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Data Management

The USGS operates as a dedicated team continuously amassing and disseminating large amounts of information. 

The primary goal of Data Management (DM) is to optimize and maintain the order, security, and accessibility of data. Within this framework, CEGIS contributes by researching novel approaches for handling specialized information types such as geospatial and cartographic data

Filter Total Items: 6

Integration

USGS geospatial data comes in many formats and in many scales. It could be the notes of a surveyor mapping the Colorado River in the nineteenth century or the measurement of the atmosphere from a contemporary weather balloon. An important role of DM is integrating the diverse information and making it useable to various users. Data Integration research at CEGIS primarily involves integrating data...
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Integration

USGS geospatial data comes in many formats and in many scales. It could be the notes of a surveyor mapping the Colorado River in the nineteenth century or the measurement of the atmosphere from a contemporary weather balloon. An important role of DM is integrating the diverse information and making it useable to various users. Data Integration research at CEGIS primarily involves integrating data...
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Catalog/convey

Effective cataloging of our data is what makes it findable for users and systematic search. Data conveyance, or movement internally and externally, is imperative to ensuring validity and rate of access to our information, as well as optimizing resources like labor required or network access.
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Catalog/convey

Effective cataloging of our data is what makes it findable for users and systematic search. Data conveyance, or movement internally and externally, is imperative to ensuring validity and rate of access to our information, as well as optimizing resources like labor required or network access.
Learn More

Big data

Big data typically refers to data sets that are too large to be dealt with by traditional data-related software. It can be difficult to move around, to maintain, to search, and to use effectively. Improved scientific instruments, increasing volume and lifecycle of sensors, and the passage of time all contribute to making the conveyance, cataloging, and analysis of large data sets more complex...
link

Big data

Big data typically refers to data sets that are too large to be dealt with by traditional data-related software. It can be difficult to move around, to maintain, to search, and to use effectively. Improved scientific instruments, increasing volume and lifecycle of sensors, and the passage of time all contribute to making the conveyance, cataloging, and analysis of large data sets more complex...
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Supply chain interdependent critical infrastructure restoration

While emergency responses to large-scale natural or man-made disasters are fairly well studies, less attention has been paid to returning an urban environment to its former state of normality (its resiliency). The most recent start-up project at CEGIS involves integrating geospatial data from The National Map and other sources with infrastructure data and supply chain data to model.
link

Supply chain interdependent critical infrastructure restoration

While emergency responses to large-scale natural or man-made disasters are fairly well studies, less attention has been paid to returning an urban environment to its former state of normality (its resiliency). The most recent start-up project at CEGIS involves integrating geospatial data from The National Map and other sources with infrastructure data and supply chain data to model.
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Integration of geophysical data with The National Map data

The geophysical data integration project at CEGIS currently involves leveraging large web-based data sets with local surveys and The National Map in order to extend the range and the resolution of such surveys with a minimum expenditure on additional field time. Most recently this has been applied to the North American Gravity Database.
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Integration of geophysical data with The National Map data

The geophysical data integration project at CEGIS currently involves leveraging large web-based data sets with local surveys and The National Map in order to extend the range and the resolution of such surveys with a minimum expenditure on additional field time. Most recently this has been applied to the North American Gravity Database.
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Integration of under-utilized USGS data sets

This research partition looks at integrating various data sets with The National Map data layers in order to promote scientific endeavors, public safety, economic assets or quality of life. Recent efforts have included:
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Integration of under-utilized USGS data sets

This research partition looks at integrating various data sets with The National Map data layers in order to promote scientific endeavors, public safety, economic assets or quality of life. Recent efforts have included:
Learn More
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