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AudreyHo

AudreyHo 's Public Library

08 Nov 07

Nascent: Open Text Mining Interface

  • Every now and then a scientist contacts Nature asking for a machine-readable copy if our content (i.e., the XML) to use in text-mining research. We're usually happy to oblige, but there has to be a better way for everyone concerned, not least the poor researcher, who might have to contact any number of publishers and deal with many different content formats to conduct their work. Much better, surely, to have a common format in which all publishers can issue their content for text-mining and indexing purposes.

Applying Usage Statistics to the CERN E-journals Collection: a Step Forward

  • Comparing article usage and CERN publishing in one journal

    In this part of our study, we connect the figures concerning full-text downloads
    from Hyperfine Interactions to the total number of articles published by
    CERN authors over the same period of time in this journal.
  • There are again obvious limitations to this approach
    as different journals cannot be compared, we cannot compare a specialized quarterly
    with a weekly general subject journal.
  • 5 more annotations...

Appendix A: Methods of Measurement Z39.7 Library Statistics - Data Dictionary

    • E-metrics

      Four core datasets have been identified which should, if possible, be collected for all services - separately for each service as well as summed for all services:

      • Number of sessions;
      • Number of searches (queries);
      • Number of units or descriptive records examined (including downloads); and
      • Number of virtual visits.
      • Number of rejected sessions (turnaways);
      • Number of menu selections; and
      • Number of virtual reference transactions.


      All data refer to the use of the library collection, the library's website, the OPAC and Internet access via the library - not to users - accessing documents on the Internet that are publicly available and free via the Internet access in the library.

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