Data and Code Sharing
Make your work more transparent and useful to other researchers by publishing reproducible research. Documenting your work in enough detail so that an independent researcher is able to follow the same steps, complete the same work, and obtain the same results means your research findings can be replicated. Over time, publishing reproducible research can further enhance your reputation for producing high-quality work.
Articles published with datasets/code meet the requirements of FAIR (Findable, Accessible, Interoperable, and Reusable) research, and receive increased visibility, which leads to a higher number of citations and boosted impact. Moreover, data and code sharing enhances the verifiability of the scholarly record, thus augmenting the quality of research and increasing public trust in it.
By leveraging the data and code sharing opportunities offered through IEEE DataPort and Code Ocean, you can maximize the impact of your research, ensure compliance with many funding agency open access requirements, and align with the principles of openness, transparency, and equity in the research and scholarly environment. IEEE also recommends figshare, Zenodo, and Dryad as alternative data repositories.
If you’ve already published your article with IEEE TAP, we encourage you to add your data or code to one of the recommended repositories retroactively. Just be sure to link to the published article so that your article’s readers can find the data or code that will help them understand the article more fully. Upload your data and code today and join researchers around the globe who store, share, and manage the data and code of their research.
Code Ocean is a cloud-based computational reproducibility platform, integrated with IEEE Xplore, that enables IEEE authors to publish their executable code associated with research articles. Code may be uploaded at submission, revision or after acceptance of the article at no cost. More information about code uploading can be found here: https://ieeexplore.ieee.org/Xplorehelp/faqs/code-ocean.
IEEE DataPort is a repository of datasets and data analysis tools. The repository is designed to accept all types of datasets, including Big Data datasets up to 2TB, and it provides both downloading capabilities and access to Cloud services to enable data analysis in the Cloud. For standard dataset uploads, there is no cost to the author. For open access datasets, it is free for a limited time with coupon code OPENACCESS1. Detailed instructions for submitting a dataset you can find in the IEEE DataPort website https://ieee-dataport.org/.
Watch the two short video tutorials which provide more in-depth information about research reproducibility: Enabling the Reproducibility of Your Research (runtime: 6:59) and Citing Data and Code (runtime: 7:52).