Data — Guidelines for Reviewers
Rating the Manuscript
We ask reviewers to consider following aspects when reviewing datasets:
- Data Description:
- Are the data original and is the source well defined?
- Are the methodologies of data collection described with sufficient detail to allow another researcher to reproduce the results?
- Do the metadata accurately describe the data and adhere to relevant disciplinary or international standards?
- Is the copyright license described and appropriate (open licenses are preferred, but authors may use a different license if there is a compelling reason)?
- Data Quality:
- Is the dataset technically sound?
- Were appropriate quality control measures employed and described?
- Are possible sources of error and noise appropriately described?
- Data Access, Archiving and Metadata
- Have the data been archived appropriately with a unique identifier (preferably an assigned doi number)?
- Are the data in a format that can be reused by others (common, non-proprietary formats are preferred)?
- Are the data available for reuse?
For general guidance for peer reviewers, see here.