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Data science relies on working across datasets, teams, disciplines and geographies. Collaboration is crucial, as well as key frameworks. In order to be translatable to patient care, the learning health systems framework helps to conceptualize where healthcare data sits in science, care and evidence domains. Knowledge of key competencies and professions in informatics and data science will facilitate team working. Moreover, without awareness of the national and international datasets which may be available, the 'big picture' benefits of data science cannot be achieved.

Did you ever wonder how you can improve your data management and handling? Have you ever hoped for a clean and indisputable database that you could easily share with your collaborators? Understand the art of Data Stewardship and get a handle on your data! Data could yield great value when processed intelligently for medical data science but holds great risks when processing is lost in complexity. This online Data Stewardship course will guide you to steward your clinical data to aid data science developments, facilitate collaborative research, comply with privacy regulations, and ensure data integrity and quality. Together we will put data stewardship in practice with clinical decision-making tools, predictive models, and Artificial Intelligence (AI).

Did you ever wonder how you can improve your data management and handling? Have you ever hoped for a clean and indisputable database that you could easily share with your collaborators? Understand the art of Data Stewardship and get a handle on your data! Data could yield great value when processed intelligently for medical data science but holds great risks when processing is lost in complexity. This online Data Stewardship course will guide you to steward your clinical data to aid data science developments, facilitate collaborative research, comply with privacy regulations, and ensure data integrity and quality. Together we will put data stewardship in practice with clinical decision-making tools, predictive models, and Artificial Intelligence (AI).