NIH-CSR <script type="text/javascript"> var wmNotice = "UNT Web Archive - External links, forms, and search boxes may not function within this collection. Url: http://cms.csr.nih.gov/PeerReviewMeetings/CSRIRGDescription/BSTIRG/BDMA.htm time: 13:44:09 Sep 20, 2008"; var wmHideNotice = "hide"; var contextRoot = "https://webarchive.library.unt.edu/eot2008/"; </script> <script type="text/javascript" src="https://webarchive.library.unt.edu/eot2008/js/disclaim.js"></script> <span id="Postingname3_PostingDisplayName">Biodata Management and Analysis Study Section [BDMA]</span> (BSTIRG)

[BDMA Roster]

The Biodata Management and Analysis [BDMA] study section will review grant applications (R01, R21, SBIR/STTR, etc.) that aim to develop technologies for the management and analysis of basic biological data, i.e., bioinformatics, computational biology, and computer science. This includes the review of data management technology in support of 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:

Methods for data management including: Data representation, standards and ontology development, data capture, data integrity and validation, data archiving, data distribution, data query, hardware and software for computer systems, database robotics, and interoperation and federation of databases.
Methods for data analysis including: Numerical, statistical and mathematical methods; theoretical approaches to design and interpretation of large-scale studies, such as high throughput analyses; computational methods for organizing, maintaining, and integrating datasets, such as in proteomics and genomics.
Visualization techniques: Summary, integration, and representation of data in meaningful ways, for example, graphical, auditory, tactile, and visual; methods for data mining, World Wide Web and other server representations and computer representations and simulations.

BDMA has the following shared interests within the BST IRG:

Most of the study sections in this IRG will involve some level of the management of data generated by their projects. The BDMA study section would be the appropriate home when basic methodology for data management is the central scientific or technical question. The following shared interests merit highlighting:

With Microscopic Imaging [MI]: If the focus is on generation of images, then MI would be the appropriate home for review; however, if the focus is on image archiving, then BDMA would be the appropriate home.
With Modeling and Analysis of Biological Systems [MABS]: BDMA shares interests with the MABS study section in the areas of bioinformatics and large scale data collection efforts or “–omics” applications (genomics, proteomics, metabolomics, etc.). If the focus is on large-scale data analysis, then BDMA would be appropriate. If the focus is on modeling, review by MABS would be appropriate.
With Instrumentation and Systems Development [ISD]: BDMA has shared interests with the ISD study section in areas of data acquisition, analysis software, and hardware. If the focus is on data storage and manipulation, then BDMA would be appropriate. If the focus is on hardware or instrument development for data collection, then ISD would be appropriate.

BDMA has the following shared interests outside the BST IRG:

With the Biological Chemistry and Macromolecular Biophysics (BCMB); Cell Biology (CB); Biology of Development and Aging (BDA) IRGs: If the focus is on the use of computational or database tools for analysis of chemical or biophysical interactions among molecules, cell physiological processes, development, differentiation, or signal transduction, then review by one of the IRGs identified above could be appropriate. If the primary focus is on development of computational or database tools, review by BDMA could be appropriate.
With the Genes, Genomes, and Genetics [GGG] IRG: If the focus is on experimental or computational investigation of questions related to genetics, regulation of gene expression, or genomics, review by GGG could be appropriate. If the primary focus is on developing database technology, related computational analyses, or statistical methods for analyzing data, including genetic/genomic data, review by BDMA could be appropriate.
With the Health of the Population [HOP] IRG: HOP reviews applications related to population processes, composition and distribution, and the development and validation of methodologies for population research, including measurement, design, and statistical analysis. Other statistical methodology applications could be reviewed by BDMA.
With the Infectious Diseases & Microbiology [IDM] and AIDS & Related Research [AARR] IRGs: If the focus is on experimental or computational investigation of questions related to microbes, assignment to IDM or AARR could be appropriate; if the focus is on developing database technology, related computational analyses, or statistical methods for analyzing data, including infectious disease and virology data, assignment to BDMA could be appropriate.
With the Surgical Sciences, Biomedical Imaging and Bioengineering [SBIB] IRG: BDMA shares interests with SBIB in the area of management of biological and medical data. If the objective of the study is to address questions of diagnosis, pathology, treatment, or medical data management, assignment could be to SBIB. If the objective of the study is to address questions of basic data management or biology, assignment could be to BDMA.