Physics
Scientific paper
Dec 2009
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009agufmsa43a1604s&link_type=abstract
American Geophysical Union, Fall Meeting 2009, abstract #SA43A-1604
Physics
[1908] Informatics / Cyberinfrastructure, [6699] Public Issues / General Or Miscellaneous, [7924] Space Weather / Forecasting, [7964] Space Weather / Policy
Scientific paper
Space weather, the changes in the near-Earth space environment, is important to a wide range of users as well as the public. These users extend across a wide range of public, commercial, and military organizations. It is hard for the research community to connect to these users in a way that can translate data into knowledge, and knowledge into actionable information. The research community also must work within the confines of academic disciplines and funding organizations. This situation calls for better knowledge management and a virtual organization to support that knowledge. SWIFTER is a concept for a virtual organization that will use knowledge management techniques to help refine data products, leverage the expertise to a wider community, speed the development of new data products, and provide a resource for collaboration between users and researchers. Here we will discuss the discuss the structure and operation of the SWIFTER virtual organization, and how it can enable better transition of research tools to operational assets.
Barnes James R.
Holm J. M.
Morrison Douglas
Paxton Larry J.
Schaefer Robert K.
No associations
LandOfFree
SWIFTER - Space Weather Informatics, Forecasting, and Technology through Enabling Research - and Research to Operations does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with SWIFTER - Space Weather Informatics, Forecasting, and Technology through Enabling Research - and Research to Operations, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and SWIFTER - Space Weather Informatics, Forecasting, and Technology through Enabling Research - and Research to Operations will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1780527