I guess the issue may be different for Wikipedia and Wikidata in that the size of the community to number of items/articles is very different.
I don't know what the solution is but the current situation doesn't seem to work, I spent at least 40 hours (+ Nav's time) to import the 670 items and the data I imported has already started to become less correct through user edits and bot edits.
On 9 June 2016 at 18:42, Yellowcard yellowcard@wikipedia.de wrote:
Luca Martinelli schrieb:
Moreover, there was already a preliminary study on vandalisms on Wikidata, and it found out that vandalism impact is very low and most of the vandalisms happen to "sensitive" items such as... FC Barcelona, Justin Bieber, and the like.
... which will change in the moment we're widely obtaining data from Wikidata directly in Wikipedia articles, as vandalism on Wikidata will be much more worthwhile compared to vandalism on Wikipedia regarding all Wikipedias that use flagged revisions. Providing direct links to the Wikidata item, e.g. in infoboxes (see [1]), will increase this problem also. Vandalism on Wikidata will become much more attractive than it is at the moment.
I still don't have an idea how to avoid the situation that data obtained from Wikidata and used in Wikipedia articles bypasses the flagged revisions. In many Wikipedias, all edits by IPs / new editors have to be flagged as "vandalism free" before they become visible for all readers. Obtaining data directly from Wikidata weakens this principle, as edits on Wikidata are not part of the flagged revisions procedure.
Locking certain statements against changes would solve this problem. As there are many statements that are proven to be true and will never turn false again, it would be very useful to lock these statements. Only trusted users would be able to edit locked statements, then.
Locking items as a whole, however, should only happen if it is necessary due to acute vandalism and should stay a privilege of administrators.
Yellowcard
[1] https://de.wikipedia.org/wiki/Didier_Drogba
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