Federal Highway Administration is looking for partners who can provide a no-cost option for transforming its datasets into an easy access, cloud-based format.
More than 30 teams are participating in the Global City Teams Challenge, pursuing projects related to integrating the Internet of Things into public safety, energy and transportation applications.
CyberGIS is a geospatial-specific infrastructure that manages, processes and visualizes massive and complex geospatial data, while performing associated analysis and simulation.
A global study discovers that organizations suffer from three common data quality errors: incomplete or missing data, outdated information and inaccurate data.
Data analysts and engineers who know how to use the advanced, recently developed tools of big data typically can pull in high salaries.
Buckle up because the Internet of Things is about to take off fast. Here's a quick list of the basics of the new super network.
While 'big data' was useful at one point in encapsulating the idea of exploiting huge volumes of structured and unstructured information, many feel the term is past its sell-by date.
While geographic information systems have become well established in the federal government, the current challenge for agencies is to integrate their data with that from their counterparts in other jurisdictions.
Government agencies are making strides testing uses of big data to predict risks of disease or the path of a killer virus, but hurdles remain, including linking legacy datasets and setting up common vocabularies.
The Office of Federal Student Aid looks for new and unconventional data models to determine the credit worthiness of its loan applicants.
Researchers at Oak Ridge National Lab used three diverse high-performance computing architectures to analyze publicly available health-related datasets.
The elevation data will better enable scientists to monitor the impact of sea-level rise, conduct environmental monitoring activities and support local decision making.
The Case Advice app pulls data from a variety of back-office systems and makes it available to case workers while they’re in the field.
The economic development agency plans to expand its uses of data analytics and visualization technologies in order to convert more data into actionable information.