Transcript Scott Novogoratz, College of Veterinary Medicine

BIG DATA
A Life Sciences Perspective
Scott Novogoratz, CIO
College of Veterinary Medicine &
Biomedical Sciences
Infectious Disease Research Center
Among the world's leaders in researching West Nile Virus, drug-resistant
Tuberculosis, Yellow Fever, Dengue, Hantavirus, Plague, Tularemia and other
zoonotic and human diseases
Radiological Cancer Treatment
Ed Dumbill, Big Data, Editor in Chief
Omics & Ologies -Life Sciences BIG DATA
Omics
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Genomics,
Transcriptomics,
Proteomics,
Metabolomics,
Metagenomics
Ology(ies)
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Radiology
Gastroenterology,
Cardiology,
Pathology
BIG DATA Devices
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Gene sequencing
Mass spectrometry
Imaging
Microarrays
Liquid chromatography
Medical Imaging BIG DATA Demands
Radiographs
Endoscopy
Pathology
How Big is a Genome?
e.Coli
From the Big Data article Unraveling the Complexities, Higdon et al
Velocity –Genome Studies Will Increase
What Do Life Science Researchers Want?
From U of Washington study to assess data & analysis needs for Life Scientists
Relative Importance for the Life Sciences
Conclusions
• Recognize that BIG DATA storage issues differ
based on the purpose and use of data
• Maximize the value of biological research, by
improving the capability to store, catalog,
share and compare research through:
– Low cost and shared storage mechanisms
– Universal and easy-to-use tools that provide
researchers with the capability to compare their
findings with libraries of information