Abstract
We implemented a distributed system for management of data for an international collaboration studying Fetal Alcohol Spectrum Disorders (FASD). Subject privacy was protected, researchers without dependable Internet access were accommodated, and researchers' data were shared globally. Data dictionaries codified the nature of the data being integrated, data compliance was assured through multiple consistency checks, and recovery systems provided a secure, robust, persistent repository. The system enabled new types of science to be done, using distributed technologies that are expedient for current needs while taking useful steps towards integrating the system in a future grid-based cyberinfrastructure. The distributed architecture, verification steps, and data dictionaries suggest general strategies for researchers involved in collaborative studies, particularly where data must be de-identified before being shared. The system met both the collaboration's needs and the NIH Roadmap's goal of wide access to databases that are robust and adaptable to researchers' needs.
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Pages | 33-44 |
| Number of pages | 12 |
| Volume | 4360 LNBI |
| State | Published - 2007 |
| Event | Distributed, High-Performance and Grid Computing in Computational Biology International Workshop, GCCB 2006 - Eilat, Israel Duration: Jan 21 2007 → Jan 21 2007 |
Other
| Other | Distributed, High-Performance and Grid Computing in Computational Biology International Workshop, GCCB 2006 |
|---|---|
| Country | Israel |
| City | Eilat |
| Period | 1/21/07 → 1/21/07 |
Fingerprint
Keywords
- Data dictionary
- Distributed computing
- Fetal alcohol spectrum disorders
- Repository
ASJC Scopus subject areas
- Computer Science(all)
- Biochemistry, Genetics and Molecular Biology(all)
- Theoretical Computer Science
Cite this
Implementation of a distributed architecture for managing collection and dissemination of data for fetal alcohol spectrum disorders research. / Arenson, Andrew; Bakhireva, Ludmila; Chambers, Tina; Deximo, Christina; Foroud, Tatiana; Jacobson, Joseph; Jacobson, Sandra; Jones, Kenneth Lyons; Mattson, Sarah; May, Philip; Moore, Elizabeth; Ogle, Kimberly; Riley, Edward; Robinson, Luther; Rogers, Jeffrey; Streissguth, Ann; Tavares, Michel; Urbanski, Joseph; Yezerets, Helen; Stewart, Craig A.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4360 LNBI 2007. p. 33-44.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Implementation of a distributed architecture for managing collection and dissemination of data for fetal alcohol spectrum disorders research
AU - Arenson, Andrew
AU - Bakhireva, Ludmila
AU - Chambers, Tina
AU - Deximo, Christina
AU - Foroud, Tatiana
AU - Jacobson, Joseph
AU - Jacobson, Sandra
AU - Jones, Kenneth Lyons
AU - Mattson, Sarah
AU - May, Philip
AU - Moore, Elizabeth
AU - Ogle, Kimberly
AU - Riley, Edward
AU - Robinson, Luther
AU - Rogers, Jeffrey
AU - Streissguth, Ann
AU - Tavares, Michel
AU - Urbanski, Joseph
AU - Yezerets, Helen
AU - Stewart, Craig A.
PY - 2007
Y1 - 2007
N2 - We implemented a distributed system for management of data for an international collaboration studying Fetal Alcohol Spectrum Disorders (FASD). Subject privacy was protected, researchers without dependable Internet access were accommodated, and researchers' data were shared globally. Data dictionaries codified the nature of the data being integrated, data compliance was assured through multiple consistency checks, and recovery systems provided a secure, robust, persistent repository. The system enabled new types of science to be done, using distributed technologies that are expedient for current needs while taking useful steps towards integrating the system in a future grid-based cyberinfrastructure. The distributed architecture, verification steps, and data dictionaries suggest general strategies for researchers involved in collaborative studies, particularly where data must be de-identified before being shared. The system met both the collaboration's needs and the NIH Roadmap's goal of wide access to databases that are robust and adaptable to researchers' needs.
AB - We implemented a distributed system for management of data for an international collaboration studying Fetal Alcohol Spectrum Disorders (FASD). Subject privacy was protected, researchers without dependable Internet access were accommodated, and researchers' data were shared globally. Data dictionaries codified the nature of the data being integrated, data compliance was assured through multiple consistency checks, and recovery systems provided a secure, robust, persistent repository. The system enabled new types of science to be done, using distributed technologies that are expedient for current needs while taking useful steps towards integrating the system in a future grid-based cyberinfrastructure. The distributed architecture, verification steps, and data dictionaries suggest general strategies for researchers involved in collaborative studies, particularly where data must be de-identified before being shared. The system met both the collaboration's needs and the NIH Roadmap's goal of wide access to databases that are robust and adaptable to researchers' needs.
KW - Data dictionary
KW - Distributed computing
KW - Fetal alcohol spectrum disorders
KW - Repository
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UR - http://www.scopus.com/inward/citedby.url?scp=34547443536&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:34547443536
SN - 3540698418
SN - 9783540698418
VL - 4360 LNBI
SP - 33
EP - 44
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -