Mercury (metadata Search System)
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Mercury (metadata Search System)
Mercury is a distributed metadata management, data discovery and access system. It is a scientific data search system to capture and manage biogeochemical and ecological data in support of the Earth science programs funded by the United States Department of Energy (DOE) and United States Geological Survey (USGS) - Department of Interior (DOI). Mercury was originally developed for NASA, but the consortium is now supported by USGS and the DOE. Ongoing development of Mercury is done through an informal consortium at Oak Ridge National Laboratory. Mercury is a part of the Oak Ridge National Laboratory Environmental Sciences Division (ESD) and a contributor to the Climate Change Science Institute (CCSI). Technical features 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 interoperabilit ...
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Mercury Metadata Search System
Mercury is a distributed metadata management, data discovery and access system. It is a scientific data search system to capture and manage biogeochemical and ecological data in support of the Earth science programs funded by the United States Department of Energy (DOE) and United States Geological Survey (USGS) - Department of Interior (DOI). Mercury was originally developed for NASA, but the consortium is now supported by USGS and the DOE. Ongoing development of Mercury is done through an informal consortium at Oak Ridge National Laboratory. Mercury is a part of the Oak Ridge National Laboratory Environmental Sciences Division (ESD) and a contributor to the Climate Change Science Institute (CCSI). Technical features 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 interoperabilit ...
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Data Exchange
Data exchange is the process of taking data structured under a ''source'' schema and transforming it into a ''target'' schema, so that the target data is an accurate representation of the source data.A. Doan, A. Halevy, and Z. Ives.Principles of data integration, Morgan Kaufmann,s 2012 pp. 276 Data exchange allows data to be shared between different computer programs. It is similar to the related concept of data integration except that data is actually restructured (with possible loss of content) in data exchange. There may be no way to transform an instance given all of the constraints. Conversely, there may be numerous ways to transform the instance (possibly infinitely many), in which case a "best" choice of solutions has to be identified and justified. Single-domain data exchange In some domains, a few dozen different source and target schema (proprietary data formats) may exist. An "exchange" or "interchange format" is often developed for a single domain, and then necessar ...
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Metadata
Metadata is "data that provides information about other data", but not the content of the data, such as the text of a message or the image itself. There are many distinct types of metadata, including: * Descriptive metadata – the descriptive information about a resource. It is used for discovery and identification. It includes elements such as title, abstract, author, and keywords. * Structural metadata – metadata about containers of data and indicates how compound objects are put together, for example, how pages are ordered to form chapters. It describes the types, versions, relationships, and other characteristics of digital materials. * Administrative metadata – the information to help manage a resource, like resource type, permissions, and when and how it was created. * Reference metadata – the information about the contents and quality of statistical data. * Statistical metadata – also called process data, may describe processes that collect, process, or produce st ...
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OAI-PMH
The Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) is a protocol developed for harvesting metadata descriptions of records in an archive so that services can be built using metadata from many archives. An implementation of OAI-PMH must support representing metadata in Dublin Core, but may also support additional representations. The protocol is usually just referred to as the OAI Protocol. OAI-PMH uses XML over HTTP. Version 2.0 of the protocol was released in 2002; the document was last updated in 2015. It has a Creative Commons license BY-SA. History In the late 1990s, Herbert Van de Sompel (Ghent University) was working with researchers and librarians at Los Alamos National Laboratory (US) and called a meeting to address difficulties related to interoperability issues of e-print servers and digital repositories. The meeting was held in Santa Fe, New Mexico, in October 1999. A key development from the meeting was the definition of an interface that permi ...
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International Organization For Standardization
The International Organization for Standardization (ISO ) is an international standard development organization composed of representatives from the national standards organizations of member countries. Membership requirements are given in Article 3 of the ISO Statutes. ISO was founded on 23 February 1947, and (as of November 2022) it has published over 24,500 international standards covering almost all aspects of technology and manufacturing. It has 809 Technical committees and sub committees to take care of standards development. The organization develops and publishes standardization in all technical and nontechnical fields other than electrical and electronic engineering, which is handled by the IEC.Editors of Encyclopedia Britannica. 3 June 2021.International Organization for Standardization" ''Encyclopedia Britannica''. Retrieved 2022-04-26. It is headquartered in Geneva, Switzerland, and works in 167 countries . The three official languages of the ISO are English, Fren ...
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Ecological Metadata Language
Ecological Metadata Language (EML) is a metadata standard developed by and for the ecology discipline. It is based on prior work done by the Ecological Society of America and others, including the Knowledge Network for Biocomplexity. EML is a set of XML schema documents that allow for the structural expression of metadata. It was developed specifically to allow researchers to document a typical data set in the ecological sciences. EML is largely designed to describe digital resources, however, it may also be used to describe non-digital resources such as paper maps and other non-digital media. The Knowledge Network for Biocomplexity project has developed a software client specifically to address this need. Morpho Higgins, D, C Berkley, and M Jones (2002) Managing heterogeneous ecological data using Morpho. In Proceedings of the 14th International Conference on Scientific and Statistical Database Management, July 24–26. is data management software intended for generating metadata ...
