Talk:Data quality

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You have new messages (last change).

the first sentence isn't exactly exploding with useful information is it?

True. But it does distinguish between "quality of data" and "data about quality" (of some other process.) For example, people making car parts are interested in the quality of those parts, and gather data (measurements) about them. This article is not about that.

[edit] External links

I've moved the following links here from the main page:

  • www.b-eye-network.com?offer=Wikipedia Business Intelligence Network Comprehensive online resource for data warehouse, data quality and business performance management professionals.
  • searchcrm.techtarget.com?offer=Wikipedia SearchCRM.com Original daily news, webcasts, expert advice, white papers and more resources on data quality.
  • www.dmreview.com/portals/portal.cfm?topicId=230005 DMReview.com Data Quality Portal for practitioners, containing articles, whitepapers and webinars related to data quality.
  • www.infoimpact.com/ Larry English's Homepage Conferences, books, whitepapers, case studies and consulting - Larry English does it all.
  • ghill.customer.netspace.net.au/iq_attr.html Interactive IQ Explorer For the exploration of data quality concepts, dimensions and attributes.

If you'd like to add some of them back per Wikipedia:External links please discuss it here.
brenneman(t)(c) 00:20, 22 July 2005 (UTC)


The last two links have some merit:

  • While kind of lame, the IQ explorer does list over 170 IQ attributes from the academic and practitioner literature. This is useful to readers wanting to get a feel for how poorly-defined, overlapping and wide-open these concepts are. It might even prompt someone to drag this list into wikipedia, as per the Ilities.
  • The link to Larry English is worth including, since he was mentioned in the body of the article and he has a large amount of practical material (talks, tutorials, seminars, articles and books) on his site.


Refering back to the first comment above, perhaps this observation might be useful

If the definition of data quality is the perception of the fitnes for purpose by a data consumer, then if I presented a set of data that was accurate, complete, relevant and timely, (fulfilling the second given criteria for data quality) but if the data consumer did not trust, understand, be able to manipulate that data in the way they wanted (or some other subjective perspectives)- that data would not be fit for purpose, and therfore of low quality. Does this not emphasize the importance of presentation of data is vital to get right, and that user attitudes like trust are just as relevant as getting accuracy correct? If we roll out information systems without due regard to the "soft system" subjective issues, we risk failure.

I think the definitions and the contrast between them is very useful.

[edit] Reference section

This is currently just "external links" in another guise. If someone wants to convert this into actual refernces per Wikipedia:Footnotes that's great, otherwise I'll take them out. - brenneman{L} 07:19, 21 April 2006 (UTC)

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