Many biomedical and population health journals and funders now require researchers to make their de-identified research data publicly available when they publish their results. Journals like PLOS, PNAS, Science, and Nature require de-identified data sharing as a prerequisite to publication. Funders like Howard Hughes, NIH, and the Gates Foundation now require that grantees make data public alongside their articles, and starting in 2023 NIH will require a data sharing plan from all grantees. But what does it mean to share your data? This page will give you an overview of the process.
UCSF now has guidance for sharing de-identified data to meet publisher and journal requirements. Check out the step-by-step guidance to learn how to plan for data sharing, and share data in accordance with UCSF policies.
Do you have consent to share?
If your research involves human subjects did you mention data sharing in your IRB and informed consent documents?
What data will you share? This is largely dependent on your field of research, but you should consider what someone else in your field would need to validate your results
What documentation needs to accompany the data? Data by itself is seldom useful. What other dictionaries, metadata, code would someone need to use your data?
Has your data been de-identified?
It is important to properly de-identify your data to reduce the risk of identifying individuals in a dataset. UCSF now offers a service to validate this.
Data repositories offer long-term preservation and access to research data. Some are completely open, while others have access restrictions suitable for sensitive data. Here you will find some popular data repositories for population health and health services research.
Have questions about preparing your data for sharing or selecting an appropriate data repository? Book a free 1:1 consultation with Data Services Librarian Ariel Deardorff, or send her an email at email@example.com.