Information For Authors

LADS publishes Data Papers (primary format) and Research Articles with mandatory data sharing.

Before you submit

• Ensure your submission includes a robust dataset, properly documented and openly available (supplementary files and/or a recognized open repository).

• Prepare essential documentation (recommended): README + data dictionary/codebook (variables, units, coding, missing values).

• Follow the journal’s Guidelines and Template to ensure formatting and metadata compliance.

Why publish with LADS?

• Your dataset becomes citable and easier to discover and reuse.

• Your work contributes to transparency and reproducibility across disciplines.

Privacy: author and reviewer data are used exclusively for editorial workflows (registration, submissions, peer review, communication, publication) and not for unrelated purposes.