Scientific data archiving: the state of the art in information, data, and metadata management
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Author(s): Shankar, Kalpana | Abstract: This white paperis the product of a one-year postdoctoral fellowship to study data archiving requirements for the Center for Embedded Networked Sensing during its first year of operation. The paperfocuses on introducing current thinking on scientific data management issues and primarily on relevant standards in data description (metadata) and management for scientific archives. Appendices include a rudimentary data dictionary for the current James Reserve database, and sample metadata crosswalks for Ecological Metadata Language (EML) and Sensor ML. This papercovers current standards, developments, and sources of datasets (where appropriate) for: • General data management and discovery - tools • Environmental science/ecology • Seismology • Oceanography • Atmospheric science • Toxic hydrology • Geographical Information Systems (GIS) • Education