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The centralized pattern is characterized by one or more non-overlapping regional sites or authorities that conduct data entry and data quality control for their region. Regional sites also typically perform some regional data analysis designed to support regional operations management and planning. By contrast, the central authority manages the overall data set for the entire country, collecting all regional information in order to perform national planning and produce national statistics.
[[Image:Understanding Configuration Options- Client Server ArchitectureDecentralized Info Exchange.png|center|500px|''ArchitectureDecentralized Info Exchange'']]
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''Client Server ArchitectureDecentralized Info Exchange''
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In the following example, mine action field reports are entered at each regional site for the ongoing operations in that region. Field reports are reconciled, linked and approved according to the regional operations needs. Using the export functionality, the regional sites export data on a regular basis (for example, monthly) and send it to the central authority. (Regional information managers can use the search functionality to export the field reports entered since the last data exchange.) The central authority then imports the maXML files from each site and resolves any issues with the imports as well as performs quality control. When the import is complete, the central authority compiles a set of national statistics and then distributes a complete dataset (in the form of a database backup) to each of the regional sites. The regional sites restore the dataset and then import any data entered since the last export was sent to the central authority. When the backup is restored, regular data entry and exchange can continue, based on a common dataset.
[[Image:Understanding Configuration Options - Standalone ConfigDecentralized Info Management Flow.png|center|500px|''ComparisonDecentralized Info Management Flow'']]
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''Standalone Configuration''Decentralized Info Management Flow
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