Open Science Badges
A number of John Benjamins journals participate in the badge program of the OSF Center for Open Science, to encourage and promote open scientific practices by sharing datasets and/or materials. More information on this program can be found on the OSF Open Science Badges wiki.
Please note that this is not related to Open Access publication of the article itself. For more information on those options, please visit our Open Access information page.
To qualify for a badge, you must provide a DOI, URL, or other permanent path for accessing the specified information (dataset or materials) in a public, open-access repository. The DOI, URL, or other permanent path should point to the dataset or materials within the repository, not just to the repository. The materials must meet the criteria for the relevant category as provided by OSF Open Science Badges. You must sign a disclosure statement and upload this with your manuscript upon submission; the material should be available at the time of the peer review of your publication, so that the reviewers and editors can verify the availability of the materials. Adding a badge after publication is, in principle, not possible.
Qualifying public, open-access repositories are committed to preserving data, materials, code and/or registered analysis plans and keeping them publicly accessible via the web in perpetuity. Numerous data-sharing repositories are available through various Dataverse networks and hundreds of other databases available through the Registry of Research Data Repositories. Such repositories are, for instance, general repositories like Open Science Framework, DataCite, and Figshare, or subject-specific repositories like CLARIN, or IRIS digital repository of data collection materials in the field of second language research. Personal websites and most departmental websites do not qualify as repositories.
Authors who wish to publicly post third-party material in their data, materials, or preregistration plan must have the proper authority or permission agreement in order to do so.
The Open Data badge recognizes researchers who make their data publicly available, providing sufficient description of the data to allow researchers to reproduce research findings of published research studies.
The Open Materials badge recognizes researchers who share their research instruments and materials in a publicly-accessible format, providing sufficient information for researchers to reproduce procedures and analyses of published research studies.
The Open Analytic Code badge is earned by making publicly available the analytical code needed to reproduce the reported analyses.
The Preregistered badge recognizes researchers who preregister their research plans (research design and data analysis plan) prior to engaging in research and who closely follow the preregistered design and data analysis plan in reporting their research findings. The criteria for earning this badge include a date-stamped registration of a study plan in such venues as the Open Science Framework or Clinical Trials and a close correspondence between the preregistered and the implemented data collection and analysis plans.
If you qualify for one or more badges, the following note will be included (along with the images of relevant badges) with your published article:
“This article has been awarded an Open [state which badge] badge. All data [and/or materials] are publicly accessible via [state source; e.g. Open Science Framework, IRIS] at [link to study-specific page]. Learn more about the Open Practices badges from the Center for Open Science: https://osf.io/tvyxz/wiki.”
There are circumstances in which it is not possible or advisable to share any or all data, materials, or a research plan publicly. For example, there are cases in which sharing participants’ data could violate confidentiality. If you would like your article to include an explanation of such circumstances and/or provide links to any data or materials you have made available – even if not under conditions eligible to earn a badge – you could include an alternative (data availability) statement in your article.