Wiley is committed to a more open research landscape, facilitating faster and more effective research discovery by enabling reproducibility and verification of data, methodology and reporting standards. We encourage authors of articles published in our journals to share their research data including, but not limited to: raw data, processed data, software, algorithms, protocols, methods, materials.
Refer to the table below to understand the various standardized data sharing policy categories:
|
Data availability statement is published1 |
Data has been shared2 |
Data has been peer reviewed3 |
Example Wiley journals |
|
|---|---|---|---|---|
|
Encourages Data Sharing |
Optional |
Optional |
Optional |
|
|
Expects Data Sharing |
Required |
Optional |
Optional |
|
|
Mandates Data Sharing |
Required |
Required |
Optional |
|
|
Mandates Data Sharing and Peer Reviews Data |
Required |
Required |
Required |
Geoscience Data Journal |
1 A data availability statement confirms the presence or absence of shared data.
2 Links to data in data availability statements are checked to ensure they link to the data that the authors intended. If data have been shared in a data repository, the data availability statement includes a permanent link to the data. Shared data is also cited.
3 Quality and/or replicability of linked data are peer reviewed. Depending on the journal, this may be to peer review the quality of the data by ensuring that the results in the paper and the data in the repository align (for example, sample sizes and variables match), or it may be to peer review the replicability of the data to ensure that the claims presented in the journal article are valid and can be reproduced.
The journal encourages authors to share the data and other artefacts supporting the results in the paper by archiving it in an appropriate public repository. Authors may provide a data availability statement, including a link to the repository they have used, in order that this statement can be published in their paper. Shared data should be cited. All accepted manuscripts may elect to publish a data availability statement to confirm the presence or absence of shared data. For authors who have shared data: this statement will describe how the data can be accessed, and include a persistent identifier (e.g., a DOI for the data, or an accession number) from the repository where you shared the data. You may use the Standard Templates for Author Use or draft your own.
The journal expects that data supporting the results in the paper will be archived in an appropriate public repository. Authors are required to provide a data availability statement to describe the availability or the absence of shared data. When data have been shared, authors are required to include in their data availability statement a link to the repository they have used, and to cite the data they have shared. Whenever possible the scripts and other artefacts used to generate the analyses presented in the paper should also be publicly archived. If sharing data compromises ethical standards or legal requirements then authors are not expected to share it.
See the Standard Templates for Author Use section below to select an appropriate data availability statement for your dataset.
The journal requires, as a condition for publication, that the data supporting the results in the paper will be archived in an appropriate public repository. Authors are required to provide a data availability statement, including a link to the repository they have used, and to cite the data they have shared. Whenever possible the scripts and other artefacts used to generate the analyses presented in the paper should also be publicly archived. Exceptions may be granted at the discretion of the editor, for example, if sharing data compromises privacy of human data, ethical standards or legal requirements. If authors are unable to share data (for example, if sharing data compromises ethical standards or legal requirements) then authors are not required to share it and must describe restrictions in their data availability statement.
See the Standard Templates for Author Use section below to select an appropriate data availability statement for your dataset.
The journal requires, as a condition for publication, that the data supporting the results in the paper will be peer reviewed and archived in an appropriate public repository. Authors are required to provide a data availability statement, including a link to the repository they have used, and to cite the data they have shared. Whenever possible the scripts and other artefacts used to generate the analyses presented in the paper should also be publicly archived. Exceptions may be granted at the discretion of the editor. If sharing data compromises ethical standards or legal requirements then authors are not required to share it.
And:
Peer review of empirical data will be conducted to confirm the quality of the shared data, for example, that sample sizes match, that the variables described in the article are present as fields in the data repository, that data is complete; that data is properly labelled and described; and that it has the appropriate metadata for the kind of data being shared.
Or:
Peer review of empirical data will be conducted to confirm that the data reproduce the analytic results reported in the paper.
Below is a list of standard templates for the text that will appear in the "Data Availability Statement" portion of your article.. These statements adhere to guidelines set forth to comply with journals that have an "Expects Data" or "Mandates Data" policy.
| Availability of data | Template for data availability statement |
|---|---|
| Data openly available in a public repository that issues datasets with DOIs | The data that support the findings of this study are openly available in [repository name e.g “figshare”] at http://doi.org/[doi], reference number [reference number]. |
| Data openly available in a public repository that does not issue DOIs | The data that support the findings of this study are openly available in [repository name] at [URL], reference number [reference number]. |
| Data derived from public domain resources | The data that support the findings of this study are available in [repository name] at [URL/DOI], reference number [reference number]. These data were derived from the following resources available in the public domain: [list resources and URLs] |
| Embargo on data due to commercial restrictions | The data that support the findings will be available in [repository name] at [URL / DOI link] following an embargo from the date of publication to allow for commercialization of research findings. |
| Data available on request due to privacy/ethical restrictions | The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions. |
| Data subject to third party restrictions | The data that support the findings of this study are available from [third party]. Restrictions apply to the availability of these data, which were used under license for this study. Data are available [from the authors / at URL] with the permission of [third party]. |
| Data available on request from the authors | The data that support the findings of this study are available from the corresponding author upon reasonable request. |
| Data sharing not applicable – no new data generated | Data sharing is not applicable to this article as no new data were created or analyzed in this study. |
| Author elects to not share data | Research data are not shared. |
| Data available in article supplementary material | The data that supports the findings of this study are available in the supplementary material of this article |
| Data sharing not applicable – no new data generated, or the article describes entirely theoretical research | Data sharing not applicable to this article as no datasets were generated or analysed during the current study |
When data is available and linked, authors will need to provide a citation of the data in their reference list.
Data citation:
[dataset]Authors; Year; Dataset title; Data repository or archive; Version (if any); Persistent identifier (e.g. DOI)
The term [Dataset] will be removed before publication.
See below for Wiley’s recommended methods of choosing an appropriate data repository for your research:
For more information about Wiley's Data Sharing Policies, visit our Frequently Asked Questions page.