Advancing Strategic Science A Spatial Data Infrastructure Roadmap for the U.S. Geological Survey (2012) / Chapter Skim
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4 A Vision for Optimizing the USGS Spatial Data Infrastructure
4 A Vision for Optimizing the USGS Spatial Data Infrastructure
Pages 62-70
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From page 62... ...
for the USGS would include data standards, modern data-management services, and a set of key application services that are essential for addressing scientific questions. The SDI would also need to consider the importance of data-sharing and data discovery and to have flexible methods for preserving geospatial data for long periods through numerous changes and updates because the ability to document and analyze changes in temporal values on a national scale is of immense scientific and societal value.
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From page 63... ...
Thus, an effective institutional strategy for data-archiving is needed as the third fundamental component of a USGS SDI to support temporal analysis. The USGS has a long history of creating of authoritative spatial datasets and, therefore, data creation is not included in the `discover and share for the long term' mantra that was developed to help the USGS focus on the remaining steps beyond data creation.
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From page 64... ...
OGC standards provide an essential infrastructure for SDIs that are designed to integrate fully onto the Web, and the OGC specification process and products have been adopted by nearly all SDI programs worldwide. Geoscience Markup Language GeoSciML is a major geoscience interoperability standards initiative that is being developed and supported by geological organizations worldwide.
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From page 65... ...
There is an emphasis on integrating data content into business applications and facilitating the transfer of data from business process to another. EDM applies to the management of spatial data resources and other types of scientific and business data, and it commonly tries to address circumstances in which users in organizations or in collaborative environments independently source, model, manage, and store data.
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From page 66... ...
Integrating Diverse Data The types of digital spatial data created, maintained, and produced by USGS scientific teams are diverse. Some data resources are reference-data collections generated by sensors; others, like the Topographic Map Series, are maintained as national collections.
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From page 67... ...
A security and confidentiality policy that addresses every stage of the geospatial data stream, from collection to end user, must be in place. APPLICATION SERVICES TO ENGAGE AND SUPPORT SCIENTIFIC QUESTIONS The data required to understand and model many of the environmental interactions highlighted in the USGS Science Strategy are massive (petabytes)
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From page 68... ...
In some cases, specific USGS elements or teams may need to build new applications to address specific science questions or meet specific mission needs. Using the SDI as a community applications platform would allow users to take advantage of existing applications that perform functions that they need rather than having to develop their own applications.
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From page 69... ...
With the creation of an SDI, the USGS is in a unique position to catalyze linkages between national science organizations and government environmental-assessment efforts, the broad research community, and the public. If properly coordinated and managed, the USGS SDI could provide considerable value to government efforts through data management, application of models, and other analysis tools.
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From page 70... ...
states that federal agencies have a responsibility to "collect, maintain, disseminate, and preserve spatial information such that the resulting data, information, or products can be readily shared with other federal agencies and non-federal users, and promote data integration between all sources." International partnering will be especially challenging. International science collaborators typically express a commitment to data access and data-sharing.
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