Open data and materials policy

Data sharing

Language and Cognition requires authors to make available all data necessary to reproduce their study’s findings, preferably via an anonymous view-only link to the Open Science Framework repository or any other publicly accessible repository for data sharing that allows preserving anonymity (see, for example, this list of generalist repositories; in addition, subject-specific repositories such as the CLARIN repositories are also eligible, as long as they conform to the FAIR standards). 

• The repository must be shareable without restrictions at the time of review and should be kept open at all times, even after publication.
  The repository must include a license file that clearly states the conditions for re-use of the data. Wherever possible, we encourage the use of permissive Creative Commons licenses.

• The dataset should have a persistent identifier, preferably a DOI. (Most pertinent repositories easily allow users to generate DOIs.) 
• Besides the data, the repository should also contain all materials needed to reproduce the statistical analysis (e.g., R scripts, Python scripts). 

Please mention the link to the repository within the body of the text (i.e., the Methods section), so that it is clear to readers that the data and analysis code is publicly available. 

Data availability

All manuscripts submitted to this journal must contain a Data Availability Statement, explaining where and how readers can access the data underpinning the research published in the manuscript. 

This section should contain at least one sentence detailing that the data and code is accessible, with a link to an anonymized repository. The repository should contain a detailed description of the data structure as well as all relevant metadata.

The open data and materials policy will be strictly enforced unless specific legal or ethical restrictions prohibit sharing of a dataset, in which case authors should explicitly state this and indicate how others may obtain access to the data. For data with access restrictions (e.g., proprietary corpora, data that cannot be shared without breaking anonymity of participants), there is no requirement to share the full raw data, but repositories should at least contain the summary data that is used for statistical analysis.