Monday, May 14, 2018

#AfricaGap - #Wikidata; its quality as Wikidata matures

Currently there are 45 countries that I monitor for their national politicians. When I add a specific national "position", I do several things; I add existing politicians that are known in a particular category and I include a definition of what that category contains.

I give hardly any attention to details; my objective here is simple I want to see how this (underdeveloped) data evolves. There is a huge gap in what we know about Africa and as it is, we hardly inform about Africa, we need Africans to help us gain the most basic facts straight for ourselves.

As Wikidata matures, we gain subsets of data that is of varying quality. The most mature living data are our interwiki links. It is live data and it serves a purpose. Changes require attention to detail it has an immediate effect in the discoverability of information. When data comes alive, when it serves a purpose, it has people who will invest their time to get the data right. They will give attention to detail because that serves their purpose.

For arcane subjects like the Ottoman Empire, even Africa, there are few people who find a purpose in the data. Arguably there is so little data that almost everything added is a 100% gain in quality (a person exists, he is a member of parliament of ***, I do not understand African names so it could be male or female I do not know). Sometimes there are whole lists of people like these people from the Bosnian Eyalet, it is easy enough to complete such a list. But will it serve a purpose? How to give it a purpose?

There is no uniform quality to Wikidata. There are whole areas where we are 100% of the mark as we do not have the data nor the ability to link to data elsewhere. There are other areas like in biomedical literature where our quality is such that it is actually useful. As this becomes known thanks to its evangelists, more attention is given by a wider public and more attention to detail is given in the process.

Arguably the quality of subsets of our data depends on its usefulness. When it is useful, people will come and give the attention to detail as it serves their purpose.
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