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The Centre for Information Quality Management
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A service of IAL, run on behalf of the UK eInformation Group
(UKeiG) and CILIP: the Chartered Institute of Library and Information
Professionals since 1993.
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More...
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Introduction
The Centre for Information Quality Management
(CIQM) was set up in 1993 under the auspices of the (then) UK Library
Association and Institute of Information Scientists – the
organisations that have now become CILIP: the Chartered Institute
of Library and Information Professionals. CIQM’s remit was
specifically to:
- act as a clearing house for data quality issues
- monitor database quality.
The latter role provided the Centre with
scope to undertake a number of research projects and to take a more
pro-active role in establishing methodologies for database quality.
It should be noted that at the time the Centre was set up, the concerns
were with the quality of records in ‘traditional’ databases
made available through vendors such as DIALOG and DIMDI. The rise
in importance of Internet resources has meant that the Centre’s
remit has been extended to include informational Internet resources.
CIQM was set up following evidence of not inconsiderable user activity
in the UK regarding database quality (conference papers, journal
articles, debates and private conversations). Similar concerns were
being voiced in the USA (e.g. articles and books by Péter
Jacsó and Reva Basch). While there is no suggestion that
CIQM has brought an end to such concerns, it is true to say that
far fewer are voiced, although it may be the case that CIQM has
simply been instrumental in improving the information literacy of
some resource users. However, we have seen a gradual improvement
in the quality of databases and information resources.
The CIQM work clearly indicates the importance
of information integrity and data quality. Successes with data producers
(e.g. National Library of Medicine, Elsevier, IEE, CABI) during
the UK clearing-house and monitoring initiative have resulted in
a greater awareness of the issues and a gradual improvement of their,
and other, products. Work on data validation and accreditation has
progressed as far as the development of methodologies, although
these are largely untested. Resource labelling for quality through
metadata remains the preferred route.
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© 2003, 2004, 2005, 2006,
2007, 2008 Information Automation Limited
Last updated: Aug 2007 |