Implementation of a distributed architecture for managing collection and dissemination of data for fetal alcohol spectrum disorders research

Andrew Arenson, Ludmila Bakhireva, Tina Chambers, Christina Deximo, Tatiana Foroud, Joseph Jacobson, Sandra Jacobson, Kenneth Lyons Jones, Sarah Mattson, Philip May, Elizabeth Moore, Kimberly Ogle, Edward Riley, Luther Robinson, Jeffrey Rogers, Ann Streissguth, Michel Tavares, Joseph Urbanski, Helen Yezerets, Craig A. Stewart

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages33-44
Number of pages12
Volume4360 LNBI
StatePublished - 2007
EventDistributed, High-Performance and Grid Computing in Computational Biology International Workshop, GCCB 2006 - Eilat, Israel
Duration: Jan 21 2007Jan 21 2007

Other

OtherDistributed, High-Performance and Grid Computing in Computational Biology International Workshop, GCCB 2006
CountryIsrael
CityEilat
Period1/21/071/21/07

Fingerprint

Fetal Alcohol Spectrum Disorders
Distributed Architecture
Alcohol
Disorder
Alcohols
Research Personnel
Research
Computer Communication Networks
Privacy
Internet
Compliance
Recovery
Databases
Technology
Repository
Distributed Systems
Grid

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

Arenson, A., Bakhireva, L., Chambers, T., Deximo, C., Foroud, T., Jacobson, J., ... Stewart, C. A. (2007). Implementation of a distributed architecture for managing collection and dissemination of data for fetal alcohol spectrum disorders research. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4360 LNBI, pp. 33-44)

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 proceedingConference contribution

Arenson, A, Bakhireva, L, Chambers, T, Deximo, C, Foroud, T, Jacobson, J, Jacobson, S, Jones, KL, Mattson, S, May, P, Moore, E, Ogle, K, Riley, E, Robinson, L, Rogers, J, Streissguth, A, Tavares, M, Urbanski, J, Yezerets, H & Stewart, CA 2007, Implementation of a distributed architecture for managing collection and dissemination of data for fetal alcohol spectrum disorders research. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 4360 LNBI, pp. 33-44, Distributed, High-Performance and Grid Computing in Computational Biology International Workshop, GCCB 2006, Eilat, Israel, 1/21/07.
Arenson A, Bakhireva L, Chambers T, Deximo C, Foroud T, Jacobson J et al. Implementation of a distributed architecture for managing collection and dissemination of data for fetal alcohol spectrum disorders research. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4360 LNBI. 2007. p. 33-44
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. / Implementation of a distributed architecture for managing collection and dissemination of data for fetal alcohol spectrum disorders research. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4360 LNBI 2007. pp. 33-44
@inproceedings{9123b5037f3f4b36ad1fbf8e76b3ecae,
title = "Implementation of a distributed architecture for managing collection and dissemination of data for fetal alcohol spectrum disorders research",
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.",
keywords = "Data dictionary, Distributed computing, Fetal alcohol spectrum disorders, Repository",
author = "Andrew Arenson and Ludmila Bakhireva and Tina Chambers and Christina Deximo and Tatiana Foroud and Joseph Jacobson and Sandra Jacobson and Jones, {Kenneth Lyons} and Sarah Mattson and Philip May and Elizabeth Moore and Kimberly Ogle and Edward Riley and Luther Robinson and Jeffrey Rogers and Ann Streissguth and Michel Tavares and Joseph Urbanski and Helen Yezerets and Stewart, {Craig A.}",
year = "2007",
language = "English",
isbn = "3540698418",
volume = "4360 LNBI",
pages = "33--44",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

}

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

UR - http://www.scopus.com/inward/record.url?scp=34547443536&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34547443536&partnerID=8YFLogxK

M3 - Conference contribution

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 -