Claim: More recent hiring at NYC museums has seen an increase in Black/African American staff but a decrease in Hispanic staff
Data: Diversity Survey of the New York City Department of Cultural Affairs Grantees, 2015 (ICPSR 36606) https://www.icpsr.umich.edu/icpsrweb/RCMD/studies/36606
d3/aws node: https://console.aws.amazon.com/cloud9/ide/00651c2eccdb449798cec665916ff310
NYC DCLA data comparison of museum staff by race/ethnicity for any hiring year and for those museum staff hired since 2010 (the survey was fielded in 2015 so this is within the past 5 years.) Are there hiring patterns visible for NYC museums funded by the DCLA in terms of diversity of staff hiring over the past 5 years in relation to all staff at these museums? Data set NYC DCLA 2015 survey, ‘raceethnicity’ column, link to node.
Used d3 bar chart – as that makes sense for comparing quantities (and we have gone over bar charts in class) – and showed number for each group as identified in the survey codebook:
1 American Indian or Alaskan Native and Native Hawaiian or Pacific Islander
2 Asian
3 Black or African American
4 Hispanic
5 Two Or More Races
6 White
-8 Declined to State
Claim: NYC DCLA museum curators are mainly at the mid or senior job level - recent hiring has seen a decrease in numbers of white non-Hispanic curators at the mid and senior levels but even so, white non-Hispanic curators are in the majority.
Data: Diversity Survey of the New York City Department of Cultural Affairs Grantees, 2015 (ICPSR 36606) https://www.icpsr.umich.edu/icpsrweb/RCMD/studies/36606
d3/aws node: https://console.aws.amazon.com/cloud9/ide/00651c2eccdb449798cec665916ff310 Selected museums and jobtype 4: ‘curator’. 1st bar charts compare curators hired in last 5 years by race/ethnicity with those same curators who are in mid or senior job positions. The 2nd bar charts compare all curators by race/ethnicity with those same curators who are in mid or senior job positions.
Claim: There are more women at every job level in NYC DCLA-funded museums from junior to senior positions
Data: Diversity Survey of the New York City Department of Cultural Affairs Grantees, 2015 (ICPSR 36606) https://www.icpsr.umich.edu/icpsrweb/RCMD/studies/36606
Google spreadsheets: file:///Users/clarec/Downloads/36606-0001-Data_NYCDCLA_charts/da36606-0001.html
Cross compared job level with gender for all NYC DCLA grantees categorized as ‘museums’ who answered staff survey in 2015 – data is for each staff member (8,094). The codebook put job ‘level’ in 3 categories and asked the member of staff who filled in the survey to select one category for each staff member: 1 Junior, 2 Mid, 3 Senior, Missing Data -9
Claim: 4 in 5 Artworks at MoMA and at The Met MCAC Will Be By a Male Artist Comparison of MoMA collection and The Met’s Modern & Contemporary Art Collection by gender
Data: MoMA artworks csv, Jan 2019: https://github.com/MuseumofModernArt/collection/blob/master/Artworks.csv The Met open access csv: https://github.com/metmuseum/openaccess (used gender-identified data set, Jan 2018): https://github.com/churc/MajorStudio1/tree/master/MetProjects/gender/assets) Excel (uploaded to google): https://docs.google.com/spreadsheets/d/1JC6ucDsvQXrV_uUylcjkuto7Mo11Fb2I74cGXYvEFeY/edit#gid=537594401 MoMA artworks spreadsheet for all the departments was getting errors in google sheets and aws node (too large?) so used excel to find subtotals for gender.
In MoMA csv there are 377 different ways of filling in the ‘gender’ column for the artworks. Exported the subtotals into google sheets to filter and identify what categories to use. Grouped artists in similar way to previous work with The Met Modern & Contemporary Art Collection (MCAC) (female – both single and groups of only female artists, similarly with male, couple/collaboratives with both female and male artists, unknown/blank cell, unidentified. I have not examined the latter two categories closely in MoMA yet, fyi.)
MoMA collection (all departments) on github (Jan. 2019): 135,083 identified in spreadsheet by gender in some sort of way; 2515 artworks gender column blank.
The Met MCAC (Jan. 2018): 14,350 artworks
Claim: NYC Museum Staff/Volunteers Don’t Reflect MoMA or The Met MCAC Collections by Gender. What was the gender breakdown of NYC DCLA grantees in 2015 for museum staff?
Data: Diversity Survey of the New York City Department of Cultural Affairs Grantees, 2015 (ICPSR 36606) https://www.icpsr.umich.edu/icpsrweb/RCMD/studies/36606
Google spreadsheets: file:///Users/clarec/Downloads/36606-0001-Data_NYCDCLA_charts/da36606-0001.html
8,094 museum staff (1,117 of these are volunteers: have included them in the data here) Took ‘museums’ category, ‘gender’ category. Codebook defines gender categories. NYC DCLA grantee museum staff are over 54% female:
Female: 4406
Male: 3682
Does not identify as either male or female or Decline to State: 6
Art museum collections do not seem to reflect the gender of the staff.
To do – is the artwork by nationality in NYC art museums acquisition changing over the last decade?
a. for Brooklyn Museum query api – contemporary art collection, nationality
b. for MoMA (select departments or whole of MoMA?) MoMA github data set, ‘Nationality’ column and ‘DateAcquired’ column. Look at what is going on at a collecting level in terms of which artists are being acquired.
c. compare with Met Modern & Contemporary art collection
d. can I find some way of acquiring the 2015 and 2018 art museum staff data set since this would correlate much more closely with art museum collection data. If not, look at the NYC DCLA and narrow the filter for budget and number of staff.