Hi all,

I think there are several issues mixed up in this thread.

One is the (sometimes very emotion-laden) of transsexuals, a field I am not very familiar with. However, Wikidata does have several options available in this field (see https://www.wikidata.org/wiki/Property:P21 ), and I am certain the community will find ways to correctly "tag" each individual, given time.

Another issue, which is what Gerard was talking about in his original post is the sheer number of "majority cases" (male or female), and the increasing lack of such information on Wikidata; increasing because items are tagged as "person" more quickly than they are tagged with a gender. Currently, ~31% of people on Wikidata have no gender tag.

The success of Wikidata is tightly coupled to the re-use of its wealth of data, both in Wikimedia projects and by third parties. Completeness of data is very much a factor here; for some research purposes, completeness may even be more important than 100% accuracy. As we have seen on Wikipedia, accuracy will improve over time, if a "critical mass" of contributors can be achieved.

Both Wikipedia and and Wikidata want to collect the world's knowledge. That means (a) importing new data and (b) checking existing data in relation to primary sources. Which is precisely what Gerard asked for.

Cheers,

Magnus

On Sun, Apr 20, 2014 at 8:11 AM, Gerard Meijssen <gerard.meijssen@gmail.com> wrote:

Hoi,

The problem that I want to solve is that the number of humans that are neither male nor female is currently 419.862 and growing.

I am not particularly interested in other sex/gender issues. I know from a conversation with DBpedia people that they have a property for "penis length".. Not especially my cup of tea either. I was told that that property exists because of an application in combination with French data ...

The reason for the DBpedia headsup is that their bots run repeatedly. This in contrast to what bots have done so far and, they are interested and willing to report the differences they find. This makes their work superior from a quality point of view.

To be blunt, Wikidata gains the quantitative quality I am looking for when only male and female is added where applicable. Transgender issues with respect are edge cases. I am sure somewhere there is a number of the actual number that might represent them all. John indicated that the quality of that data is poor and his example does not provide the current information.

As I indicated before I am interested in fixing the quantitative quality problem that Wikidata has. To fix this, I am among other things interested in the male and female sex. It allows for studies like the ration of male vs female painters, male vs female authors etc. I am not interested to involve myself in the issues around the transgender sexes. As far as I am concerned, everything that can be easily queried from sources is openly available. If it makes sense to not include particular information, it needs to be raised at Wikidata. It is outside my scope to have more as an opinion.

The one reason why I raise the issue of women on Wikidata is that regularly there are edit-a-thons where people write quality articles about notable females. Wikidata should provide adequate information about what this ratio is for the particular fields that are addressed. It is trivial to query Wikidata to find the number of "profession x" for males and females and calculate a ratio.

Thanks,
GerardM

On 20 April 2014 04:56, John Mark Vandenberg <jayvdb@gmail.com> wrote:

On Sun, Apr 20, 2014 at 6:38 AM, Gerard Meijssen
<gerard.meijssen@gmail.com> wrote:
> Hoi,
> Again, what is done is harvest from everywhere. Such actionar are not
> exclusive to Wikidata, it is also done by DBpedia, they have been longer at
> it and at this time they are better at it. What I hope is that there is
> quality data in the research done in the past. Making this available will
> improved quality now.

Gerard, I havent seen sex/gender properties in DBpedia, yet you said
you wanted to batch import sex/gender from the Dutch? DBpedia data.

https://www.wikidata.org/wiki/Wikidata:Project_chat/Archive/2014/04#DBpedia_headsup

Can you find an example of DBpedia having gender/sex data for people
with a sex/gender identification other than bog standard 'male' vs
'female', and it being accurate?

--
John Vandenberg

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