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User:Einebillion

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Introduction

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I am Victoria Leachman and I live in Wellington, New Zealand. I am a GLAM (Galleries, Libraries, Archives & Museums) professional having worked in museums for my entire career, initially as a museum collection manager, then as a manager of copyright processes within a museum, and now as an executive and people manager making collections more accessible and reuseable for the public. I manage teams responsible for a research library, corporate archives and records, copyright clearances and processes, collections information management and data and digital preservation workflows, imaging, publishing, and lending collection items.

Victoria Leachman

Main contributions (as at October 2025)

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Note: I have recently completed a six month break from my Wikimedia duties as I travelled Europe. I returned to my duties at the start of October.

I contribute to the Wikiverse in my role as President of Wikimedia Aotearoa New Zealand incorporated society (WANZ) - the Aotearoa New Zealand chapter affiliated with Wikimedia Foundation. In this role I do on average 3 hours of organising a week including

  • a weekly meeting with the Executive Advisor planning workload for her and the part time Marketing / Comms person,
  • confirming the agenda of the monthly board meeting,
  • chairing board meetings
  • meeting separately with individual board members
  • recruiting new board members
  • chairing the AGM
  • writing board papers and reports
  • planning strategy, budgets, and funding applications
  • reporting
  • connecting with Wikimedia Foundation staff and staff and board members of other affiliates
  • attending WANZ events and WANZ funded events in my area
  • advocating within the GLAM and education sectors for more engagement with the Aotearoa New Zealand chapter and the Wikimedia projects in general
Wikimedia Aotearoa New Zealand drinks after the 2004 Strategy day
Wikimedia Aotearoa New Zealand drinks after the 2004 Strategy day


I also co-organise and facilitate two regular user meetups, the Aotearoa New Zealand Online monthly meetup and the Wellington monthly meetup. This involves working with Ambrosia10 to set up new meta pages for each event, take attendence, facilitate, and tidy up the notes from the meeting. These meetings allow us to share information that is happening in the community and the chapter with other editors, to hear feedback, and to share editing skills with each other.

Wellington Wikimedia Meet Up March 2025


I am a member of the Museum of New Zealand Te Papa Tongarewa staff wikipedia editing group and, as a manager, I encourage the Librarians and other knowledge professionals I manage to participate in professional development sessions about Wikimedia projects and to attend events organised by the Digital Outreach Manager e.g. edit-a-thons and #1Lib1Ref events. I regularly support the Digital Outreach Manager with her initiatives to share Te Papa's content by attending public events and being an experienced editor on hand to assist newbies.

1Lib1Ref Staff event at Museum of New Zealand Te Papa Tongarewa

My ORCID is https://orcid.org/0000-0002-2008-1827



Work currently being undertaken (October 2025)

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I am involved in three separate projects establishing high quality linked data:

  • New Zealand historic photographers from 1850s - 1950
  • Participants of the New Zealand Wars (1845-1872)
  • Provenance research associated with the British collectors and dealers in ethnographic material - William Ockleford Oldman and William Downing Webster.

The majority of the people I am interested in are not part of a large dataset. I am gathering information on them and entering data into Wikidata manually with references. Where I can I use mix'n'match to connect individuals with other datasets and identifyers. I spend a lot of time cleaning up mix'n'match. I also contribute to New Zealand Theses Project where possible.


New Zealand Historic Photographers 1850s - 1950

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The reason I picked this as one of my areas of interest is because when I was researching photographer copyright at my work I found it difficult to trace individual photographers' dates of death. As a consequence it was difficult to establish when their work assended from copyright and into the public domain. Particularly in the United Kingdom the information on Victorian photographers is behind a paywall so this is my attempt to free information to have a solid base from which to judge copyright duration.

I've worked with User:DrThneed and gathered publicly accessible datasets from the Museum of New Zealand Te Papa Tongarewa collections online and the New Zealand Women Photographers dataset. This included establishing the New Zealand Women Photographers Wikidata Project.

I'm still working through manually checking the Women photographers dataset. I've also received the dataset from Auckland Libraries of historic New Zealand photographers but have yet to import this using Open Refine.

Participants of the New Zealand Wars (1845-1872)

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I am using a combination of Wikidata for notable participants and Wikitree for those that have yet to reach Wikidata notability. The reason I'm working on assembling this data is to assist researchers with provenance research. It was common for those serving in the New Zealand Wars to gather Maori treasures. It was also common through time for these items to be traded and to be acquired by collecting institutions such as museums and galleries. By identifying those that collected these items and their service record, it gives a greater likelihood of reconnecting these treasures with their provenance and with their source communities.

Provenance Research

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I've recently set up a project called: Provenance Research: The clients of W. O. Oldman and W. D. Webster.

