[BDMA Membership Roster] [BDMA Meeting Rosters]

The Biodata Management and Analysis (BDMA) study section reviews grant applications concerned with developing technologies for the management and analysis of biological data. This includes the review of bioinformatics and computational biology applications addressing large-scale data collection and integration efforts. Research grant applications driven by bioengineering principle, design, or validation, but not necessarily driven by hypothesis, are expected. Specific areas covered by BDMA are:

• Computer systems for data management including hardware and software.
• Database technologies and methods for data management, data representation, data capture, data integrity and validation, data standards and ontology development,
• Methods for data analysis including: Numerical, statistical, mathematical and theoretical approaches to design and interpretation of large-scale studies such as methods for pattern discovery, data mining, sequence prediction, biomarker identification, therapeutic drug design and high throughput analyses; computational methods for organizing, maintaining, and integrating biological datasets and for large scale data modeling and simulations.
• Visualization techniques including: Summary, integration, and representation of data in meaningful ways with, for example, graphical, auditory, tactile, and visual methods.

Study Sections with the most closely related areas of similar science listed in rank order are:

Biomedical Computing and Health Informatics (BCHI)
Genomics, Computational Biology and Technology (GCAT)
Biostatistical Methods and Research Design (BMRD)
Modeling and Analysis of Biological Systems (MABS)
Macromolecular Structure and Function D (MSFD)