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<CreaDate>20220701</CreaDate>
<CreaTime>12523400</CreaTime>
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<resTitle>Montana Structures and Addresses</resTitle>
</idCitation>
<idAbs>The Montana Structures Framework is a statewide spatial database of primary structures/buildings and addresses in the State of Montana. The Montana Structures Framework is part of the Montana Spatial Data Infrastructure (MSDI). The goal of the Montana Structures Framework is to have a routinely updated statewide database of structures and addresses. Through a federated approach, the project integrates structures data from local, state, federal and private data providers into the standardized Montana Structures Database. For more information about the included datasets, see Source information in the Data Quality Information section of this document or the feature level metadata tables in the database.</idAbs>
<searchKeys>
<keyword>Structures</keyword>
<keyword>Montana</keyword>
<keyword>buildings</keyword>
<keyword>MSDI</keyword>
<keyword>addresses</keyword>
<keyword>Framework</keyword>
<keyword>Montana State Library</keyword>
<keyword>MSL</keyword>
<keyword>Statewide</keyword>
<keyword>MSDI Statewide</keyword>
</searchKeys>
<idPurp>Montana Structures and addresses</idPurp>
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</Data>
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