Research Data Policy

AIP Publishing believes that all datasets underlying the conclusions of the paper should be available to readers. We encourage authors to deposit their datasets in publicly available repositories (where available and appropriate) or present them in the main manuscript.

Data Availability Statements

If you’re submitting your paper to an AIP Publishing journal, you’ll be asked to provide a data availability statement with your submission, informing readers where to go to request or access the underlying data of the article.

Please be aware that the following journals require that any new data and/or code must be made publicly available either in a repository of the author’s choosing or within the manuscript itself at the time of manuscript submission:

• APL Computational Physics
• APL Machine Learning

Templates for Data Availability Statements for Author Use

Below is a list of standard templates for the text that will appear in the “Data Availability Statement” section of your article. Not all templates are acceptable in journals that require data or code deposition at the time of manuscript submission. When multiple data sets are being described, please provide information regarding the data type for the benefit of the reader.

Download Data Availability Statement Templates

Availability of data	Template for data availability statement	Acceptable in journals that require data and/or code deposition at the time of submission?
Data available on request from the authors	The data that supports the findings of this study are available from the corresponding author upon reasonable request.	No
Data available in article or supplementary material	The data that supports the findings of this study are available within the article [and its supplementary material].	Yes
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] at http://doi.org/[doi], reference number [reference number].	Yes
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], reference number [reference number].	Yes
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.	Yes
Data generated at a central, large scale facility	Raw data were generated at the [facility name] large scale facility. Derived data supporting the findings of this study are available from the corresponding author upon reasonable request.	Yes
Embargo on data due to commercial restrictions	The data that support the findings will be available in [repository name] at [DOI link] following an embargo from the date of publication to allow for commercialization of research findings.	Yes
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 [state restrictions such as privacy or ethical restrictions].	Yes
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 upon reasonable request and with the permission of [third party].	Yes

Data Citations

When data is available and linked, authors will need to provide a citation of the data in their reference list.

Citing a dataset on the reference list:
Required elements: Creator(s), Publication Year, Title, Publisher, and Identifier
Optional elements: Version and Resource Type

FAQs

What is a data availability statement?

A data availability statement tells the reader where the data associated with a paper is available, and where applicable, includes links to the data set.

What counts as data?

By data we mean the minimal dataset that would be necessary to interpret, replicate, and build upon the findings reported in the article. Some communities may have more specific standards and definition of data.

Which journals does this policy apply to?

Data availability statements are required for research published in all AIP Publishing journals.

How should I write a data availability statement?

AIP Publishing has prepared a set of standard templates that you can use or adapt (see above). Note that not all templates are acceptable in journals that require data and/or code deposition at the time of manuscript submission.

Why should I use a data repository?

Data repositories make data more accessible and discoverable than sharing data via supplementary information files. Public repositories generally assign a Digital Object Identifier (DOI) to datasets which allows them to be cited in reference lists. Repositories also support domain-specific data reporting standards and provide standardized ways of structuring and identifying data.

How do I choose a data repository?

Some research communities are served by specific data repositories; your institutional librarian, funder, or journal editor may make a recommendation. Researchers can also use a general repository – such as Zenodo, figshare or Dryad – that accept data from all disciplines. Certified repositories can also be found through the Registry of Research Data Repositories (re3data.org), FAIRsharing.org, or CoreTrustSeal.

Can institutional repositories be used for data?

AIP Publishing authors may host their data in their institutional or project specific repository.

Why should I cite data?

Citing and referencing data in journals supports reproducible research, facilitates the tracking of data reuse, and may help assign credit for contributions to research. AIP Publishing endorses the Joint Declaration on Data Citation Principles, which outlines the importance of data resources in scientific communication.

How do I cite research data?

We encourage datasets to be formally cited in references lists when the dataset is hosted in a public repository that assigns Digital Object Identifier (DOI) to datasets:

Required elements: Creator(s), Publication Year, Title, Publisher, and DOI

Optional elements: Version and Resource Type