Hi,
If we accept that the quality of the data is the "fitness for use",
which in my opinion is the best and most commonly used definition (as
stated in the article linked by Ettore), then it will never be possible
to define a number that objectively represents data quality. We can
define a number that is the result of an arbitrary weighted average of
different metrics related to various dimensions of quality arbitrarily
captured and transformed, and we can fool ourselves by saying that this
number represents data quality, but it will not, nor will it be an
approximation of what data quality means, nor will this number be able
to order Wikidata entities matching any common, understandable,
high-level criterion. The quality of the data depends on the use, it's
relative to each user, and can't be measured globally and objectively in
any way that is better than another.
As an alternative, however, I can suggest that you separately study some
quality dimensions assuming a particular use case for your study; this
will be correct, doable and greatly appreciated. :-) Please feel free to
ask for help in case you need it, either personally or via this list or
other means. And thanks for your interest in improving Wikidata!
Regards,
David
On 8/24/19 13:54, Uwe Jung wrote:
Hello,
As the importance of Wikidata increases, so do the demands on the
quality of the data. I would like to put the following proposal up for
discussion.
Two basic ideas:
1. Each Wikidata page (item) is scored after each editing. This score
should express different dimensions of data quality in a quickly
manageable way.
2. A property is created via which the item refers to the score value.
Certain qualifiers can be used for a more detailed description (e.g.
time of calculation, algorithm used to calculate the score value, etc.).
The score value can be calculated either within Wikibase after each data
change or "externally" by a bot. For the calculation can be used among
other things: Number of constraints, completeness of references, degree
of completeness in relation to the underlying ontology, etc. There are
already some interesting discussions on the question of data quality
which can be used here ( see
https://www.wikidata.org/wiki/Wikidata:Item_quality;
https://www.wikidata.org/wiki/Wikidata:WikiProject_Data_Quality, etc).
Advantages
* Users get a quick overview of the quality of a page (item).
* SPARQL can be used to query only those items that meet a certain
quality level.
* The idea would probably be relatively easy to implement.
Disadvantage:
* In a way, the data model is abused by generating statements that no
longer describe the item itself, but make statements about the
representation of this item in Wikidata.
* Additional computing power must be provided for the regular
calculation of all changed items.
* Only the quality of pages is referred to. If it is insufficient, the
changes still have to be made manually.
I would now be interested in the following:
1. Is this idea suitable to effectively help solve existing quality
problems?
2. Which quality dimensions should the score value represent?
3. Which quality dimension can be calculated with reasonable effort?
4. How to calculate and represent them?
5. Which is the most suitable way to further discuss and implement this
idea?
Many thanks in advance.
Uwe Jung (UJung <https://www.wikidata.org/wiki/User:UJung>)
www.archivfuehrer-kolonialzeit.de/thesaurus
<http://www.archivfuehrer-kolonialzeit.de/thesaurus>
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David Abián