Data Sharing Policy

Journal of Politics, Social Sciences, and Communication (Jopsac) 

Data Sharing Policies

Wiley is committed to a more open research landscape, facilitating faster and more efficient research discovery by allowing data, methodology, and reporting standards to be reproducible and verified. We encourage authors of articles published in our journals to share their data on research, including but not limited to: raw data, processed data, software, algorithms, protocols, methods, materials.

Refer to the table below for recognizing the different policy areas for structured data sharing:

 

The 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

British Journal of Social Psychology

Mandates Data Sharing

Required

Required

Optional

Ecology and Evolution

Mandates Data Sharing and Peer Reviews Data

Required

Required

Required

Geoscience Data Journal
American Journal of Political Science

A statement regarding data availability confirms the presence or absence of shared data.

2 Links to data are reviewed in data availability statements to ensure they relate to the data expected by the writer. If data is stored in a data archive, then permanent access to the information is included in the data storage statement. It also cites mutual info.

3 The peer shall check the consistency and replicability of the related data. Depending on the publication, these can include peer-reviewing the validity of the data by ensuring that the paper findings and the archive data agree (for example, sample sizes and variables match), Or peer analyses can be made on the replicability on evidence to ensure that the statements stated in the journal paper are correct and reproducible.

 

Encourages Data Sharing

"[Journal] allows writers to exchange data and other resources that support paper findings by archiving them in a shared archive suitable for this purpose. Authors can include a statement on the availability of data, including a connection to the repository they used so that they can consist of this statement in their article. Shared data should be cited. "All manuscripts accepted may agree to publish a declaration of data available to validate the existence or absence of shared data. This sentence would explain how to access the data if you have shared data to have a permanent key (e.g., Data DOI, or accession number) from the registry with which you stored the details. You can use or draft your Basic Templates for Author Use.

 

Expects Data Sharing

“[Journal] expects evidence confirming the paper's findings to be stored in a reliable public repository. Authors are expected to make a declaration about the availability of data to explain the presence or absence of shared data. Where data is exchanged, Authors are expected to provide a connection to the archive they used in their data availability document and to reference the information they shared. The documents and other artifacts used to produce the analyzes provided in the paper should also be archived online whenever possible. If data sharing violates ethical principles or standard specifications, it is not expected that writers can participate.

See the Standard Templates for Author Use section below to select an appropriate data availability statement for your dataset.

 

Mandates Data Sharing

"[Journal] demands that the evidence confirming the paper's findings be stored in an accessible public registry, as a requirement for publishing. Authors are expected to make a comment about the availability of data, including a connection to the source they used, and to reference the data they shared. The documents and other artifacts used to produce the analyzes provided in the paper should also be archived online whenever possible. Exceptions can be given at the editor's discretion, for example, where data sharing violates the protection of human records, ethical principles, or legal standards. If authors are reluctant to exchange data ( for example, where sharing data jeopardizes moral norms or legal requirements), then authors are not allowed to share data and must explain limitations in their declaration on the availability of data.

See the Standard Templates for Author Use section below to select an appropriate data availability statement for your dataset.

 

Mandates Data Sharing and Peer Reviews Data

"[Journal] demands that the evidence documenting the paper's findings be peer-reviewed and deposited in an accessible public archive, as a requirement for publishing. Authors are expected to make a comment about the availability of data, including a connection to the source they used, and to reference the data they shared. The documents and other artifacts used to produce the analyzes provided in the paper should also be archived online whenever possible. Exceptions can be given at the Editor's discretion. If data sharing violates ethical principles or legal standards, then writers are not allowed to share.

And:

'Peer analysis of scientific evidence shall be carried out to validate the accuracy of the shared data, for example, that the sample sizes fit, that the variables described in the report are present as fields in the data archive, that the data is complete; that the data is correctly defined and identified; and that it has the necessary metadata for the form of data being shared.'

Or:

"There will be peer analysis of observational evidence to ensure that the research reproduces the scientific findings stated in the article."

 

Standard Templates for Author Use

Below is a list of basic text models that will appear in your article's portion of the "Information Availability Paragraph." These comments conform to requirements for publications that have a strategy of "Expects Data" or "Mandates Data."

Availability of data

Template for data availability statement

Openly available data in a shared archive, which issues DOI datasets

The data supporting the results of this analysis are freely accessible at HTTP:/doi.org/[doi], reference number [reference number] under [repository name, e.g., "figshare"].

Data are accessible freely in a shared archive and does not issue DOIs.

The data supporting the results of this analysis are freely available at [URL], reference number [reference number] under [repository name].

Data acquired by public domain tools

The data supporting the results of this analysis can be found at [URL / DOI], reference number [index number], under [repository name]. These data are extracted from the following public-domain information: [list information and URLs]

Data ban due to trade restrictions

Data supporting the results will be available in [repository name] at [URL / DOI link] following an embargo from the date of publication to allow study findings to be commercialized.

Data inaccessible on request due to data confidentiality / ethical constraints

The data supporting this study's results are available on request from the respective source. Owing to legal or ethical constraints, the data are not freely accessible.

Data subject to limitations from third parties

The data which support this study's findings are available from [third party]. Restrictions refer to the availability of such results, which were used for this analysis under license. Data is available [from the writers / at the URL] with [third party] permission.

Data available via the writers on request

The data supportive of this study's results are available from the referring author upon fair request.

Non-applicable data exchange-no new data generated.

This report does not refer to data exchange because no new data is generated or evaluated in this report.

The author opts not to exchange data.

Data on the study was not published.

Data available in the supplementary report

The data which supports the findings of this study are available in this article's supplementary material

When information 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.

 

How to choose an appropriate data repository

For Wiley's preferred strategies for selecting a suitable data repository for your study, see below:

  • Consult our Author Compliance Tool to review your journal chose and funder's data-sharing policies before uploading your work
  • To help locate licensed and accredited data sources related to your subject region, visit re3data.org or fairsharing.org

 

Frequently Asked Questions

For more information about Wiley's Data Sharing Policies, visit our Frequently Asked Questions page.