We want to create an environment where researchers can open up research data in a way that is appropriate to their field. We believe that data should be Findable, Accessible, Interoperable and Reproduceable (FAIR).
Making your data available can increase the discoverability of your research, increasing its impact and ensuring you get credit for all your work. It also improves the robustness of the research process, supporting validation, research transparency, reproducibility, and replicability of results.
Most Taylor & Francis and Routledge journals already have a data sharing policy which encourages you to make the data associated with your article freely available for others. And a growing number of titles specifically require you to share your data under an open license which allows re-use by all.
As of April 2021, all new Taylor & Francis book publications entering the production process are encouraged to adhere to the Books Data Sharing Policy.
The F1000Research platform has a progressive open data policy, which requires all articles to include citations to repositories that host the data underlying results, together with details of any software used to process these results. Looking for guidance and support on how to prepare your data for submission to F1000Research? Explore the open data resources for researchers from F1000Research, including guides on understanding FAIR Data, data collection tips and tricks, and how to write your Data Availability Statement.
Find out more about how you can choose open data