PNAS

An empirical analysis of journal policy effectiveness for computational reproducibility

Publishing date: 2018-03-13 Published on: PNAS summary: A key component of scientific communication is sufficient information for other researchers in the field to reproduce published findings. For computational and data-enabled research, this has often been interpreted to mean making available the raw data from which results were generated, the computer code that generated the findings, and any additional information needed such as workflows and input parameters.