Talk:Data quality

message: My suggestion is to add the following phrase to the chapter about data quality dimensions:
In a later study, sixty dimensions of data quality were inventoried, comparing definitions from different sources. In this study, the definitions were formulated so that they comply with the ISO 704 standard. The result is a list of 60 standardised definitions of dimensions of data quality. Also added to each dimension is which data concept the dimension belongs to. This way, a distinction can be made, for instance, between the completeness of values, the completeness or records and the completeness of attributes. https://www.dama-nl.org/wp-content/uploads/2020/09/DDQ-Dimensions-of-Data-Quality-Research-Paper-version-1.2-d.d.-3-Sept-2020.pdf 
Do you agree?
Pndt (talk) 18:11, 1 December 2022 (UTC)
thread_title: All 60 dimensions of data quality in one list 

message: the first sentence isn't exactly exploding with useful information is it?
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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.
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I have to agree with the first comment, the first sentence was a mental turn-off to me. As a reader it made me think 'well, duh'.  I don't think Data Quality would be confused with Quality Data as you suggest either.  The following sentences are good summaries - perhaps you could re-write to improve the immediate readability.
The reference to NCOA is rather specific to the US, could you add 'In the USA...' or some other clarifying text?
--81.146.33.135 17:38, 11 June 2007 (UTC)
thread_title: the first sentence

message: 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)
thread_title:  External links 

message: 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)
thread_title:  Reference section 

message: Just had a quick and non-exhaustive look at some links;
4 "IAIDQ--glossary"
5 "Government of British Columbia"
10  "Address Management for Mail-Order and Retail"
11  http://ribbs.usps.gov/move_update/documents/tech_guides/PUB363.pdf
Also the link for 3 '"Data Quality: High-impact Strategies - What You Need to Know: Definitions, Adoptions, Impact, Benefits, Maturity, Vendors". Retrieved 5 February 2013.' is set to private so not sure that can be used as a source?
Andypolack (talk) 13:54, 25 October 2017 (UTC)
thread_title:  Additional Broken Links as at 10/25/2017 

message: The no.1 reference: "Data Quality: High-impact Strategies - What You Need to Know: Definitions, Adoptions, Impact, Benefits, Maturity, Vendors"., should be removed. It is self promotion for a copy-paste book of free information (mainly wikipedia, as it turns out according to amazon reviews). 
194.138.12.167 (talk) 13:04, 8 October 2013 (UTC)
thread_title:  Reference that should be removed 

message: I have seldom read a Wikipedia article that is more self promoting and less informational than this tripe allegedly on Data Quality.   Come on guys - you are hardly Codd mentioned on databases or Kimball on Data Warehousing.   Knock it off - it does nothing but discredit you.   Lets have some proper definitions of the problem and its component parts, a mention of the main associations, methodologies and tools and leave it that that?  — Preceding unsigned comment added by 84.92.230.173 (talk) 17:47, 17 October 2013 (UTC)
thread_title:  Self Promoting Rubbish 

message: In an industry where there have been significant changes to this concept, this article has not kept up (and was not high quality to begin with).
A better structure for this article would be:
* Defnition(s)
* DQ Elements (consolidated list from multiple current sources) - A list of attributes that are used to define the quality level
* DQ Measurement - Discussion about different ways quality is measured
* DQ Functions - The functions that need to occur to produce high quality data - these should just be links to other relevant articles rather than expanded discussion in this article, as these functions themselves are complex topics
* References
* Further Reading
205.214.190.129 (talk) 16:40, 2 August 2016 (UTC)
thread_title:  Needs to be completely rewritten? 

message: Hello fellow Wikipedians,
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thread_title:  External links modified