Large, frequently updated sets of data generated in the “real world”, often from different sources, can lead to breakthroughs that effectively impact clinical practice. This webinar will provide WSO members with key information about how to manage data collected in daily clinical practice or in research studies, in order to build or contribute to Big Data initiatives able to answer pressing questions in stroke care. One talk will revise basic concepts, one will focus on an example of an ongoing Big Data project in stroke rehabilitation research, and one will address guidelines to ensure quality of data collection, analysis, storage and sharing. This educational activity will prepare the audience to create or participate in networks or novel pragmatic trials in large stroke cohorts in different regions of the globe. This webinar will address tools to develop innovative therapies in general but also to promote research in acute care, prevention, diagnosis and rehabilitation.
- Big Data in stroke (Benjamim Bray)
- Data science and Open Science: impact on reproducibility in stroke rehabilitation research (Sook-Lei Liew)
- Data science: dos and don'ts (Edson Amaro Jr)