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Overview of content related to 'preservation'

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This page provides an overview of 1 article related to 'jpeg'. 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.

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In computing, JPEG is a commonly used method of lossy compression for digital photography (image). The degree of compression can be adjusted, allowing a selectable tradeoff between storage size and image quality. JPEG typically achieves 10:1 compression with little perceptible loss in image quality. (Excerpt from Wikipedia article: JPEG)

Key statistics

Metadata related to 'jpeg' (as derived from all content tagged with this term):

  • Number of articles referring to 'jpeg': 31 (1.8% of published articles)
  • Total references to 'jpeg' across all Ariadne articles: 53
  • Average number of references to 'jpeg' per Ariadne article: 1.71
  • Earliest Ariadne article referring to 'jpeg': 1996-03
  • Trending factor of 'jpeg': 67.8 (see FAQs on monitoring of trends)

See our 'jpeg' 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 'jpeg' usage charts. Usage chart icon

Top authors

Ariadne contributors most frequently referring to 'jpeg':

  1. judith wusteman (see articles on this topic by this author)
  2. robert kiley (see articles on this topic by this author)
  3. christy henshaw (see articles on this topic by this author)
  4. dave thompson (see articles on this topic by this author)
  5. peri stracchino (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.

Titlesort icon Article summary Date

Developing Infrastructure for Research Data Management at the University of Oxford

James A. J. Wilson, Michael A. Fraser, Luis Martinez-Uribe, Paul Jeffreys, Meriel Patrick, Asif Akram and Tahir Mansoori describe the approaches taken, findings, and issues encountered while developing research data management services and infrastructure at the University of Oxford.

October 2010, issue65, feature article

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