Spatial Data Management Through Metadata: Global Concepts, Formats, Tools and Requirements
In an age of increasing technological abilities and access to information, metadata represents a critical element in information-sharing environments. Data management is greatly enhanced by the use of metadata standards. It provides for the foundation for data to be used by the public. Metadata assure a consistent way to display information describing datasets and other research. Consequently, the use of metadata standards in spatial data management environments also greatly facilitates data exchange processes. Metadata repositories serve as valuable tools to research data that has already been collected, analyzed, and reviewed because they give users an opportunity to evaluate existing information in order to make informed decisions. Repositories also offer an invaluable opportunity for collaboration between organizations on research projects. Furthermore, the creation of metadata provides a systematic documentation of valuable resources developed by an organization, which benefits the organization by capturing institutional knowledge to be preserved. Records provide a method for maintaining information for future use, and a standard way to share information with data catalogs and clearinghouses.
KeywordsMetadata Standard Metadata Record Metadata Repository Geospatial Dataset Spatial Data Management
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- Ecological Metadata Language: http://knb.ecoinformatics.org/software/eml/
- Federal Geographic Data Committee: www.fgdc.gov
- National Biological Information Infrastructure: www.nbii.gov
- National Oceanic and Atmospheric Administration: www.noaa.gov
- ANZLIC Spatial Land Information Council: http://www.anzlic.org.au/
- International Organization for Standardization: www.iso.org
- GeoSpatial One Stop: http://www.geodata.gov
- Conservation Commons: www.conservationcommons.org
- Wisconsin State Cartographer's Office http://sco.wisc.edu/wisclinc/metatool/mtools.htm
- Environmental Protection Agency: http://geodata.epa.gov/eme.html
- Socio Economic Data and Applications Center (CIESIN): http://sedac.ciesin.columbia.edu/metadata/