Mercury: Metadata Search System

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Mercury Metadata Search System

Mercury is a Distributed Metadata Management, Data Discovery and Access System.[1] It is a scientific data search system to capture and manage biogeochemical and ecological data in support of the National Aeronautics and Space Administration's (NASA's) Earth science programs. Mercury was originally developed for NASA, but the consortium is now supported by NASA, U.S. Geological Survey and U.S. Department of Energy. Ongoing development of Mercury is done through an informal consortium at Oak Ridge National Laboratory DAAC

Mercury is a part of Oak Ridge National Laboratory DAAC (ORNL DAAC). The Oak Ridge National Laboratory - Distributed Active Archive Center (ORNL DAAC) for Biogeochemical Dynamics is operated by the ORNL Environmental Sciences Division (ESD) as part of the National Aeronautics and Space Administration's (NASA) Earth Science Data and Information System (ESDIS) project.[2] The ORNL DAAC archives data and products related to the biological, geological, and chemical components of the Earth's environment.


Mercury supports data archiving, data discovery through various search strategies (text string, fielded, spatial, temporal), data reuse, and longer-term scientific digital data stewardship, and supports a range of recognized data exchange and interoperability protocols and supports various metadata standards including XML, Z39.50, FGDC, Dublin Core, Darwin Core, Ecological Metadata Language, and ISO. Mercury also uses OAI-PMH to index metadata records from Global Change Master Directory (GCMD) and redistribute them other data providers[3]

See also[edit]


  1. ^ R. Devarakonda; G. Palanisamy; B. Wilson; J. Green, "Mercury: reusable metadata management, data discovery and access system", Earth Science Informatics, Springer Berlin / Heidelberg, 3 (1): 87–94, doi:10.1007/s12145-010-0050-7 
  2. ^ NASA Earth System Science Data and Services: About the Centers. "[1]"
  3. ^ R. Devarakonda; G. Palanisamy; J. Green; B. Wilson, "Data sharing and retrieval uses OAI-PMH", Earth Science Informatics, Springer Berlin / Heidelberg, doi:10.1007/s12145-010-0073-0 

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