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Reproducibile

Reproducibile is the Italian adjective corresponding to reproducible. In science and data work, a result is considered reproducibile when independent researchers can obtain the same outcome using the original data and methods. It is a central aim of rigorous reporting and a key component of transparent research practices.

Achieving reproducibility typically requires sharing data, code, and detailed methodologies; documenting software environments; and using version

Distinctions exist between reproducibility and replicability. Reproducibility often refers to obtaining identical results from the same

Despite its benefits, reproducibility faces challenges such as data privacy, proprietary software, computational complexity, limited metadata,

See also: open science, data sharing, FAIR data principles, replication, transparent reporting.

control
and
automated
workflows.
Common
practices
include
publishing
code
in
public
repositories,
providing
data
with
clear
licenses,
and
describing
preprocessing
steps,
parameters,
and
random
seeds
where
applicable.
data
and
analysis,
while
replicability
involves
confirming
findings
with
new
data
or
under
changed
conditions.
The
terminology
varies
by
field,
contributing
to
ongoing
discussions
about
research
reliability.
and
the
cost
of
maintaining
usable
code
and
data
over
time.
Initiatives
in
open
science,
data
standards,
and
policy
changes
by
journals
and
funders
aim
to
improve
reproducibility
across
disciplines.