a broad community is very important but very difficult. Variations in usage are inevitable and must be dealt with through translations; this is especially true for the description of variables within data products. (c) Higher-order queries (searches based on events, positions, comparisons of measurements, etc.) are possible, and have been implemented in various systems; currently we see these as being separate from the basic data finding and retrieval services. (d) Building a Virtual Observatory is often more a matter of the tedious details of product descriptions than an exercise in implementing fancy middleware. Paying a knowledgeable third party to build registries can be more efficient than working directly with providers, and automated tools can help but do not solve all the problems. (e) The success of the VO effort in space and solar physics, as elsewhere, will depend on whether the scientific communities involved use and critique the services so that they will come to meet a real need for the integration of resources to solve new scientific problems of perceived importance.

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