Data Integration research at CEGIS primarily involves integrating data from The National Map with selected datasets needed to support visualization, analysis, modeling and decision making efforts of the USGS, other government agencies and the general public.
The multidisciplinary nature of modern scientific research requires the analysis of complex data from a variety of sources. Data integration is the key by which these data can be brought together and utilized to promote scientific inquiry.
In a 2007 study entitled Facing Tomorrow’s Challenges (USGS Circular 1309), several strategic actions were recommended for USGS consideration in the decade ahead. These include:
- Develop and implement a comprehensive scientific cataloging strategy that combines existing data sets resulting in an integrated science catalog.
- Identify and support authoritative data sources within USGS programs and encourage development and adoption of standards.
- Identify and leverage national and international efforts that promote comprehensive data and information management and foster greater sharing of knowledge and expertise.
- Partner with collaborators and customers to facilitate data integration across worldwide science communities
- Partner in the development of informatics tools and infrastructure that contribute to the evolving global science computing and collaboration platform.
Towards these ends, the goal of data integration research at CEGIS is to develop methods to combine data from The National Map with selected datasets necessary to support visualization, analysis, modeling and decision-making efforts within the USGS, other government agencies and the general public.