iDASH: Integrating data for analysis, anonymization, and sharing

Lucila Ohno-Machado; Vineet Bafna; Aziz A. Boxwala; Brian E. Chapman; Wendy W. Chapman; Kamalika Chaudhuri; Michele E. Day; Claudiu Farcas; Nathaniel D. Heintzman; Xiaoqian Jiang; Hyeoneui Kim; Jihoon Kim; Michael E. Matheny; Frederic S. Resnic; Staal A. Vinterbo; Winston Armstrong; Natasha Balac; Jane Burns; James Chen; Rex Chisholm; Richard Cope; Sanjoy Dasgupta; Cynthia Dwork; Robert El-Kareh; Fern Fitzhenry; Anthony Gamst; Amilcare Gentili; Peter Good; Amarnath Gupta; Mayuko Inoue; Ronald Joyce; Ingolf Krueger; Grace Kuo; Jennie Larkin; Karen Messer; Lalit Nookala; Greg Norman; Keith Norris; Kiltesh Patel; Paulina Paul; Pavel Pevzner; Kevin Patrick; Sergei Pond; Jialan Que; Susan Rathbun; Susan Robbins; Anand Sarwate; Chisato Shimizu; Heidi Sofia; Peter Tarczy-Hornoch; Dallas Thornton; Florin Vaida; Faramarz Valafar; George Varghese; Nicole Wolter; Cindy Wong; Mona Wong; Alex Zambon

doi:10.1136/amiajnl-2011-000538

iDASH: Integrating data for analysis, anonymization, and sharing

Lucila Ohno-Machado, Vineet Bafna, Aziz A. Boxwala, Brian E. Chapman, Wendy W. Chapman, Kamalika Chaudhuri, Michele E. Day, Claudiu Farcas, Nathaniel D. Heintzman, Xiaoqian Jiang, Hyeoneui Kim, Jihoon Kim, Michael E. Matheny, Frederic S. Resnic, Staal A. Vinterbo, Winston Armstrong, Natasha Balac, Jane Burns, James Chen, Rex ChisholmRichard Cope, Sanjoy Dasgupta, Cynthia Dwork, Robert El-Kareh, Fern Fitzhenry, Anthony Gamst, Amilcare Gentili, Peter Good, Amarnath Gupta, Mayuko Inoue, Ronald Joyce, Ingolf Krueger, Grace Kuo, Jennie Larkin, Karen Messer, Lalit Nookala, Greg Norman, Keith Norris, Kiltesh Patel, Paulina Paul, Pavel Pevzner, Kevin Patrick, Sergei Pond, Jialan Que, Susan Rathbun, Susan Robbins, Anand Sarwate, Chisato Shimizu, Heidi Sofia, Peter Tarczy-Hornoch, Dallas Thornton, Florin Vaida, Faramarz Valafar, George Varghese, Nicole Wolter, Cindy Wong, Mona Wong, Alex Zambon

Research output: Contribution to journal › Article › peer-review

90 Scopus citations

Abstract

iDASH (integrating data for analysis, anonymization, and sharing) is the newest National Center for Biomedical Computing funded by the NIH. It focuses on algorithms and tools for sharing data in a privacy-preserving manner. Foundational privacy technology research performed within iDASH is coupled with innovative engineering for collaborative tool development and datasharing capabilities in a private Health Insurance Portability and Accountability Act (HIPAA)-certified cloud. Driving Biological Projects, which span different biological levels (from molecules to individuals to populations) and focus on various health conditions, help guide research and development within this Center. Furthermore, training and dissemination efforts connect the Center with its stakeholders and educate data owners and data consumers on how to share and use clinical and biological data. Through these various mechanisms, iDASH implements its goal of providing biomedical and behavioral researchers with access to data, software, and a high-performance computing environment, thus enabling them to generate and test new hypotheses.

