Editing Reproducibility (section)

== Improving reproducibility in science ==
To enhance reproducibility, researchers and institutions can adopt several best practices:

Open data and code – making datasets and computational methods publicly available ensures that others can verify results.

Registered reports – some scientific journals now accept studies based on pre-registered research plans, reducing bias.

Standardized methods – using well-documented, standardized experimental protocols helps ensure consistent results.

Independent replication studies – funding agencies and journals should prioritize replication studies to strengthen scientific integrity.

With a narrower scope, ''reproducibility'' has been defined in [[computational science]]s as having the following quality: the results should be documented by making all data and code available in such a way that the computations can be executed again with identical results.

In recent decades, there has been a rising concern that many published scientific results fail the test of reproducibility, evoking a reproducibility or [[replication crisis]].