The Geospatial LoB will identify opportunities for optimizing and consolidating Federal geospatial-related investments to reduce the cost of government and improve services to citizens. Cross-agency coordination of geospatial activities is still lacking and is needed to help identify, consolidate, and/or eliminate redundant investments. The establishment of the Geospatial LoB will result in a more coordinated approach to producing, maintaining, and using geospatial data, and will ensure sustainable participation from Federal partners to establish a collaborative model for geospatial-related activities and investments.
The Department of Homeland Security (DHS), Office of the Chief Information Officer (OCIO),
Geospatial Management Office (GMO) has developed this DHS Geospatial Data Model
(DHS GDM) in support of urgent DHS mission requirements. This DHS GDM is a standards based, logical data model to be used for collection, discovery, storage, and sharing of homeland
security geospatial data. The model will support development of the Department’s services-based
geospatial architecture, and will serve as an extract, transform, and load (ETL) template for
content aggregation.
An interagency conference call / WebEx was held on July 25 for Federal agencies to share geospatial data holdings and websites useful for hurricane preparedness and response. Discussion included response needs and information gaps.
The Geospatial Modernization Blueprint is being created through a planning process that defines how geospatial data and technology will be used to
enhance the business activities of the Department of the Interior (DOI) in support of its mission and goals. All the DOI bureaus are participating in this process to ensure that their missions and goals will also be supported.
The Department of Homeland Security (DHS), Office of the Chief Information Officer (OCIO),
Geospatial Management Office (GMO) has developed this DHS Geospatial Data Model
(DHS GDM) in support of urgent DHS mission requirements. This DHS GDM is a standards based, logical data model to be used for collection, discovery, storage, and sharing of homeland
security geospatial data. The model will support development of the Department’s services-based
geospatial architecture, and will serve as an extract, transform, and load (ETL) template for
content aggregation.
The Department of Homeland Security (DHS), Office of the Chief Information Officer (OCIO),
Geospatial Management Office (GMO) has developed this DHS Geospatial Data Model
(DHS GDM) in support of urgent DHS mission requirements. This DHS GDM is a standards based, logical data model to be used for collection, discovery, storage, and sharing of homeland
security geospatial data. The model will support development of the Department’s services-based
geospatial architecture, and will serve as an extract, transform, and load (ETL) template for
content aggregation.
The Department of Homeland Security (DHS), Office of the Chief Information Officer (OCIO),
Geospatial Management Office (GMO) has developed this DHS Geospatial Data Model
(DHS GDM) in support of urgent DHS mission requirements. This DHS GDM is a standards based, logical data model to be used for collection, discovery, storage, and sharing of homeland
security geospatial data. The model will support development of the Department’s services-based
geospatial architecture, and will serve as an extract, transform, and load (ETL) template for
content aggregation.
GeoPlatform Roadmap v3 Comment Log.xlsx
fgdc-reply-to-NIST-RFI-03-04-2011.pdf
