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The DDI specification, most often expressed in XML, provides a format for content, exchange, and preservation of questionnaire and data file information. DDI supports the description, storage, and distribution of social science data, creating an international specification that is machine-actionable and web-friendly.
DDI [7] Archiving and Social Science The Data Documentation Initiative is an international effort to establish a standard for technical documentation describing social science data. A membership-based Alliance is developing the DDI specification, which is written in XML. EBUCore [8] The EBUCore metadata set for audiovisual content
DDI - "Data Documentation Initiative" is a format for information describing statistical and social science data (and the lifecycle). SDMX - SDMX-ML is a format for exchange and sharing of Statistical Data and Metadata.
Nesstar's goal was to facilitate data sharing, providing tools for the preparation, curation, and dissemination of research data and related research outputs. Nesstar tools were built explicitly to support the Data Documentation Initiative (DDI) metadata standard [1] in the XML metadata format.
XML Information Set (XML Infoset) is a W3C specification describing an abstract data model of an XML document in terms of a set of information items. [1] The definitions in the XML Information Set specification are meant to be used in other specifications that need to refer to the information in a well-formed XML document.
One Document Type Definition based on Dublin Core is the Open Source Metadata Framework (OMF) specification. [23] OMF is in turn used by Rarian (superseding ScrollKeeper), which is used by the GNOME desktop and KDE help browsers and the ScrollServer documentation server. PBCore is also based on Dublin Core. [24]
that “they” should manage our rights, the way we hire a professional to do our taxes; “they” should run the government, create policy, worry about whether democracy is up and running.
The ISO/IEC 11179 model is a result of two principles of semantic theory, combined with basic principles of data modelling. The first principle from semantic theory is the thesaurus type relation between wider and more narrow (or specific) concepts, e.g. the wide concept "income" has a relation to the more narrow concept "net income".