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This method has been developed within ParCos. This project has received funding from the European Union’s
Horizon 2020 research and innovation program under grant agreement No. 872500.
Storyteller
How to tell your
scientific data story
to a wide audience?
2
Index
About the storyteller 3
What? 4
For whom? 4
This document serves as an introduction
to ParCos’ Storyteller 5
Why is telling data stories important? 6
For whom is telling data stories important? 7
The five-steps approach 8
Storyteller sets out five steps to help you
with the construction of your data story 9
1.		 Finding the data 10
2. Finding the data story 11
3. Telling the data story 12
4. Presenting the data story 13
5. Involving the reader 14
Examples of the different levels
of involvement 15
Find out more 17
Contact 18
3
About the storyteller
4
BACK
TO
INDEX
About
the
Storyteller
What?
The Storyteller is a guidebook designed to assist in the process of
telling stories with data. In five steps, the interactive PDF guides the
user through this process, from searching the data to identifying a
relevant story and from choosing a fitting story structure to exploring
ways of presenting it. It concludes with different stages of audience
involvement.
PDF Guidebook
For whom?
The guidebook helps anyone who wants to learn more about different
considerations that are important for participatory and inclusive
data storytelling.
5
BACK
TO
INDEX
About
the
Storyteller
This document serves as an introduction
to ParCos’ Storyteller
Storyteller is a tool designed to assist you in your process of telling
stories with data.
In five steps, the interactive pdf guides you through this process from
searching the data to identifying a relevant story and from choosing a
fitting narrative structure to exploring ways of presenting it. It concludes
with different stages of audience engagement.
By following this five-step approach, you will be encouraged to reflect on
various considerations that are of importance for telling a participative
and inclusive science/data story.
6
BACK
TO
INDEX
About
the
Storyteller
Why is telling data stories important?
Drawing from the insight that data storytelling helps tackling misinformation by stimulating
data literacy skills, Storyteller helps you with:
Costera Meijer, I. (2013). WHEN NEWS HURTS. Journalism Studies, 14(1), 13–28.
Wolff, A., Gooch, D., Cavero Montaner, J. J., Rashid, U. & Kortuem, G. (2016). Creating an Understanding of
Data Literacy for a Data-driven Society. The Journal of Community Informatics, 12(3).
Fostering trust with
the audience by
revealing the data
behind the story.
Presenting the story in
a way that allows readers
to further explore data
for themselves.
Embedding data
representations that
incite interaction of
the audience.
7
BACK
TO
INDEX
About
the
Storyteller
For whom is telling data stories important?
A science communicator
A (science/data) journalist
A media or communications professional
who is concerned with scientific issues
Involved in engaging local communities
with data issues
Interested in telling stories with data
for other reasons
IF YOU ARE…
THEN…
this tool serves
your potential
needs!
8
The five-steps approach
9
BACK
TO
INDEX
The
five-steps
approach
Storyteller sets out
five steps to help you
with the construction
of your data story
1. Finding the data
2. Finding the data story
3. Telling the data story
4. Presenting the data story
5. Involving the reader
10
BACK
TO
INDEX
The
five-steps
approach
Storyteller helps you find the data. It provides details to:
• Explore existing data sources
• Gather data yourself
• Ask the audience to contribute data
For instance, ‘Wat een kopje koffie’ zegt over de prijsverschillen in Nederland.
Don’t forget to share those data sources and how the data is collected (methods).
1. Finding the data
11
BACK
TO
INDEX
The
five-steps
approach
Storyteller helps you decide whether the data or the story should be the starting point.
In reality, this is a non-linear process in which both alternate.
2. Finding the data story
Data Analyst
Explore &Analyze
TELL A STORY
MAKE A STORY
EXPLORE DATA
Data Experts
Scripter Presenter & Audience
Order story pieces
Order story pieces
Story Material
Editor
Build
presentation
Share
story
Story Pieces Plot Shared Story
Make logical
connection
Gather facts
Graphic: Lee, B., Riche, N. H., Isenberg, P. & Carpendale, S. (2015). More Than Telling a Story:
transforming Data into Visually Shared Stories. IEEE Computer Graphics and Applications, 35(5), 84–90.
