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Why
data
journals?
Amsterdam
manifesto:
4.
A
data
citaHon
in
a
publicaHon
should
resemble
a
bibliographic
citaHon
and
be
located
in
the
publicaHon’s
reference
list.
• Data
can
(and
should)
be
cited
using
DataCite
DOIs
in
arHcles,
but
this
is
not
enough.
• Researchers
understand
the
value
of
papers
• University
departments
and
the
REF
understand
papers
• Researchers
know
where
to
put
paper
refs,
no
need
for
extra
guidelines
• Publishers
rouHnely
strip
out
anything
else
• Familiar
impact
metrics
can
be
collected
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What
is
a
data
paper?
A
data
paper
is
not…
• …
a
research
paper.
A
data
paper
only
describes
a
dataset.
But
it
will
reference
research
papers
that
are
based
on
the
data.
• …
simply
replicaHon
of
the
informaHon
in
a
data
repository.
A
data
paper…
• …
describes
the
methodology
with
which
a
dataset
was
created.
• …
describes
the
dataset
itself.
• …
details
the
reuse
potenHal
of
the
data.
• …
is
o_en
authored
by
a
data
scienHst.
• …
is
citable,
enabling
reuse
to
be
tracked.
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1. The
paper
contents
a. The
methods
secHon
of
the
paper
must
provide
sufficient
detail
that
a
reader
can
understand
how
the
resource
was
created.
b. The
resource
must
be
correctly
described.
c. The
reuse
secHon
must
provide
concrete
and
useful
suggesHons
for
reuse
of
the
reuse.
2.
The
deposited
resource
a. The
repository
must
be
suitable
for
resource
and
have
a
sustainability
model.
b. Open
license
permits
unrestricted
access
(e.g.
CC0).
c. A
version
in
an
open,
non-‐proprietary
format.
d. Labeled
in
such
a
way
that
a
3rd
party
can
make
sense
of
it.
e. Must
be
acHonable.
Peer
review
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• The
journal
needs
to
be
built
within
the
community,
and
to
adapt
to
its
requirements
Important
principles
• Community
ownership
and
trust
is
important
• Full
transparency
in
processes
and
finances
• Sustainability
• Low
barriers
essenHal
• No
to
low
fees
• Quick
online
authoring
• Repository
integraHon
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Setup
• Editors
• Editor
in
Chief
• Managing
Editor
(in-‐house)
• Advisory
board
• Full
range
of
subdisciplinary
representaHon
• PromoHon
of
journal
• Assist
in
bringing
in
publicaHons
• Advice
on
peer
review,
repositories
• Data
peer
reviewers
• Range
of
subdisciplinary
experHse
• Repositories
• NaHonal,
subject,
insHtuHonal,
journal-‐level
• Paper
structure
• Authors