Short answer
Integrate data visualization techniques into design projects to actively 'do' the story of your design's value, rather than just telling it.
- Field
- Innovation & Design
- Source
- Springer series in design and innovation (2023)
- Method
- Desk analysis and comparative analysis of regulatory documents, followed by data visualization.
- Evidence
- Moderate effect
Translating complex data into engaging visual narratives can effectively communicate the value and impact of creative industries. This innovation & design research insight is drawn from a 2023 study published in Springer series in design and innovation. Using Desk analysis and comparative analysis of regulatory documents, followed by data visualization., researchers explored how this design variable affects real-world outcomes. The key design takeaway: Integrate data visualization techniques into design projects to actively 'do' the story of your design's value, rather than just telling it.
Data Visualization as a 'Storydoing' Tool to Articulate Value in Creative Industries
Translating complex data into engaging visual narratives can effectively communicate the value and impact of creative industries.
Springer series in design and innovation · 2023
Key Findings
- 01A critical review of the narrative surrounding the value of cultural and creative disciplines in academia is necessary.
- 02Data visualizations can serve as a creative tool to enable 'storydoing' and create awareness and value.
- 03The University of Bologna's educational models have historically impacted its territory through new economic models and the development of CCIs.
Application
Design takeaway
Integrate data visualization techniques into design projects to actively 'do' the story of your design's value, rather than just telling it.
How to apply
When presenting research findings or project outcomes, create interactive data visualizations that allow users to explore the data and uncover the story of impact themselves.
Project actions
- 01Think about the story you want your data to tell before you start designing visualizations.
- 02Consider interactive elements in your visualizations to allow users to explore the data and discover insights.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Emphasizes a novel approach ('storydoing') to data communication.
- +Connects academic offerings to real-world economic impact.
Limitations
The complexity of data and the tools required for advanced visualization can be a barrier.
Reliability & validity
Reliability could be improved by using standardized metrics for 'understanding' and 'value perception'. Validity is supported by the direct link between visualization and narrative articulation.
Think critically
To what extent can 'storydoing' through data visualization truly capture the nuanced, qualitative value of creative work, beyond quantifiable metrics?
Design Principles
"Employ data visualization as a narrative medium to actively demonstrate impact and foster stakeholder engagement."
Designers and researchers often work with data that demonstrates the impact of their work. By employing 'storydoing' through data visualization, they can move beyond simply presenting data to actively demonstrating its significance and fostering a deeper understanding among stakeholders.
What This Means for Your Design
Using cool charts and graphics can help people understand how important creative projects really are, by showing them the story behind the numbers.
How to use in your project
- 1.Use data visualization to present the results of your user research or testing, framing it as a 'storydoing' of user needs and design solutions.
Add to My Project
Quick Cite
Paragraph starter
The research highlights the power of 'storydoing' through data visualization to articulate the value of creative industries. By transforming raw data into engaging visual narratives, designers can effectively communicate impact and foster deeper understanding among stakeholders, moving beyond passive data presentation to active demonstration of significance.
Source
Springer series in design and innovation
Making Value: Storydoing Actions for Cultural and Creative Industries
journal · 2023
View sourceQuestions About This Research
- What does the research say about data visualization as a 'storydoing' tool to articulate value in creative industries?
- Integrate data visualization techniques into design projects to actively 'do' the story of your design's value, rather than just telling it. Evidence: Springer series in design and innovation (2023).
- Why does "Data Visualization as a 'Storydoing' Tool to Articulate Value in Creative Industries" matter for design?
- Designers and researchers often work with data that demonstrates the impact of their work. By employing 'storydoing' through data visualization, they can move beyond simply presenting data to actively demonstrating its significance and fostering a deeper understanding among stakeholders.
- How can designers apply this research?
- Integrate data visualization techniques into design projects to actively 'do' the story of your design's value, rather than just telling it.
- What were the main findings?
- A critical review of the narrative surrounding the value of cultural and creative disciplines in academia is necessary.. Data visualizations can serve as a creative tool to enable 'storydoing' and create awareness and value.. The University of Bologna's educational models have historically impacted its territory through new economic models and the development of CCIs.
- What research method was used?
- Desk analysis and comparative analysis of regulatory documents, followed by data visualization..
- How strong is the evidence?
- Evidence strength is rated Moderate effect, based on a 2023 journal from Springer series in design and innovation.
- What should I do differently in my next project?
- When presenting research findings or project outcomes, create interactive data visualizations that allow users to explore the data and uncover the story of impact themselves.
- What are the limitations?
- The study focuses on a specific university and its historical context, which may limit generalizability to all CCIs.