Developing our Dataset

For our project, we utilized a dataset from the Washington State Art Collection, which features hundreds of public artworks across the state. To enrich the dataset, we added several pieces of metadata to support deeper engagement and analysis. These metadata additions included the age range of the intended audience, the group or community associated with the artwork, the site type where the artwork is on display, any overarching themes or subjects that we interpreted, and whether the artist is local, or from the greater Pacific Northwest region. We determined the age range based on the nature of each site (such as schools or parks), and identified associated groups using information directly provided on the ArtsWA website. To interpret themes and subjects, we carefully reviewed the “About the Artwork” descriptions and analyzed the accompanying images, allowing us to add thoughtful context and categorization to each piece. We used a categorical approach for gathering the themes in order to be able to better sort and analyze our data.

Link to our spreadsheet:

https://docs.google.com/spreadsheets/d/1j81odPPoANCSNZEUSnRUSf0iJEoiX-Yp/edit?usp=sharing&ouid=115573756366884386520&rtpof=true&sd=true

We expanded upon the Washington State Art Collection dataset that includes hundreds of public artworks in Washington State. We narrowed our research to the artworks located in Seattle, and added metadata to influence our research. We added data about age range of audience, associated group/community, site type, themes/subjects, additional notes on artwork content, and yes/no if the artist is local to the PNW.