Imaging and Workflows
Handling Biomedical Images and Sharing Reproducible Workflows
Expert of the month
Curation Officer. Digital Research Alliance of Canada
Daniel received his Ph.D. in neuroscience from Ruhr University Bochum in Germany, focusing on rodent models of stroke and glial biology. He is passionate about statistical modeling and research data management and stewardship. After completing a postdoctoral fellowship at Laval University in Quebec, Daniel joined the Digital Research Alliance of Canada as a research data curator for the Federal Research Data Repository (FRDR). In this role, he promotes FAIR data practices, metadata standards, and long-term preservation strategies to researchers across disciplines.
Seminar/Workshop
Monday, September 22, 2025 at 4 pm EST
Virtual Event on Zoom (register for link)
In the age of data-intensive neurobiology, imaging technologies produce enormous amounts of complex data. However, these images are often poorly documented, inconsistently analyzed, and inaccessible to others. This presentation invites researchers to consider a fundamental question: What is required to make bioimaging data truly reusable and reproducible? Through the lens of current challenges and emerging solutions, we explore how thoughtful metadata practices, standardized formats, and open-source tools can transform isolated image files into rich, shareable research objects. We delve into community-driven guidelines and practical tools, such as the MicroMeta app and OMERO, that help researchers capture essential experimental context. We highlight how reproducible raw data and analysis workflows promote transparency. Data sharing is not merely a compliance exercise; it is a professional and ethical commitment to the scientific community.