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  2. Schema crosswalk - Wikipedia

    en.wikipedia.org/wiki/Schema_crosswalk

    Because MARC has various fields than MODS, decisions must be made about where to put the data into MODS. This type of "translating" from one format to another is often called "metadata mapping" or "field mapping," and is related to "data mapping", and "semantic mapping". Crosswalks also have several technical capabilities.

  3. Data mapping - Wikipedia

    en.wikipedia.org/wiki/Data_mapping

    Data mappings can be done in a variety of ways using procedural code, creating XSLT transforms or by using graphical mapping tools that automatically generate executable transformation programs. These are graphical tools that allow a user to "draw" lines from fields in one set of data to fields in another.

  4. Template:Bar chart - Wikipedia

    en.wikipedia.org/wiki/Template:Bar_chart

    Each data number (data1=7, data2=23...), in column 1, is scaled to parameter "data_max=" and the bars are sized by width in em units, such as "bar_width=16". By default, the data numbers are shown within each bar, but might display outside a bar when a relatively small number generates a short bar.

  5. Help:Wikidata - Wikipedia

    en.wikipedia.org/wiki/Help:Wikidata

    It allows infobox fields to draw information from Wikidata while ensuring that local values take priority and that unsourced information is filtered out by default. It also gives the infobox designer the opportunity to make the enabling of Wikidata controllable on a per-article basis ("opt-in").

  6. Database schema - Wikipedia

    en.wikipedia.org/wiki/Database_schema

    The database schema is the structure of a database described in a formal language supported typically by a relational database management system (RDBMS). The term " schema " refers to the organization of data as a blueprint of how the database is constructed (divided into database tables in the case of relational databases ).

  7. Data and information visualization - Wikipedia

    en.wikipedia.org/wiki/Data_and_information...

    In data and information visualization, the goal is to graphically present and explore abstract, non-physical and non-spatial data collected from databases, information systems, file systems, documents, business data, etc. (presentational and exploratory visualization) which is different from the field of scientific visualization, where the goal ...

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