The document outlines key takeaways for effective data storytelling, emphasizing the importance of tool selection, simplicity, sustainability, transparency, and narrative context. It also highlights future considerations such as the need for mobile-friendly content, increased data literacy, and the evolving definition of journalism in relation to data. Overall, the emphasis is on enhancing the impact and relevance of data in storytelling.

1. STEVE
SUO
@
JASON
BERNERT
@
DAMIAN
RADCLIFFE
@damianradcliffe
AUDREY
CARLSEN
@
Principles of Data
Storytelling

2. Data
stories
are
everywhere…

6. 10
takeaways
for
storytellers
Damian
Radcliffe
Carolyn
S.
Chambers
Professor
in
Journalism
@damianradcliffe

7. Implementation
5
x
Tips

8. 1.
Choice
of
tools/visual
methods
matters
Impacts
on
readability,
emphasis
and
representation.

9. 2.
Keep
it
simple
Don’t
be
convoluted
for
the
sake
of
it.

10. 3.
Consider
sustainability
How
easily
can
work
be
refreshed
and
updated
to
remain
relevant?

11. 4.
Show
your
workings
Especially
if
you’re
going
to
criticize
public
bodies
for
not.

12. 5.
Remember
you’re
still
a
storyteller
Data
without
context
frequently
tells
us
nothing.

13. 5
x
Considerations
The
Future

14. 1.
*Must*
be
mobile
friendly
Already
a
leading
media
device
for
many
audiences.

15. 2.
Personalization
Search
+
interrogation.

16. 3.
We
will
all
need
to
be
data
literate
It
will
no
longer
be
“cool”
to
not
get
math
or
statistics.

17. 4.
Includes
knowing
how
to
protect
data
Sources
may
all
be
electronic.
So
encryption
matters.

18. 5.
It
won’t
be
called
data
journalism
It
will
just
be
journalism.