Sharing your data
Research data can take many forms but is essentially the underlying evidence upon which the claims made in your publication rely.
Sharing these data publicly helps to maximize the discoverability and impact of your research. It also improves the robustness of the research process, supporting validation, research transparency, reproducibility and replicability of results.
Some funders and publishers now make data sharing a requirement and it’s become increasingly commonplace for some subject areas to make data available to everyone.
Our guide to sharing your research data explores in more detail:
- What research data is
- The benefits of sharing your data
- Common myths that sometimes stop people sharing their data
- Ethical considerations of data sharing
There is also step-by-step guidance on:
Taylor & Francis Group data sharing policies
Taylor & Francis and Routledge journals
Taylor & Francis offers a suite of standardized data sharing policies. When submitting your article, please check the Instructions for Authors for the journal you are submitting to, to find out what data policy applies.
You should also check whether your funder has a data sharing policy. If the policy for your funder and the journal differ, you’ll need to follow the more progressive policy, i.e. the policy that encourages a greater level of data sharing.
Click on the policies below for full details of the steps you need to take:
A journal with our basic policy encourages you to share and make your data open where this does not violate protection of human subjects or other valid subject privacy concerns. You are also encouraged to cite data and provide a data availability statement.
By submitting to a journal with this policy, you agree to make your data available upon reasonable request. It is, however, up to you to determine whether a request is reasonable.
You must make your data freely available, under the license of your choice.
You must make your data freely available, under a license allowing re-use by any third party for any lawful purpose. You will need to make sure that your data are findable and fully accessible.
Choosing open data allows maximum reuse of the dataset you’ve generated, enabling it to make as big an impact as possible. Our guide to open data explores the many benefits of choosing this option and explains how you can make your own data open.
You must make their data freely available, under a license allowing re-use by any third party for any lawful purpose. Additionally, data shall meet with FAIR (findable, accessible, interoperable and reusable) standards as established in the relevant subject area.
A number of our journals in earth, space and environmental sciences are introducing an open and FAIR data sharing policy as part of COPDESS (The Coalition for Publishing Data in the Earth and Space Sciences). Find out more about the initiative and which journals are included.
The F1000Research open science platform has an open data policy. Every article should include citations to repositories that host the data underlying results, together with details of any software used to process these results. You can find out more about F1000Research’s policies around data management in their data guidelines.
Routledge and CRC Press books
Our books data sharing policy encourages authors of all new books and chapters to share and make data available according to FAIR principles. Authors are further encouraged to cite data and include a data availability statement in their publication.
Data sharing support
Frequently asked questions
Find answers to common questions on data sharing in our dedicated FAQs section. This is updated regularly based on the questions we’re asked.
Guide to sharing your data
Our data guide for researchers has all the information you need, at each stage of the process, to share your data.
Got a question about data management for your F1000Research submission? We’ve got you covered. Explore a range of resources for researchers to ensure you comply with our open data policy.