How should I disclose a data extraction error when submitting a revision? I was recently asked for a minor revision a review paper submitted, including more detailed reporting on parts of the analysis. When performing this additional analysis, I noticed a big data extraction error which had a small effect on the results and conclusions. It has no relevance to our main conclusion. This wasn't picked up by the peer reviewers, who were generally very positive about the paper and I think it has a good chance of being accepted.
Obviously I intend to correct this error and the conclusions derived from it. What is the proper way to go about disclosing this? My plan was to include this as a general note to all reviewers at the start of the response document before addressing all of their individual comments. Should I explictly point this out to the reviewers and explain, or just fix it without explanation and only address their comments directly in the response?
Any and all suggestions much appreciated.
It is probably better to point it out. A note to the editors/reviewers is fine. You and everyone want the best science to be published. Full disclosure is best.
I doubt that this would lessen the chance of acceptance, but it might draw a bit more scrutiny overall. But that is a good thing in general.
This is similar to pointing out other changes in the paper, those that were called for and those that you think are relevant to improving the paper.