Stop asking about Big Data. Start asking the right QUESTIONS.
Computational biologist Dr. Michael Liebman explains Why Medical Research Does Big Data Wrong.
- Medical researchers typically do not work directly with clinicians. As a result, research questions often fail to address matters of clinical importance.
- Technology supports data generation, not knowledge generation. Identifying the right research/clinical question must precede the collection of data. Identifying the right data sources upfront outweighs amassing more data.
- Genomics data sheds light on the architectural plan of an individual person, but does not provide inherent explanatory value for disease pathology.