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Overview of content related to 'machine-readable data'

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This page provides an overview of 1 article related to 'machine-readable data'. Note that filters may be applied to display a sub-set of articles in this category (see FAQs on filtering for usage tips). Select this link to remove all filters.

 'Inspecting article' image: copyright, used under license from shutterstock.com
Machine-readable data is data (or metadata) which is in a format that can be understood by a computer. There are two types; human-readable data that is marked up so that it can also be read by machines (examples; microformats, RDFa) or data file formats intended principally for machines (RDF, XML, JSON). (Excerpt from Wikipedia article: Machine-readable data)

Key statistics

Metadata related to 'machine-readable data' (as derived from all content tagged with this term):

  • Number of articles referring to 'machine-readable data': 1 (0.1% of published articles)
  • Total references to 'machine-readable data' across all Ariadne articles: 3
  • Average number of references to 'machine-readable data' per Ariadne article: 3.00
  • Earliest Ariadne article referring to 'machine-readable data': 1997-01
  • Trending factor of 'machine-readable data': 0 (see FAQs on monitoring of trends)

See our 'machine-readable data' overview for more data and comparisons with other tags. For visualisations of metadata related to timelines, bands of recency, top authors, and and overall distribution of authors using this term, see our 'machine-readable data' usage charts. Usage chart icon

Top authors

Ariadne contributors most frequently referring to 'machine-readable data':

  1. charles oppenheim (see articles on this topic by this author)

Note: Links to all articles by authors listed above set filters to display articles by each author in the overview below. Select this link to remove all filters.

Title Article summary Date

Copyright Issues in Projects Funded by the Electronic Libraries Programme

After several months experience of dealing with copyright and the eLib programme, Charles Oppenheim returns to the major issues that have a risen.

January 1997, issue7, regular column

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by Dr. Radut