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Magnetics Information Consortium (MagIC)
The Magnetics Information Consortium (MagIC) promotes information technology infrastructures for the international paleomagnetic, geomagnetic and rock magnetic communities. Its main product is the MagIC paleomagnetic database which contains data from over four thousand previously published scientific papers. A MagIC founding meeting was held at the Scripps Institution of Oceanography in La Jolla in March of 2002. Two rounds of National Science Foundation funding have ensured that MagIC continues to be upgraded and supported.

History
Three development stages mark MagIC's history. Phase I (2003-2005) focused on an internal review of the MagIC data model, the design of the backend Oracle database, the design of the SmartBooks, the coding of the MagIC Console Software and extensive testing. Also, the PmagPy data analysis software was developed allowing scientists to translate paleomagnetic measurement data into the MagIC format. Phase II (2006-2008) started to focus on the design and implementation of the online drilldown interface, to populate, maintain and optimize the MagIC database, and to implement advanced visualizations in the MagIC web portals. Phase III (2009-present) includes an editorial and reviewing system, using predominantly Flash, Web 2.0, AJAX, and XML in the web and database interfaces, and working toward full interoperability with other online databases using web services.

Database
The online MagIC database is a relational database with a filtering paradigm for searching. All contributions to the database are shown by author and then filters can be applied to narrow the search. Data included in the database must be published in the scientific literature. Unpublished data sets can be uploaded into the database, but they are kept private and not seen by the general public. These private data sets can be shared with others via a group name and password. Anyone is able to upload data sets associated with published papers, but the author(s) of the paper can assume ownership of the data at any time.