Original language	English (US)
Pages (from-to)	196-201
Number of pages	6
Journal	Journal of the American Medical Informatics Association
Volume	19
Issue number	2
DOIs	https://doi.org/10.1136/amiajnl-2011-000538
State	Published - Mar 2012
Externally published	Yes

All Science Journal Classification (ASJC) codes

Health Informatics

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10.1136/amiajnl-2011-000538

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Ohno-Machado, L., Bafna, V., Boxwala, A. A., Chapman, B. E., Chapman, W. W., Chaudhuri, K., Day, M. E., Farcas, C., Heintzman, N. D., Jiang, X., Kim, H., Kim, J., Matheny, M. E., Resnic, F. S., Vinterbo, S. A., Armstrong, W., Balac, N., Burns, J., Chen, J., ... Zambon, A. (2012). iDASH: Integrating data for analysis, anonymization, and sharing. Journal of the American Medical Informatics Association, 19(2), 196-201. https://doi.org/10.1136/amiajnl-2011-000538

@article{78675d154f8d4e118419c10ce1dd981c,

title = "iDASH: Integrating data for analysis, anonymization, and sharing",

abstract = "iDASH (integrating data for analysis, anonymization, and sharing) is the newest National Center for Biomedical Computing funded by the NIH. It focuses on algorithms and tools for sharing data in a privacy-preserving manner. Foundational privacy technology research performed within iDASH is coupled with innovative engineering for collaborative tool development and datasharing capabilities in a private Health Insurance Portability and Accountability Act (HIPAA)-certified cloud. Driving Biological Projects, which span different biological levels (from molecules to individuals to populations) and focus on various health conditions, help guide research and development within this Center. Furthermore, training and dissemination efforts connect the Center with its stakeholders and educate data owners and data consumers on how to share and use clinical and biological data. Through these various mechanisms, iDASH implements its goal of providing biomedical and behavioral researchers with access to data, software, and a high-performance computing environment, thus enabling them to generate and test new hypotheses.",

author = "Lucila Ohno-Machado and Vineet Bafna and Boxwala, {Aziz A.} and Chapman, {Brian E.} and Chapman, {Wendy W.} and Kamalika Chaudhuri and Day, {Michele E.} and Claudiu Farcas and Heintzman, {Nathaniel D.} and Xiaoqian Jiang and Hyeoneui Kim and Jihoon Kim and Matheny, {Michael E.} and Resnic, {Frederic S.} and Vinterbo, {Staal A.} and Winston Armstrong and Natasha Balac and Jane Burns and James Chen and Rex Chisholm and Richard Cope and Sanjoy Dasgupta and Cynthia Dwork and Robert El-Kareh and Fern Fitzhenry and Anthony Gamst and Amilcare Gentili and Peter Good and Amarnath Gupta and Mayuko Inoue and Ronald Joyce and Ingolf Krueger and Grace Kuo and Jennie Larkin and Karen Messer and Lalit Nookala and Greg Norman and Keith Norris and Kiltesh Patel and Paulina Paul and Pavel Pevzner and Kevin Patrick and Sergei Pond and Jialan Que and Susan Rathbun and Susan Robbins and Anand Sarwate and Chisato Shimizu and Heidi Sofia and Peter Tarczy-Hornoch and Dallas Thornton and Florin Vaida and Faramarz Valafar and George Varghese and Nicole Wolter and Cindy Wong and Mona Wong and Alex Zambon",

year = "2012",

month = mar,

doi = "10.1136/amiajnl-2011-000538",

language = "English (US)",

volume = "19",

pages = "196--201",

journal = "Journal of the American Medical Informatics Association",

issn = "1067-5027",

publisher = "Oxford University Press",

number = "2",

}

Ohno-Machado, L, Bafna, V, Boxwala, AA, Chapman, BE, Chapman, WW, Chaudhuri, K, Day, ME, Farcas, C, Heintzman, ND, Jiang, X, Kim, H, Kim, J, Matheny, ME, Resnic, FS, Vinterbo, SA, Armstrong, W, Balac, N, Burns, J, Chen, J, Chisholm, R, Cope, R, Dasgupta, S, Dwork, C, El-Kareh, R, Fitzhenry, F, Gamst, A, Gentili, A, Good, P, Gupta, A, Inoue, M, Joyce, R, Krueger, I, Kuo, G, Larkin, J, Messer, K, Nookala, L, Norman, G, Norris, K, Patel, K, Paul, P, Pevzner, P, Patrick, K, Pond, S, Que, J, Rathbun, S, Robbins, S, Sarwate, A, Shimizu, C, Sofia, H, Tarczy-Hornoch, P, Thornton, D, Vaida, F, Valafar, F, Varghese, G, Wolter, N, Wong, C, Wong, M & Zambon, A 2012, 'iDASH: Integrating data for analysis, anonymization, and sharing', Journal of the American Medical Informatics Association, vol. 19, no. 2, pp. 196-201. https://doi.org/10.1136/amiajnl-2011-000538

TY - JOUR

T1 - iDASH

T2 - Integrating data for analysis, anonymization, and sharing

AU - Ohno-Machado, Lucila

AU - Bafna, Vineet

AU - Boxwala, Aziz A.

