Keywords: education, data science culture, team building, tools, resources, practical recommendations
This talk will describe the experience of leading the OHSU Evaluation Core team through the transition from a data management and analysis infrastructure that relied on expensive, outdated, and ad-hoc tools, to one that engages open source data science, reproducibility, and collaboration.
The OHSU Evaluation Core conducts program evaluation and measurement of research impact at an academic health center. As a core resource, we work on projects across a spectrum of health interventions. We work with both quantitative and qualitative data and our data science evolution, by necessity, has required learning new tools for both types of analyses. Our stakeholders range from biomedical researchers to community health providers, most of whom do not have a background in data science.
The following questions will be discussed and recommendations will be provided.
How did we decide we needed to make the transition? What education tools were the most helpful for us? What didn’t work? What barriers did we encounter? How did we get all team members on board? How do we stay current with our knowledge and skills? How do we integrate with the data science community at our organization? What do we still have left to do? How can you help your colleagues who are like us?
The OHSU Evaluation Core is supported by the Oregon Clinical and Translational Research Institute and the Knight Cancer Institute.