There is a worldwide movement in galleries and museums to decolonise the language describing public collection items and to link collection items back to the source communities. Similar to the previous topic, this project works to document a significant time period in collections provenance research and identifies those individuals trading with two of the foremost ethnographic traders of the Victorian and Edwardian period. Ensuring this data is entered into Wikidata will assist museums with the provenance research of their collection.

I am using the publicly available images of letter books and stock books of both of these traders and attempting to identify as many of their clients as possible. A large number of their clients were significant individuals already existing in Wikidata or significant enough to feature in Wikidata.

Other bits and pieces

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Conflict of Interest

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I work for the Museum of New Zealand Te Papa Tongarewa. My full conflict of interest statement is available on my Wikipedia User page.


Organising and Resource Development Work

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File:Https://meta.wikimedia.org/wiki/File:Wikidata-in-brief-1.0.pdf
Wikidata in Brief


Work Done

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  • COMPLETED Working through dataset of New Zealand photographers from Te Papa and reconciling with wikidata Q numbers.
  • COMPLETED Working through the biographical data from manuscript The Pioneer Land Surveyors of New Zealand. https://www.wikidata.org/wiki/Q104113251d
  • COMPLETED Adding Tuhinga articles metadata to wikidata

Ideas

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My scatch pad for Wikidata Queries

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NOTE FOR SELF Control space whilst hovering in the wdt: or wd: area gives you a search function!!!

Provenance Research Project list sorted by family name https://w.wiki/Fy6b


New Zealand Photographers sorted by family name https://w.wiki/6Rvb

SELECT ?item ?itemLabel ?familyname ?familynameLabel WHERE {

 ?item wdt:P106 wd:Q33231 . # Occupation is photographer
 {?item wdt:P27 wd:Q664 } # Country of citizenship is New Zealand
 UNION {?item wdt:P27 wd:Q2594990 } # or Country of citizenship is Dominion of New Zealand
 UNION {?item wdt:P27 wd:Q5148518 } # or Country of citizenship is Colony of New Zealand
 ?item wdt:P734 ?familyname . # item also includes the value family name so it can be picked up in the dataset and for ordering purposes       

SERVICE wikibase:label { bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en". } } ORDER BY ASC(?familynameLabel) #order alphabetically by family name label

New Zealand Photographic Studios https://w.wiki/8dcM

SELECT ?item ?itemLabel WHERE {

 ?item wdt:P31 wd:Q672070 . # instance of photographic studio
 {?item wdt:P17 wd:Q664 } # Country is New Zealand
 UNION {?item wdt:P17 wd:Q2594990 } # or Country is Dominion of New Zealand
 UNION {?item wdt:P17 wd:Q5148518 } # or Country is Colony of New Zealand

SERVICE wikibase:label { bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en". } } ORDER BY ASC(?itemLabel) #order alphabetically by item name

Photographers with Te Papa ID SELECT ?item ?itemLabel ?TePapaID WHERE {

?item wdt:P106 wd:Q33231 . # Occupation is photographer
?item wdt:P3544 ?TePapaID . # item also includes the value Te Papa Artist ID so it can be picked up in the dataset and for ordering purposes       

SERVICE wikibase:label { bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en". } } ORDER BY DESC (?TePapaIDLabel) #order numerically

Photographic Studios with Te Papa ID

SELECT ?item ?itemLabel ?TePapaID WHERE {

?item wdt:P31 wd:Q672070 . # instance of photographic studio
?item wdt:P3544 ?TePapaID . # item also includes the value Te Papa Artist ID so it can be picked up in the dataset and for ordering purposes       

SERVICE wikibase:label { bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en". } } ORDER BY DESC (?TePapaIDLabel) #order numerically

All Wikidata Q numbers with a Te Papa Agent ID

This query can be actioned by going to the Te Papa Agent ID property P3544 and clicking on the Talk/Discussion tab. In the Documentation section and along the Te Papa agent ID row there are a number of links to Wikidata Query Service which include common queries. Current Uses returns Q item number, itemLabel and Te Papa agent ID value. Remember to remove the item limit before running the report otherwise it will be limited to 1000 items.

