Journal of Economic Surveys,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 16, 2024
Abstract
Meta‐research
has
become
increasingly
popular
and
provided
interesting
insights
on
what
can
go
well
wrong
with
research
practices
scientific
studies.
Many
stakeholders
are
taking
actions
to
try
solve
problems
biases
identified
through
meta‐research.
However,
very
often
there
is
little
or
no
evidence
that
specific
recommendations
may
actually
lead
improvements
a
favorable
benefit‐harm
ratio.
The
current
commentary
offers
an
eclectic
overview
of
we
have
learned
from
meta‐research
efforts
(mostly
observational,
but
also
some
quasi‐experimental
experimental
work)
the
implications
this
be
for
changing
practices.
Areas
discussed
include
study
(and
differentiation)
genuine
effects
biases,
fraud
(including
impact
new
technologies),
peer
review,
replication
reproducibility
checks,
transparency
indicators,
interface
reward
systems.
offered
all
these
fronts
empirical
sometimes
pertains
even
large
extreme
biases.
Continued
surveys
results
offer
timely
updates
status
its
as
change
markedly
over
time.
should
seen
part
research,
not
separate
it,
in
their
concurrent
evolution.
Data,
Journal Year:
2024,
Volume and Issue:
9(10), P. 117 - 117
Published: Oct. 11, 2024
Introduction.
Open
Government
is
a
form
of
public
policy
based
on
the
pillars
collaboration
and
citizen
participation,
transparency
right
access
to
information.
With
help
information
communication
technologies,
governments
administrations
carry
out
open
data
initiatives,
making
reusable
datasets
available
all
citizens.
The
academic
community,
highly
qualified
personnel,
can
become
potential
reusers
this
data,
which
would
lead
its
use
for
scientific
research,
generating
knowledge,
teaching,
improving
training
university
students
promoting
reuse
in
future.
Method.
This
study
was
developed
using
quantitative
research
methodology
(survey),
distributed
by
email
one
context
block
six
technical
blocks,
with
total
30
questions.
collection
period
between
15
March
10
May
2021.
Analysis.
obtained
through
were
processed,
normalised,
analysed.
Results.
A
783
responses
obtained,
from
34
Spanish
provinces.
researchers
come
47
universities
21
centres,
19
areas
State
Research
Agency
are
represented.
In
addition,
platform
purpose
visualising
results
survey.
Conclusions.
sample
thus
representative
conclusions
be
extrapolated
rest
teaching
staff.
terms
gender,
balanced
men
women
(41.76%
W
vs.
56.58%
M).
general,
responding
survey
know
what
(79.31%)
but
only
50.57%
data.
main
conclusion
that
government
prove
useful
sources
science,
especially
such
as
Social
Sciences,
Industrial
Production,
Engineering
Society,
Information
Communication
Technologies,
Economics
Environmental
Sciences.
Journal of Economic Surveys,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 16, 2024
Abstract
Meta‐research
has
become
increasingly
popular
and
provided
interesting
insights
on
what
can
go
well
wrong
with
research
practices
scientific
studies.
Many
stakeholders
are
taking
actions
to
try
solve
problems
biases
identified
through
meta‐research.
However,
very
often
there
is
little
or
no
evidence
that
specific
recommendations
may
actually
lead
improvements
a
favorable
benefit‐harm
ratio.
The
current
commentary
offers
an
eclectic
overview
of
we
have
learned
from
meta‐research
efforts
(mostly
observational,
but
also
some
quasi‐experimental
experimental
work)
the
implications
this
be
for
changing
practices.
Areas
discussed
include
study
(and
differentiation)
genuine
effects
biases,
fraud
(including
impact
new
technologies),
peer
review,
replication
reproducibility
checks,
transparency
indicators,
interface
reward
systems.
offered
all
these
fronts
empirical
sometimes
pertains
even
large
extreme
biases.
Continued
surveys
results
offer
timely
updates
status
its
as
change
markedly
over
time.
should
seen
part
research,
not
separate
it,
in
their
concurrent
evolution.
