NDR - A Machine-Readable Model for News Content Distribution Control
Stations share news content with third-party services and other stations on a daily basis, but no machine-readable standard exists for identification or distribution control. NDR (News Distribution Rules) defines structured metadata and logic which unambiguously describe where news content originate...
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Published in | SMPTE 2016 Annual Technical Conference and Exhibition pp. 1 - 17 |
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Main Author | |
Format | Conference Proceeding |
Language | English |
Published |
SMPTE
01.10.2016
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Subjects | |
Online Access | Get full text |
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Summary: | Stations share news content with third-party services and other stations on a daily basis, but no machine-readable standard exists for identification or distribution control. NDR (News Distribution Rules) defines structured metadata and logic which unambiguously describe where news content originated, who is allowed to use it, and in what manner. NDR is software-interpretable with human-readable core metadata, enabling automation and interoperability in production and distribution systems while being compatible with long-established editorial workflow models. An optional formatting specification allows structured NDR metadata to be written into existing text-based rights description fields within existing media wrappers, transports and standards. |
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ISBN: | 9781614829577 1614829578 |
DOI: | 10.5594/M001710 |