Statistics – Applications
Scientific paper
May 2005
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005agusmsh51b..16s&link_type=abstract
American Geophysical Union, Spring Meeting 2005, abstract #SH51B-16
Statistics
Applications
2799 General Or Miscellaneous, 9820 Techniques Applicable In Three Or More Fields
Scientific paper
The development of interoperable systems for observation data and model-result interchange can be understood as the need for interoperability among various types and scales of repositories and data discovery/handling/processing/visualization applications used by researchers. Further, the repository systems and researcher applications can be viewed as services that need to be managed and coupled. These services will evolve with a significant degree of independence in the Space Science environment. The requirement to obtain and maintain an acceptable level of interoperability and cooperation among these autonomous and physically distributed systems poses a significant challenge to obtaining and maintaining interoperable Space Science systems. This paper will identify and define several important dimensions for the characterization of Cooperating Space Information Systems. These dimensions will leverage the discussion within the ISO Reference Model for an Open Archival Information System (OAIS) and will include but not be limited to: Degree of centralization of metadata, data and processing service, the cost of joining or leaving the cooperating system, degree of node autonomy, the value and cost of adding semantic services, scalability and degree of schema heterogeneity. Several lead edge implementations of cooperating information systems will be characterized using the defined dimensions. The conclusions and lessons learned will be discussed from the standpoint of Cooperating Space Science systems.
Borne Kirk D.
Reich L. I.
Sawyer D. M.
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