Happy to be of use. There is also one for:
* Swedish photo studios [1]
* Norwegian photographers[2]
* Norwegian photo studios [3]
I'm less familiar with these though and don't have a timeline for wikidata
integration.

Cheers,
André

[1] http://kulturnav.org/deb494a0-5457-4e5f-ae9b-e1826e0de681
[2] http://kulturnav.org/508197af-6e36-4e4f-927c-79f8f63654b2
[3] http://kulturnav.org/7d2a01d1-724c-4ad2-a18c-e799880a0241
------
André Costa
GLAM developer
Wikimedia Sverige
On 9 Dec 2015 15:07, "David Lowe" <[email protected]> wrote:

> Thanks, André! I don't know that I've found that before. Great to get
> country (or region) specific lists like this.
> D
>
> On Wednesday, December 9, 2015, André Costa <[email protected]>
> wrote:
>
>> In case you haven't come across it before
>> http://kulturnav.org/1f368832-7649-4386-97b6-ae40cce8752b is the entry
>> point to the Swedish database of (primarily early) photographers curated by
>> the Nordic Museum in Stockholm.
>>
>> It's not that well integrated into Wikidata yet but the plan is to fix
>> that during early 2016. That would also allow a variety of photographs on
>> Wikimedia Commons to be linked to these entries.
>>
>> Cheers,
>> André
>>
>> André Costa | GLAM developer, Wikimedia Sverige |
>> [email protected] | +46 (0)733-964574
>>
>> Stöd fri kunskap, bli medlem i Wikimedia Sverige.
>> Läs mer på blimedlem.wikimedia.se
>>
>> On 9 December 2015 at 02:44, David Lowe <[email protected]> wrote:
>>
>>> Thanks, Tom.
>>> I'll have to look at this specific case when I'm back at work tomorrow,
>>> as it does seem you found something in error.
>>> As for my process: with WD, I queried out the label, description &
>>> country of citizenship, dob & dod of of everyone with occupation:
>>> photographer. After some cleaning, I can get the WD data formatted like my
>>> own (Name, Nationality, Dates). I can then do a simple match, where
>>> everything matches exactly. For the remainder, I then match names and
>>> dates- without Nationality, which is often very "soft" information. For
>>> those that pass a smell test (one is "English" the other is "British") I
>>> pass those along, too. For those with greater discrepancies, I look still
>>> closer. For those with still greater discrepancies, I manually,
>>> individually query my database for anyone with the same last name & same
>>> first initial to catch misspellings or different transliterations. I also
>>> occasionally put my entire database into open refine to catch instances
>>> where, for instance, a Chinese name has been given as FamilyName, GivenName
>>> in one source, and GivenName, FamilyName in another.
>>> In short, this is scrupulously- and manually- checked data. I'm not
>>> savvy enough to let an algorithm make my mistakes for me! But let me know
>>> if this seems to be more than bad luck of the draw- finding the conflicting
>>> data you found.
>>> I have also to say, I may suppress the Niepce Museum collection, as it's
>>> from a really crappy list of photographers in their collection which I
>>> found many years ago, and can no longer find. I don't want to blame them
>>> for the discrepancy, but that might be the source. I don't know.
>>> As I start to query out places of birth & death from WD in the next
>>> days, I expect to find more discrepancies. (Just today, I found dozens of
>>> folks whom ULAN gendered one way, and WD another- but were undeniably the
>>> same photographer. )
>>> Thanks,
>>> David
>>>
>>>
>>> On Tuesday, December 8, 2015, Tom Morris <[email protected]> wrote:
>>>
>>>> Can you explain what "indexing" means in this context?  Is there some
>>>> type of matching process?  How are duplicates resolved, if at all? Was the
>>>> Wikidata info extracted from a dump or one of the APIs?
>>>>
>>>> When I looked at the first person I picked at random, Pierre Berdoy
>>>> (ID:269710), I see that both Wikidata and Wikipedia claim that he was born
>>>> in Biarritz while the NYPL database claims he was born in Nashua, NH.  So,
>>>> it would appear that there are either two different people with the same
>>>> name, born in different places, or the birth place is wrong.
>>>>
>>>>
>>>> http://mgiraldo.github.io/pic/?&biography.TermID=2028247&Location=269710|42.7575,-71.4644
>>>> https://www.wikidata.org/wiki/Q3383941
>>>>
>>>> Tom
>>>>
>>>>
>>>>
>>>>
>>>> On Tue, Dec 8, 2015 at 7:10 PM, David Lowe <[email protected]> wrote:
>>>>
>>>>> Hello all,
>>>>> The Photographers' Identities Catalog (PIC) is an ongoing project of
>>>>> visualizing photo history through the lives of photographers and photo
>>>>> studios. I have information on 115,000 photographers and studios as of
>>>>> tonight. It is still under construction, but as I've almost completed an
>>>>> initial indexing of the ~12,000 photographers in WikiData, I thought I'd
>>>>> share it with you. We (the New York Public Library) hope to launch it
>>>>> officially in mid to late January. This represents about 12 years worth of
>>>>> my work of researching in NYPL's photography collection, censuses and
>>>>> business directories, and scraping or indexing trusted websites, 
>>>>> databases,
>>>>> and published biographical dictionaries pertaining to photo history.
>>>>> Again, please bear in mind that our programmer is still hard at work
>>>>> (and I continue to refine and add to the data*), but we welcome your
>>>>> feedback, questions, critiques, etc. To see the WikiData photographers,
>>>>> select WikiData from the Source dropdown. Have fun!
>>>>>
>>>>> *PIC*
>>>>> <http://mgiraldo.github.io/pic/?address.AddressTypeID=*&address.CountryID=*&Nationality=*&gender.TermID=*&process.TermID=*&role.TermID=*&format.TermID=*&biography.TermID=*&collection.TermID=*&Location=*&DisplayName=*&Date=*>
>>>>>
>>>>> Thanks,
>>>>> David
>>>>>
>>>>> *Tomorrow,  for instance, I'll start mining Wikidata for birth & death
>>>>> locations.
>>>>>
>>>>> _______________________________________________
>>>>> Wikidata mailing list
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>>>>>
>>>>>
>>>>
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>>>
>>>
>>
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