Re: How To Do Deal with the Subjective Issue of Data Quality?

Hi Kingsley,
IMO, data quality is the degree to which data fulfills quality requirements.
As you said, quality requirements are subjective  and, therefore, can be
very heterogeneous and contradictory, even in closed settings. In my eyes,
the most effective way to get a hand on data quality is to explicitly
represent, manage, and share quality requirements. This way, we can agree
and disagree about them while we can always view each other's quality
assumptions. This is particularly important, when making statements about
the quality of a data source or ontology.

Therefore, we have started to create a data quality management ontology
which shall facilitate the representation and publication of quality
requirements in RDF [1]. An overview presentation what we could do with such
an ontology is available at [2]. As soon as we have a stable version, we
plan to publish it at http://semwebquality.org for public.  

However, no matter how hard we are trying to establish a high level of data
quality, I believe that it is almost impossible to achieve 100 %, especially
due to the heterogeneous requirements. But we should try to approximate and
keep up a high level. 

Please, let me know what you think about our approach.

[1] http://www.heppnetz.de/files/dataquality-vocab-lwdm2011.pdf 
[2]
http://www.slideshare.net/cfuerber/towards-a-vocabulary-for-data-quality-man
agement-in-semantic-web-architectures  

Cheers,
Christian 

------------------------------------------
Dipl.-Kfm. Christian Fürber
Professur für Allgemeine BWL, insbesondere E-Business e-business & web
science research group Universität der Bundeswehr München
 
e-mail: c.fuerber@unibw.de
www:   http://www.unibw.de/ebusiness/
skype: c.fuerber
twitter: cfuerber

Received on Thursday, 7 April 2011 20:36:22 UTC