In-Line with Elsevier’s policy. The journal holds the copyright to the published articles and the associated data.

Principles:

The following principles underpin Elsevier’s research data policy:

• Research data should be made available free of charge to all researchers wherever possible and with minimal reuse restrictions.
• Researchers should remain in control of how and when their research data is accessed and used and should be recognized and valued for the investments they make in creating their research data and making it available.
• Expectations and practices around research data vary between disciplines and discipline-specific requirements need to be taken into account.
• Enabling effective reuse of research data is a shared aim and all stakeholders should work together to pursue this collectively, to find efficiencies and avoid duplication of effort.

In line with the principles set out above we will:

• Encourage and support researchers to share research data where appropriate and at the earliest opportunity, for example by enhancing our submission processes to make this easier.
• Standardize and align our author data guidelines where this is possible to make it easier for authors to understand how and where they can store and share their data, enabling optimal access and reuse.
• Make it easier for researchers to comply with data management requirements, for example by supporting data availability statements to enhance transparency.
• Develop tools and services to support researchers to discover, use and reuse data to further their research, for example by encouraging and enabling two-way linking of relevant datasets and publications using permanent standard identifiers.
• Ensure researchers can gain credit – and credit others - for sharing research data, by encouraging and supporting proper data citation practices.
• Work closely with the scientific community to establish data review practices to ensure that published research data is valid, properly documented, and can be re-used.
• Support the publication of research data as a separate, peer-reviewed output, to support reusability and provide additional ways for authors to gain credit for their work.