All botanists with Te Papa ID

SELECT ?item ?itemLabel ?TePapaID WHERE {

?item wdt:P106 wd:Q2374149 . # occupation of Botanist
?item wdt:P3544 ?TePapaID . # item also includes the value Te Papa Artist ID so it can be picked up in the dataset and for ordering purposes       

SERVICE wikibase:label { bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en". } } ORDER BY DESC (?TePapaIDLabel) #order numerically

https://w.wiki/3dJD

Tuhinga Scholarly Articles

SELECT ?item ?itemLabel WHERE {

 ?item wdt:P1433 wd:Q15757882 . # published in Tuhinga

SERVICE wikibase:label { bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en". } } ORDER BY ASC(?itemLabel) #order alphabetically by item name


Nineteenth century New Zealand artists: a guide and handbook listing

SELECT ?item ?itemLabel ?familyname ?familynameLabel WHERE {

 ?item wdt:P1343 wd:Q80587764 . # described by source is Nineteenth century New Zealand artists: a guide and handbook
 ?item wdt:P734 ?familyname . # item also includes the value family name so it can be picked up in the dataset and for ordering purposes       

SERVICE wikibase:label { bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en". } } ORDER BY ASC(?familynameLabel) #order alphabetically by family name label

New Zealand Wars participant https://w.wiki/552e

Properties to use in Tabernacle or OpenRefine

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https://tools.wmflabs.org/tabernacle/#/

OpenRefine howtos User:Einebillion/Manual

New Zealand Photographers

Property Property title Value Q number Q title
P31 Instance of Q5 Human
P18 Image Example Example
P21 Sex Example Example
P27 Country of citizenship Q664 New Zealand
P735 Given name Example Example
P734 Family name Example Example
P1317 active ( value needs to be year) Example Example
P569 date of birth Example Example
P19 place of birth Example Example
P570 date of death Example Example
P20 place of death Example Example
P119 place of burial Example Example
P106 Occupation Q33231 Photographer
P937 work location Example Example
P1830 Owner of Example Example
P6379 has works in the collection(s) Example Example
P31184 sibling Example Example
P463 member of Example Example
P1066 student of Example Example

New Zealand Photographic Studios

Property Property title Value Q number Q title
P31 Instance of Q672070 Photographic studio
P31 Instance of Q43229 Organization
P17 Country Q664 New Zealand
P18 Image Example Example
P159 Headquarters Location (City) Example Example
P669 Located on street Example Example
P276 Location (City) Example Example
P571 Inception Example Example
P576 Dissolved, abolished or demolished Example Example
P127 Owned by Example Example
P1037 Director / manager of Example Example
P155 Follows Example Example
P156 Followed by Example Example
P6379 Has works in the collection(s) Example Example
P463 member of Example Example

Spreadsheet tips for me

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User:Einebillion/Google Sheets Tips How to find duplicate values in excel spreadsheet columns http://spreadsheetpro.net/comparing-two-columns-unique-values/

  • Column A = list of IRNs for people extracted from GLAM collection API
  • Column B = List of organisation names
  • Column C - List of people names
  • Column D - blank column
  • Column E - Qnumber extracted using Wikidata query service script
  • Column F - Name extracted from wikidata Q entry using Wikidata query service script
  • Column G - GLAM collection IRN extracted from wikidata Q entry using Wikidata query service script

To compare these two columns to extract out from the API set those that already have Q numbers use the following excel formula in cell A2 and then drag it down to repeat as many rows as required.

=IF(ISERROR(MATCH(A2,$G$2:$G$771,0)),"",A2)

The formula in cell F3 looks like this: =IF(ISERROR(MATCH(D3,B$3:B$8,0)),"No","Yes (" & MATCH(D3,B$3:B$8,0) & ")"). It's a little longer and more complicated but if we break it down you'll see what is happening. The IF function has 3 parts: (1) What you want to check (2) What to do if it's True (3) What to do if it's False. In this case we're checking if ISERROR(MATCH(A2,$G$2:$G$771,0)) is True or False. We already know what the MATCH function does, and the ISERROR function just checks to see if the MATCH function returns an error (i.e. no match) or a number. If MATCH returns a #N/A then ISERROR will be True, otherwise it will be False.

Now, if ISERROR is True (i.e. we didn't find a match) then the IF function will return a blank value. If ISERROR is False (i.e. we found a match) then the IF function will return the value of whatever is in A2.

Notes to self

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Draft property proposal

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Property Proposal location for person

  • Description has natural environment specimens in collection(s)
  • Represents the institution holding the natural environment specimens collected by the subject
  • Data type Item
  • Domain qualifier for ?
  • Allowed values human (Q5)

Example 1 Joseph Dalton Hooker (Q157501) -> Museum of New Zealand Te Papa Tongarewa (Q915603)
Example 2 Joseph Dalton Hooker (Q157501) -> National Museum of Natural History (Q148554)
Example 3 James Hector (Q675726) -> Natural History Museum (Q309388)
Example 4
Motivation: Adds the identity of organisations that hold the specimens collected by the subject. I anticipate that the majority of organisations would be universities or GLAM organisations. Demonstrates reach and impact of work of scientist / collector. May assist with providing provenance information for specimens.
Discussion: There are wikidata properties for Archives at (P485): the institution holding the subject's archives, and has works in the collection(s) (P6379): the institution or collection holding the artworks created by the subject. This additional property enables another GLAM data element to be included into Wikidata.