Received Story
Target
Audience
Settings
Medium
External Factors
Provide
input
12
BACK
TO
INDEX
The
five-steps
approach
THE MARTINI GLASS
Similar to the traditional
three-act story structure
• Starts with an ‘open’ interface
• Followed by a linear narrative
• Ends with an ‘open’ exploration
of data
THE SLIDESHOW
Multiple three-act story structures
• Sequentially offers linear storylines
switched with interaction points
• Set out the different storylines
one by one
• Create a clear overview of
complex topics
THE DRILL-DOWN
Most open-ended structure
• User decides how to explore
the story
• Present storylines that
are coherently connected
• No chronological order
3. Telling the data story
Storyteller presents three possible narrative structures
for participative science communications
Graphics: Segel, E. & Heer, J. (2010). Narrative Visualization: Telling Stories with Data. IEEE transactions on
Visualization and Computer Graphics, 16(6), 1139–1148.
13
BACK
TO
INDEX
The
five-steps
approach
Storyteller presents different ways
in how visuals, sound, or other sensory
aspects can support the story.
You’ll be encouraged to use traditional story structures
next to more creative and innovative presentation
formats, like audio or by using everyday objects.
4. Presenting the data story
NAPA
CARDS
can help you
decide!
See: http://napa-cards.net/
14
BACK
TO
INDEX
The
five-steps
approach
Storyteller introduces you to different
levels of participation in data storytelling,
ranging from no participation (consuming)
to actively participating by contributing
stories.
Most importantly, Storyteller helps you trigger
active participation to truly facilitate data literacy
skills and combat misinformation.
5. Involving the reader
none
low
high
DIFFERENT
LEVELS
OF
INVOLVEMENT
Add data storyline
Add data to storyline
Interpret data to
progress storyline
Interpret data to
discover storyline
Consume data story
A
B
C
D
E
15
BACK
TO
INDEX
Involving
the
reader
Add data storyline
A
Add data to storyline
B
Interpret data to
progress storyline
C
Examples of the different levels of involvement
none
low
high
Add data
storyline
Add data
to storyline
Interpret data
to progress
storyline
Interpret data
to discover
storyline
Consume
data story
A
B
C
D
E
16
BACK
TO
INDEX
Involving
the
reader
Interpret data to
discover storyline
Consume data story
D E
none
low
high
Add data
storyline
Add data
to storyline
Interpret data
to progress
storyline
Interpret data
to discover
storyline
Consume
data story
A
B
C
D
E
17
Find out more
18
BACK
TO
INDEX
Find
out
more
ParCos website
Authors
Catho Van Den Bosch			 Sandy Claes
Other ParCos tools
Discover the other tools for participatory science communication
developed within the ParCos project here.
Contact
Website
Email Email

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Parcos_Storyteller v3.pdf

  • 1. This method has been developed within ParCos. This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 872500. Storyteller How to tell your scientific data story to a wide audience?
  • 2. 2 Index About the storyteller 3 What? 4 For whom? 4 This document serves as an introduction to ParCos’ Storyteller 5 Why is telling data stories important? 6 For whom is telling data stories important? 7 The five-steps approach 8 Storyteller sets out five steps to help you with the construction of your data story 9 1. Finding the data 10 2. Finding the data story 11 3. Telling the data story 12 4. Presenting the data story 13 5. Involving the reader 14 Examples of the different levels of involvement 15 Find out more 17 Contact 18
  • 4. 4 BACK TO INDEX About the Storyteller What? The Storyteller is a guidebook designed to assist in the process of telling stories with data. In five steps, the interactive PDF guides the user through this process, from searching the data to identifying a relevant story and from choosing a fitting story structure to exploring ways of presenting it. It concludes with different stages of audience involvement. PDF Guidebook For whom? The guidebook helps anyone who wants to learn more about different considerations that are important for participatory and inclusive data storytelling.
  • 5. 5 BACK TO INDEX About the Storyteller This document serves as an introduction to ParCos’ Storyteller Storyteller is a tool designed to assist you in your process of telling stories with data. In five steps, the interactive pdf guides you through this process from searching the data to identifying a relevant story and from choosing a fitting narrative structure to exploring ways of presenting it. It concludes with different stages of audience engagement. By following this five-step approach, you will be encouraged to reflect on various considerations that are of importance for telling a participative and inclusive science/data story.
