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Can I read Environmental data management at NOAA : archiving, stewardship, and access on EtoBox?
Environmental data management at NOAA : archiving, stewardship, and access by Committee on Archiving and Accessing Environmental and Geospatial Data at NOAA, Board on Atmospheric Sciences and Climate, Division on Earth and Life Studies, National Research Council of the National Academies is a nonfiction available to read on EtoBox.
What is Environmental data management at NOAA : archiving, stewardship, and access about?
The National Oceanic and Atmospheric Administration (NOAA) collects, manages, and disseminates a wide range of climate, weather, ecosystem and other environmental data that are used by scientists, engineers, resource managers, policy makers, and others in the United States and around the world. The increasing volume and diversity of NOAA's data holdings - which include everything from satellite images of clouds to the stomach contents of fish - and a large number of users present NOAA with substantial data management challenges. NOAA asked the National Research Council to help identify the observations, model output, and other environmental information that must be preserved in perpetuity and made readily accessible, as opposed to data with more limited storage lifetime and accessibility requirements. This report offers nine general principles for effective environmental data management, along with a number of more specific guidelines and examples that explain and illustrate how these principles could be applied at NOAA.
Who reads Environmental data management at NOAA : archiving, stewardship, and access?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Committee on Archiving and Accessing Environmental and Geospatial Data at NOAA, Board on Atmospheric Sciences and Climate, Division on Earth and Life Studies, National Research Council of the National Academies
- Publisher
- National Academies Press
- Published
- 2007
- Language
- EN
- ISBN
- 9780309112093
- Category
- nonfiction
- Subjects
- Science, Computer Science, Management
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