Research Data Policy
GYAP is committed to supporting open scientific exchange and enabling our authors to apply best practices in research data sharing and archiving. We encourage all article authors to share their research data, including, but not limited to, protocols, analytical methods, raw and processed data, code, software, algorithms, and study materials.
Data should be FAIR (Findable, Accessible, Interoperable, and Reusable) so that other researchers can locate and use it.
We recommend that data and code be deposited in a trusted repository that allows for maximum reuse. If this is not possible, authors are encouraged to share the specific reason in the Data Availability Statement and to make this material available to interested researchers upon request. Data sharing policies refer to the minimum set of data that supports the core results of a published study. The data generated should be publicly available and cited in accordance with GYAP guidelines.
Where ethical, legal, or privacy concerns exist, data should not be shared. Authors should clarify the status of data availability at the time of submission and make clear any limitations or exceptions in the Data Availability Statement. Authors should ensure that shared data complies with the consent given by participants for the use of confidential data. Authors should ensure that the publication of such data does not compromise the anonymity of participants or violate local data protection laws. In situations where access is restricted to protect confidential or private information, authors will be asked to clearly explain the restrictions on the dataset and make it available upon request, with permission for peer review purposes.
GYAP recognizes that some institutions and funding agencies only require research data to be retained for a limited period after the completion or publication of a project. However, GYAP's Data Availability Policy does not specify such limits, and we therefore encourage authors to archive their research data through appropriate data repositories or to provide us with minimal datasets in the supplementary material.
Data Availability Statements
Data availability statements are required for all articles published in GYAP. During the peer review process and editorial decision, authors may be asked to share existing datasets or raw data analyzed in the manuscript and indicate whether they will be available to other researchers after publication.
Authors will also be asked to provide details of any existing datasets that have been analyzed in the manuscript.
The recommended data availability statements are shown below:
|
Data availability status |
Recommended data availability statement |
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Data available in a public access repository |
The original data from this study can be accessed openly at [name of repository, e.g., FigShare] using the following DOI/URL or reference/access number: [DOI/URL or reference/access number]. |
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Data available upon request due to restrictions (e.g., privacy, legal, or ethical reasons) |
The data presented in this study can be requested from the corresponding author, who will provide access based on the specified reason for the restriction. |
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Third-party data |
Restrictions apply to the availability of these data. The data were obtained from [third parties] and are available [through the authors/at the URL] with permission from [third parties]. |
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Data embargo due to commercial restrictions |
The data supporting the findings will be available at [name of repository] [URL/DOI link] after an embargo from the date of publication in order to allow for the commercialization of the research results. |
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Restrictions apply to datasets |
The datasets presented in this article are not readily available because [include reason, e.g., the data are part of an ongoing study or are limited by technical or time constraints]. Requests for access to the datasets should be directed to [text]. |
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Data derived from public domain resources |
The data presented in this study are available at [name of repository], at [URL/DOI], with reference number [reference number]. These data have been obtained from the following resources available in the public domain: [list of resources and URLs]. |
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Data sharing is not applicable (only appropriate if no new data are generated or if the article describes entirely theoretical research) |
No new data were generated or analyzed in this study. Data sharing does not apply to this article. |
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The data are included in the article or in the supplementary material |
The original contributions presented in this study are included in the article/supplementary material. For more information, please contact the corresponding author(s). |
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Data set available upon request to the authors |
The raw data supporting the conclusions of this article will be provided by the authors upon request. |
Data preservation
GYAP recognizes that researchers, institutions, journals, and data repositories have a shared responsibility to ensure long-term data preservation, and GYAP encourages authors to select data repositories with this goal in mind.
GYAP invites authors to commit to keeping their datasets on their institutions' servers for at least five years after publication. Yes, during that period, if the repository where the data was initially stored disappears or the data is lost, we may ask authors to upload it to another repository and publish a correction or update to the original publication.
If authors remove their data from the original public repository or change the access criteria in a manner inconsistent with the publication, we may ask them to notify the editorial office as soon as possible.
Choosing an appropriate data repository
GYAP encourages the submission of data to community-recognized data repositories whenever possible. We recommend that authors visit re3data.org or fairsharing.org to identify registered and certified data repositories relevant to the field of social sciences if no community resources are available.
If the authors' institution has a generalist data repository, this can be used to host the authors' data, provided that the repository can generate DataCite DOIs and allows data to be shared under open terms of use (e.g., CC0 waiver).
Data repository criteria
When selecting a suitable repository, the following criteria should be considered to ensure that platforms:
- Ensure the long-term persistence and preservation of datasets in their published form;
- Provide stable identifiers for submitted datasets (in most cases, DOIs);
- Allow public access to data without barriers such as logins or paywalls;
- Support open licenses (in most cases, CC0 and CC-BY, or their equivalents, are required);
- Provide confidential review of submitted datasets without requiring reviewers to provide identifying information.
Data citation
Authors are encouraged to formally cite any datasets stored in external repositories that are mentioned in their manuscript, including the main datasets on which the submission focuses, as well as any other datasets used in the work. In the case of previously published datasets, authors should cite both the related research articles and the datasets themselves.
The staff of the journal's publisher verifies and requires proper citation of data prior to publication.
Computer code and software
For work in which novel computer code has been developed, authors should publish the code by depositing it in a recognized public repository or uploading it as supplementary information to the publication. The name and version of all software used should be clearly indicated.
Supplementary material
Additional data and files may be uploaded as a “dataset” during the manuscript submission process. Supplementary files will also be made available to referees as part of the peer review process. File formats of any type are accepted; however, we recommend that common, non-proprietary formats be used whenever possible.
Unpublished data
Restrictions on data availability should be indicated both during submission and in the manuscript. The phrase “data not shown” should be avoided: authors are encouraged to publish all observations related to the submitted manuscript as supplementary material. “Unpublished data” intended for publication in a manuscript that is planned, “in preparation,” or “submitted” but not yet accepted should be cited in the text, and a reference added to the “References” section. “Personal communications” should also be cited in the text, and a reference added to the “References” section.
