Open Data needs open standards and open research: an academic and standardization point of view.
Open data needs open formats like XML to be stored and exchanged and in that sense having a neutral standardization body like W3C is vital to design and publish standard formats.
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Open data also needs open data structures for instance the RDF standard is inherently open: not only is it a nonproprietary model with nonproprietary syntax, it is also designed to make datasets extensible and reusable.
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Open data also needs open protocols to be accessible to everyone from everywhere.
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Open data also needs open schemas to capture their meaning, ensure their interoperability and foster automated use and reuse.
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