Data and Code Guidance by Data Editors
Guidance for authors wishing to create data and code supplements, and for replicators.
Unofficial guidance on various topics by Social Science Data Editors
README template
The template README provided on this website is in a form that follows best practices as defined by a number of data editors at social science journals.
The most recent version is available at https://social-science-data-editors.github.io/template_README/.
Guidance on creating replicable data and program archives
This guidance is for the author wanting to create a replication archive.
See Requested information for the information the Data Editor may request from you, prior to the acceptance of your paper for publication.
Guidance on testing replicability of code
This guidance has two audiences:
- the author wanting to verify whether her code passes muster as a replicable archive
- the replicator wanting to verify the replicability of such an archive
Journal-specific policies
Below is a selective list of policies from journals that actively verify compliance with policies through review of data, code, and documentation.
If you see a journal absent from this list, please suggest an addition (Github login required).
FAQ
See our growing FAQ. If you have questions or answers to add, please notify us by creating a new issue.