In this guide you'll find information, processes and essential practices you need to know when you publish your research data. You can either follow the step-by-step process on the left hand menu, or jump to a section you want to know more about. For assistance, please get in contact with the Library's data publishing experts and repository administrators at email@example.com.
These recommended best practices for data publication are based on FAIR principles, which focus on ensuring that research data are finable, accessible, interoperable, and reusable and become as valuable as is possible. To assess whether your data is fair; use ANDS data self-assessable tool.
When you publish your dataset, you need to employ good data practices to ensure that your data can be found, accessed and reused. Following the six steps listed below will help ensure your data is effectively published.
Publishing your research data and datasets in a data repository can allow for your data to be reused and cited in other works. Some repositories may even provide tools to track how people use your data, such as Altmetrics. Datasets can be published in their own right, without an associated research paper, which can allow you to gain recognition for work that may not qualify for authorship in a traditional research journal.
Datasets that are published to support your findings in a research paper can be reproduced by others allowing for your research to be verified and further strengthen the credibility of your work.
Increasingly, major journal publishers and funders are now making it a requirement that you share your research data upon publishing your research papers, providing your data to peer reviewers are also becoming the norm in the peer review process. Being one step ahead and having a reusable dataset ready to go can make your job a lot easier when it comes to publishing your research.
Video from DANS (Data Archiving and Networked Services), Netherlands explaining the benefits and challenges to sharing research data: https://youtu.be/HJbo-OAaJ1I