Hofelich Mohr, AliciaHunt, Shanda LChandler, MattMoore, Jennifer2025-01-282025-01-282025-01-28https://hdl.handle.net/11299/269486The authors of this research tool are members of the Data Curation Network's (DCN) Sensitive Data Interest Group. The Data Curation Network is comprised of professional data curators, data management experts, data repository administrators, disciplinary scientists, and scholars who strive to build a trusted community-led network of curators advancing open research by making data more ethical, reusable, and understandable. The Sensitive Data Interest Group is a DCN sub-group that creates guides and tools related to sensitive data (e.g., human participant, protected species, politically charged, etc.). The authors of this research tool represent three academic institutions: University of Minnesota (AHM and SLH), Princeton University (MC), and Washington University (JM).The "Data ownership & sharing decision tree" is a research tool the helps researchers decide 1) if they own the data they wish to share and 2) whether there are other factors beyond ownership that impact data sharing. This tool is especially helpful for those considering whether they can share human participant data. The PDF also links out to important background information and guidelines in certain decision pathways.en-USData sharingData ownershipDecision treeHuman participant dataOther