Data Journalism lecture - Week 1: Introduction to Data Journalism
Lecture date: 9 Sep 2015
MA in Journalism
National University of Ireland, Galway
Title slide image from The Data Journalism Handbook
2. Who
am
I?
Research
Group
Leader
&
Research
Fellow
Insight
News
Lab
Insight
Centre
for
Data
AnalyBcs,
NUIG
Adjunct
Lecturer
&
Programme
Board
Member
of
Journalism
Studies
NaBonal
University
of
Ireland,
Galway
Former
Lead
Data
ScienBst
at
The
Irish
Times
Founder
of
Irish
Times
Data
Founder
of
Hacks/Hackers
Dublin
3. Outline
of
today
What
is
Data
Journalism?
Why
is
it
important?
Some
examples
Data
Journalism
Process
What
we
will
learn
Assessment
7. data
information
wisdom
knowledge
DISCRETE
ELEMENTS:
FACTS,
SYMBOLS,
SIGNALS
of
no
use
unBl
in
a
usable
format
UNDERSTANDING
RELATIONS
‘who’,
‘what’,
‘when’,
‘where’
UNDERSTANDING
PATTERNS
‘how’
UNDERSTANDING
PRINCIPALS
‘why’
G
Bellinger,
D
Castro,
A
Mills,
Data,
informaBon,
knowledge,
and
wisdom,
2004
11. Role of Data Journalists:
Beautification
Ugly
data
-‐>
beauBful
informaBon
&
knowledge
&
Storytelling
12. Data
Journalism
as
it
is
known
now
is
just
over
5
years
old.
BUT
It
has
its
roots
in
Computer
Assisted
reporBng
(CAR),
which
goes
back
to
1960s.
13.
Data
Journalism
is
the
future.
Sir
Tim
Berners-‐Lee
Founder
of
the
World
Wide
Web
14. “Data
Journalism
is
the
future.
Journalists
need
to
be
data-‐savvy.
It
used
to
be
that
you
would
get
stories
by
chadng
to
people
in
bars,
and
it
sBll
might
be
that
you’ll
do
it
that
way
some
Bmes.
But
now
it’s
also
going
to
be
about
poring
over
data
and
equipping
yourself
with
the
tools
to
analyze
it
and
picking
out
what’s
interesBng.
And
keeping
it
in
perspecBve,
helping
people
out
by
really
seeing
where
it
all
fits
together,
and
what’s
going
on
in
the
country”,
and
in
the
world.
Sir
Tim
Berners-‐Lee
Data
Journalism
Handbook