From Open Access to Open Data

brian.hole@ubiquitypress.com

www.ubiquitypress.com
/
@ubiquitypress

Brian
Hole

DPC
Workshop,
York,
5
July
2013

From
Open
Access
to
Open
Data


/
@ubiquitypress

The
Social
Contract

of
Science

•  ValidaKon

•  DisseminaKon

•  Further
development

ScienKﬁc
MalpracKce

•  Publishers

•  Researchers

•  Libraries,
repositories…

•  All
outputs


/
@ubiquitypress


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@ubiquitypress

Repositories

Modiﬁed
from:
XKCD


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@ubiquitypress

Metajournals
as
incen6ves


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@ubiquitypress

Why
data
journals?

Amsterdam
manifesto:

4.
A
data
citaKon
in
a
publicaKon
should

resemble
a
bibliographic
citaKon
and
be

located
in
the
publicaKon’s
reference
list.

•  Data
can
(and
should)
be
cited
using
DataCite
DOIs

in
arKcles,
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
rouKnely
strip
out
anything
else

•  Familiar
impact
metrics
can
be
collected


/
@ubiquitypress

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
replicaKon
of
the
informaKon
in
a

data
repository.

A
data
paper…

•  …
describes
the
methodology
with
which

a
dataset
was
created.

•  …
describes
the
dataset
itself.

•  …
details
the
reuse
potenKal
of
the
data.

•  …
is
oaen
authored
by
a
data
scienKst.

•  …
is
citable,
enabling
reuse
to
be
tracked.


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@ubiquitypress

General
structure

•  Title

•  Authors,
aﬃliaKons

•  Abstract

•  Keywords

•  Context

•  SpaKal
coverage,
temporal
coverage

•  Methods

•  Steps,
sampling
strategy,
quality
control,
constraints,

ethical
consideraKons

•  Dataset
descripKon

•  Object
names,
data
type,
format
names
&
versions,

creators,
creaKon
dates,
language,
license,
locaKon

(DOI),
publicaKon
date

•  Reuse
potenKal

•  Acknowledgements

•  References


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@ubiquitypress

1. The
paper
contents

a.  The
methods
secKon
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
secKon
must
provide
concrete
and
useful

suggesKons
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
acKonable.

Peer
review


/
@ubiquitypress

•  Data
journals
need
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
essenKal

•  Zero
to
low
fees

•  Quick
online
authoring

•  Repository
integraKon


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@ubiquitypress

PRIME:
Use
Case
#1

•  A
UCL
Researcher
deposits
data
in
an
external
subject
repository.

•  The
subject
repository
sends
the
metadata
and
DOI
of
the
data
to
the

UCL
insKtuKonal
repository
so
that
it
has
a
record
of
the
output.


/
@ubiquitypress

Text
and
data
mining

[the
benefits
of
text
mining
include]:
“increased
researcher
efficiency;

unlocking
hidden
informaKon
and
developing
new
knowledge;
exploring

new
horizons;
improved
research
and
evidence
base;
and
improving
the

search
process
and
quality.
Broader
economic
and
societal
benefits

include
cost
savings
and
producKvity
gains,
innovaKve
new
service

development,
new
business
models
and
new
medical
treatments.”

JISC

“The
downstream
value
of
high
quality,
high
throughput
chemical

informaKon
extracted
from
the
literature
can
be
measured
against

convenKonal
abstracKon
services…
with
a
combined
annual
turnover
of

perhaps
$500-‐1,000
million
dollars.
We
believe
our
tools
are
capable
of

building
the
next
and
beoer
generaKon
of
services.”

Peter
Murray-‐Rust


/
@ubiquitypress

“Licences
for
Europe”

•  Focus
was
to
create
new
licenses
to
enable
TDM

•  I.e.
researcher
would
need
one
license
from
each

publisher.
Much
TDM
work
involves
hundreds
of

publishers,
can
take
weeks
just
for
one.

•  Focus
pre-‐determined
from
start:
to
come
up
with

proposals
on
licenses
only.
Discussion
of
excepKons

allowed
but
not
to
be
part
of
recommendaKons.

•  Unbalanced
setup:
large
corporate
publishers,
technology

sector
poorly
represented.

Working
Group
4:
Text
and
Data
Mining

•  UP
walked
out
with
civil
society
groups.
Not
prepared
to

endorse
licenses
as
acceptable.

•  Tell
your
publisher
or
associaKon
that
this
is
important
to
you.

•  Workshop
at
the
BL
to
inform
policy
makers
in
late
Sept
2013.


/
@ubiquitypress

Links

hop://www.ubiquitypress.com

hop://www.metajnl.com

hop://www.ucl.ac.uk/prime

hop://www.ubiquitypress.com/Licence_for_Europe_Text_Data_Mining_Withdrawal


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