  • 6. 6 BACK TO INDEX About the Storyteller Why is telling data stories important? Drawing from the insight that data storytelling helps tackling misinformation by stimulating data literacy skills, Storyteller helps you with: Costera Meijer, I. (2013). WHEN NEWS HURTS. Journalism Studies, 14(1), 13–28. Wolff, A., Gooch, D., Cavero Montaner, J. J., Rashid, U. & Kortuem, G. (2016). Creating an Understanding of Data Literacy for a Data-driven Society. The Journal of Community Informatics, 12(3). Fostering trust with the audience by revealing the data behind the story. Presenting the story in a way that allows readers to further explore data for themselves. Embedding data representations that incite interaction of the audience.
  • 7. 7 BACK TO INDEX About the Storyteller For whom is telling data stories important? A science communicator A (science/data) journalist A media or communications professional who is concerned with scientific issues Involved in engaging local communities with data issues Interested in telling stories with data for other reasons IF YOU ARE… THEN… this tool serves your potential needs!
  • 9. 9 BACK TO INDEX The five-steps approach Storyteller sets out five steps to help you with the construction of your data story 1. Finding the data 2. Finding the data story 3. Telling the data story 4. Presenting the data story 5. Involving the reader
  • 10. 10 BACK TO INDEX The five-steps approach Storyteller helps you find the data. It provides details to: • Explore existing data sources • Gather data yourself • Ask the audience to contribute data For instance, ‘Wat een kopje koffie’ zegt over de prijsverschillen in Nederland. Don’t forget to share those data sources and how the data is collected (methods). 1. Finding the data
  • 11. 11 BACK TO INDEX The five-steps approach Storyteller helps you decide whether the data or the story should be the starting point. In reality, this is a non-linear process in which both alternate. 2. Finding the data story Data Analyst Explore &Analyze TELL A STORY MAKE A STORY EXPLORE DATA Data Experts Scripter Presenter & Audience Order story pieces Order story pieces Story Material Editor Build presentation Share story Story Pieces Plot Shared Story Make logical connection Gather facts Graphic: Lee, B., Riche, N. H., Isenberg, P. & Carpendale, S. (2015). More Than Telling a Story: transforming Data into Visually Shared Stories. IEEE Computer Graphics and Applications, 35(5), 84–90. Received Story Target Audience Settings Medium External Factors Provide input
  • 12. 12 BACK TO INDEX The five-steps approach THE MARTINI GLASS Similar to the traditional three-act story structure • Starts with an ‘open’ interface • Followed by a linear narrative • Ends with an ‘open’ exploration of data THE SLIDESHOW Multiple three-act story structures • Sequentially offers linear storylines switched with interaction points • Set out the different storylines one by one • Create a clear overview of complex topics THE DRILL-DOWN Most open-ended structure • User decides how to explore the story • Present storylines that are coherently connected • No chronological order 3. Telling the data story Storyteller presents three possible narrative structures for participative science communications Graphics: Segel, E. & Heer, J. (2010). Narrative Visualization: Telling Stories with Data. IEEE transactions on Visualization and Computer Graphics, 16(6), 1139–1148.
  • 13. 13 BACK TO INDEX The five-steps approach Storyteller presents different ways in how visuals, sound, or other sensory aspects can support the story. You’ll be encouraged to use traditional story structures next to more creative and innovative presentation formats, like audio or by using everyday objects. 4. Presenting the data story NAPA CARDS can help you decide! See: http://napa-cards.net/
  • 14. 14 BACK TO INDEX The five-steps approach Storyteller introduces you to different levels of participation in data storytelling, ranging from no participation (consuming) to actively participating by contributing stories. Most importantly, Storyteller helps you trigger active participation to truly facilitate data literacy skills and combat misinformation. 5. Involving the reader none low high DIFFERENT LEVELS OF INVOLVEMENT Add data storyline Add data to storyline Interpret data to progress storyline Interpret data to discover storyline Consume data story A B C D E
  • 15. 15 BACK TO INDEX Involving the reader Add data storyline A Add data to storyline B Interpret data to progress storyline C Examples of the different levels of involvement none low high Add data storyline Add data to storyline Interpret data to progress storyline Interpret data to discover storyline Consume data story A B C D E
  • 16. 16 BACK TO INDEX Involving the reader Interpret data to discover storyline Consume data story D E none low high Add data storyline Add data to storyline Interpret data to progress storyline Interpret data to discover storyline Consume data story A B C D E
  • 18. 18 BACK TO INDEX Find out more ParCos website Authors Catho Van Den Bosch Sandy Claes Other ParCos tools Discover the other tools for participatory science communication developed within the ParCos project here. Contact Website Email Email