ADVANCING AN INTERDISCIPLINARY SCIENCE OF AGING THROUGH A PRACTICE-BASED DATA SCIENCE APPROACH

Teaching the Foundations of Data Science: An Interdisciplinary Approach

The paucity of human resource skills to acquire, effectively analyze, and extract valuable insights from data has overtaken data acquisition as the principal challenge facing data-inspired analysis in organizations (Dhar 2012). This scarcity motivates the need for training well-qualified data scientists able to generate insights from large amounts of complex data hoarded by organizations (Daven...

Advancing regulatory science, advancing regulatory practice

In an Editorial of Science in 2011, Margaret A. Hamburg, the then Commissioner of the US Food and Drug Administration highlighted that a strong field of regulatory science is required to develop new tools, standards and approaches that efficiently and consistently assess the safety, efficacy and performance of products, and that this field has long been underappreciated and underfunded.1 During...

Advancing Symptom Science Through Use of Common Data Elements.

BACKGROUND Use of common data elements (CDEs), conceptually defined as variables that are operationalized and measured in identical ways across studies, enables comparison of data across studies in ways that would otherwise be impossible. Although healthcare researchers are increasingly using CDEs, there has been little systematic use of CDEs for symptom science. CDEs are especially important i...

Advancing the science and practice of school-based health promotion.

Democratizing data science through data science training.

The biomedical sciences have experienced an explosion of data which promises to overwhelm many current practitioners. Without easy access to data science training resources, biomedical researchers may find themselves unable to wrangle their own datasets. In 2014, to address the challenges posed such a data onslaught, the National Institutes of Health (NIH) launched the Big Data to Knowledge (BD...