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A digital object identifier (DOI) is a persistent identifier or handle used to uniquely identify various objects, standardized by the International Organization for Standardization (ISO). [2] DOIs are an implementation of the Handle System ; [ 3 ] [ 4 ] they also fit within the URI system ( Uniform Resource Identifier ).
Major publishers use the Handle System for persistent identification of commercially traded and Open Access content through its implementation with the Digital Object Identifier (DOI) system. The number of prefixes, which allow users to assign handles, is growing and stands at over 12,000 as of early 2014.
A digital object identifier (DOI) is a unique persistent identifier to a published work, similar in concept to an ISBN. Wikipedia supports the use of DOI to link to published content. Where a journal source has a DOI, it is good practice to use it, in the same way as it is good practice to use ISBN references for book sources.
In computing, object identifiers or OIDs are an identifier mechanism standardized by the International Telecommunication Union (ITU) and ISO/IEC for naming any object, concept, or "thing" with a globally unambiguous persistent name.
In digital object architecture, a digital object has a machine and platform independent structure that allows it to be identified, accessed and protected, as appropriate. A digital object may incorporate not only informational elements, i.e., a digitized version of a paper, movie or sound recording, but also the unique identifier of the digital ...
The Entertainment Identifier Registry, or EIDR, is a global unique identifier system for a broad array of audiovisual objects, including motion pictures, television, and radio programs. The identification system resolves an identifier to a metadata record that is associated with top-level titles, edits, DVDs , encodings, clips, and mashups .
R1.1. (Meta)data are released with a clear and accessible data usage license R1.2. (Meta)data are associated with detailed provenance R1.3. (Meta)data meet domain-relevant community standards The principles refer to three types of entities: data (or any digital object), metadata (information about that digital object), and infrastructure.
The NIST Dictionary of Algorithms and Data Structures [1] is a reference work maintained by the U.S. National Institute of Standards and Technology. It defines a large number of terms relating to algorithms and data structures. For algorithms and data structures not necessarily mentioned here, see list of algorithms and list of data structures.