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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

Data and Code Availability Standard

DOI

The Data and Code Availability Standard (DCAS) is a standard for sharing research code and data, endorsed by leading journals in social sciences. See https://datacodestandard.org/ for more information.

README template

DOI

Please cite as

Lars Vilhuber, Connolly, Marie, Koren, Miklós, Llull, Joan, and Morrow, Peter. 2022. “A Template README for Social Science Replication Packages”. Zenodo. https://doi.org/10.5281/zenodo.7293838.

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 for authors

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

Out of date.

This guidance has two audiences:

See Verification guidance

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.

See Journal Policy Pages

If you see a journal absent from this list, please suggest an addition (Github login required).

Guidance to journals

FAQ

See our growing FAQ. If you have questions or answers to add, please notify us by creating a new issue.