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Darwin Core
Darwin Core (often abbreviated to DwC) is an extension of Dublin Core for biodiversity informatics. It is meant to provide a stable standard reference for sharing information on biological diversity (biodiversity). The terms described in this standard are a part of a larger set of vocabularies and technical specifications under development and maintained by Biodiversity Information Standards (TDWG) (formerly the Taxonomic Databases Working Group). Description The Darwin Core is a body of standards intended to facilitate the sharing of information about biological diversity. The DwC includes a glossary of terms, and documentation providing reference definitions, examples, and commentary. An overview of the currently adopted terms and concepts can be found in thDarwin Core quick reference guidemaintained by TDWG. The DwC operational unit is primarily based on taxa, their occurrence in nature as documented by observations, specimens, and samples, and related information. Included in ...
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Dublin Core
220px, Logo image of DCMI, which formulates Dublin Core The Dublin Core, also known as the Dublin Core Metadata Element Set (DCMES), is a set of fifteen "core" elements (properties) for describing resources. This fifteen-element Dublin Core has been formally standardized as ISO 15836, ANSI/NISO Z39.85, and IETF RFC 5013. The Dublin Core Metadata Initiative (DCMI), which formulates the Dublin Core, is a project of the Association for Information Science and Technology (ASIS&T), a non-profit organization. The core properties are part of a larger set of DCMI Metadata Terms. "Dublin Core" is also used as an adjective for Dublin Core metadata, a style of metadata that draws on multiple Resource Description Framework (RDF) vocabularies, packaged and constrained in Dublin Core application profiles. The resources described using the Dublin Core may be digital resources (video, images, web pages, etc.) as well as physical resources such as books or works of art. Dublin Core metadata may ...
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FGDC
The Federal Geographic Data Committee (FGDC) is a United States government committee which promotes the coordinated development, use, sharing, and dissemination of geospatial data on a national basis. Its 32 members are representatives from the Executive Office of the President, and Cabinet level and independent federal agencies. The secretary of the Department of the Interior chairs the FGDC, with the deputy director for management, Office of Management and Budget (OMB) as vice-chair. History The FGDC's role was determined by OMB Circular A-16 and OMB Circular A-119 until 2018. Then the FGDC's official position and roles were codified in law in the ''Geospatial Data Act'' of 2018. OMB Circular A-16, revised August 19, 2002, is a Government circular that was created by the United States Office of Management and Budget (OMB) to provide guidance for federal agencies that create, maintain or use spatial data directly or indirectly through the establishment of the National Spati ...
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Interoperability
Interoperability is a characteristic of a product or system to work with other products or systems. While the term was initially defined for information technology or systems engineering services to allow for information exchange, a broader definition takes into account social, political, and organizational factors that impact system-to-system performance. Types of interoperability include syntactic interoperability, where two systems can communicate with each other, and cross-domain interoperability, where multiple organizations work together and exchange information. Types If two or more systems use common data formats and communication protocols and are capable of communicating with each other, they exhibit ''syntactic interoperability''. XML and SQL are examples of common data formats and protocols. Lower-level data formats also contribute to syntactic interoperability, ensuring that alphabetical characters are stored in the same ASCII or a Unicode format in all the commun ...
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Data Reuse
In the pursuit of knowledge, data (; ) is a collection of discrete values that convey information, describing quantity, quality, fact, statistics, other basic units of meaning, or simply sequences of symbols that may be further interpreted. A datum is an individual value in a collection of data. Data is usually organized into structures such as tables that provide additional context and meaning, and which may themselves be used as data in larger structures. Data may be used as variables in a computational process. Data may represent abstract ideas or concrete measurements. Data is commonly used in scientific research, economics, and in virtually every other form of human organizational activity. Examples of data sets include price indices (such as consumer price index), unemployment rates, literacy rates, and census data. In this context, data represents the raw facts and figures which can be used in such a manner in order to capture the useful information out of it. ...
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Metadata Management
Metadata management involves managing metadata about other data, whereby this "other data" is generally referred to as content data. The term is used most often in relation to digital media, but older forms of metadata are catalogs, dictionaries, and taxonomies. For example, the Dewey Decimal Classification is a metadata management system developed in 1876 for libraries. Metadata schema Metadata management goes by the end-to-end process and governance framework for creating, controlling, enhancing, attributing, defining and managing a metadata schema, model or other structured aggregation system, either independently or within a repository and the associated supporting processes (often to enable the management of content). For web-based systems, URLs, images, video etc. may be referenced from a triples table of object, attribute and value. Scope With specific knowledge domains, the boundaries of the metadata for each must be managed, since a general ontology is not useful to exp ...
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