Data Science
Welcome to the Data Science page. Here you’ll find a selection of resources, including blogposts, our past data analysis webinars and case studies. Scroll through this page or jump to a particular section by clicking on one of the headings below.
Dimensions Interpretation Tool
Data Analysis Webinars
Dimensions Interpretation Tool
Explore this interactive tool, providing users of the Toolkit with additional context as they interpret their numerical results to the core dimension questions.
Insights Dashboard
Explore this Dashboard, presenting aggregate data from users of the Toolkit, allowing for a deeper reflection and analysis of how ACE supported creative work is being received by audiences, peers, and creatives alike.
Blogposts & Case Studies
What is the Impact & Insight Toolkit’s Insights Dashboard?
Building tools that meet the cultural sector’s desire for greater data collaboration and benchmarking.
The Importance of a Shared Experience when Delivering Online Works
How important is it for an experience of an online work to be ‘shared’? Lead Analyst, Marc Dunford, considers this in his latest piece of analysis.
Artform Diversity of Evaluated Work
Using the Toolkit, organisations can ‘tag’ their evaluations to indicate the type of work that has been evaluated. We often refer to this as ‘adding evaluation properties’. Read here why this is important.
Volume and Velocity of Toolkit Data – understanding the Toolkit data flows and implications
It is good data science practice to visualise and explore your data before trying to answer specific research questions.
Welcome to the Impact & Insight Toolkit’s first data science blogpost!
The goal of our data focused blogposts is to share and explain data methods used in the Toolkit and the insights we find as a result of research.
Lakeland Arts: The Radev Collection, The Nuisance of Landscape & Emilie Taylor
‘One event is interesting, after two or three you start to see a trend’ – Jeanette Edgar, Lakeland Arts