Marcia McNutt, from June last year the editor in chief of Science, has issued a new reproducibility policy for the journal.
Science advances on a foundation of trusted discoveries. Reproducing an experiment is one important approach that scientists use to gain confidence in their conclusions. Recently, the scientific community was shaken by reports that a troubling proportion of peer-reviewed preclinical studies are not reproducible. Because confidence in results is of paramount importance to the broad scientific community, we are announcing new initiatives to increase confidence in the studies published in Science. For preclinical studies (one of the targets of recent concern), we will be adopting recommendations of the U.S. National Institute of Neurological Disorders and Stroke (NINDS) for increasing transparency.* Authors will indicate whether there was a pre-experimental plan for data handling (such as how to deal with outliers), whether they conducted a sample size estimation to ensure a sufficient signal-to-noise ratio, whether samples were treated randomly, and whether the experimenter was blind to the conduct of the experiment. These criteria will be included in our author guidelines.
This is a start I suppose. I can't see anything about availability of data and code, which is always going to be the starting point for reproducibility. Still, every little helps.
Reader Lance Wallace sends this further excerpt:
Because reviewers who are chosen for their expertise in subject matter may not be authorities in statistics as well, statistical errors in manuscripts may slip through. For that reason…we are adding new members to our Board of Reviewing Editors from the statistical community to ensure that manuscripts receive appropriate scrutiny in their methods of data analysis.
Which is definitely a win.