AU - Chapman, Brian E.

AU - Chapman, Wendy W.

AU - Chaudhuri, Kamalika

AU - Day, Michele E.

AU - Farcas, Claudiu

AU - Heintzman, Nathaniel D.

AU - Jiang, Xiaoqian

AU - Kim, Hyeoneui

AU - Kim, Jihoon

AU - Matheny, Michael E.

AU - Resnic, Frederic S.

AU - Vinterbo, Staal A.

AU - Armstrong, Winston

AU - Balac, Natasha

AU - Burns, Jane

AU - Chen, James

AU - Chisholm, Rex

AU - Cope, Richard

AU - Dasgupta, Sanjoy

AU - Dwork, Cynthia

AU - El-Kareh, Robert

AU - Fitzhenry, Fern

AU - Gamst, Anthony

AU - Gentili, Amilcare

AU - Good, Peter

AU - Gupta, Amarnath

AU - Inoue, Mayuko

AU - Joyce, Ronald

AU - Krueger, Ingolf

AU - Kuo, Grace

AU - Larkin, Jennie

AU - Messer, Karen

AU - Nookala, Lalit

AU - Norman, Greg

AU - Norris, Keith

AU - Patel, Kiltesh

AU - Paul, Paulina

AU - Pevzner, Pavel

AU - Patrick, Kevin

AU - Pond, Sergei

AU - Que, Jialan

AU - Rathbun, Susan

AU - Robbins, Susan

AU - Sarwate, Anand

AU - Shimizu, Chisato

AU - Sofia, Heidi

AU - Tarczy-Hornoch, Peter

AU - Thornton, Dallas

AU - Vaida, Florin

AU - Valafar, Faramarz

AU - Varghese, George

AU - Wolter, Nicole

AU - Wong, Cindy

AU - Wong, Mona

AU - Zambon, Alex

PY - 2012/3

Y1 - 2012/3

N2 - iDASH (integrating data for analysis, anonymization, and sharing) is the newest National Center for Biomedical Computing funded by the NIH. It focuses on algorithms and tools for sharing data in a privacy-preserving manner. Foundational privacy technology research performed within iDASH is coupled with innovative engineering for collaborative tool development and datasharing capabilities in a private Health Insurance Portability and Accountability Act (HIPAA)-certified cloud. Driving Biological Projects, which span different biological levels (from molecules to individuals to populations) and focus on various health conditions, help guide research and development within this Center. Furthermore, training and dissemination efforts connect the Center with its stakeholders and educate data owners and data consumers on how to share and use clinical and biological data. Through these various mechanisms, iDASH implements its goal of providing biomedical and behavioral researchers with access to data, software, and a high-performance computing environment, thus enabling them to generate and test new hypotheses.

AB - iDASH (integrating data for analysis, anonymization, and sharing) is the newest National Center for Biomedical Computing funded by the NIH. It focuses on algorithms and tools for sharing data in a privacy-preserving manner. Foundational privacy technology research performed within iDASH is coupled with innovative engineering for collaborative tool development and datasharing capabilities in a private Health Insurance Portability and Accountability Act (HIPAA)-certified cloud. Driving Biological Projects, which span different biological levels (from molecules to individuals to populations) and focus on various health conditions, help guide research and development within this Center. Furthermore, training and dissemination efforts connect the Center with its stakeholders and educate data owners and data consumers on how to share and use clinical and biological data. Through these various mechanisms, iDASH implements its goal of providing biomedical and behavioral researchers with access to data, software, and a high-performance computing environment, thus enabling them to generate and test new hypotheses.

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U2 - 10.1136/amiajnl-2011-000538

DO - 10.1136/amiajnl-2011-000538

M3 - Article

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SN - 1067-5027

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JO - Journal of the American Medical Informatics Association

JF - Journal of the American Medical Informatics Association

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ER -

iDASH: Integrating data for analysis, anonymization, and sharing

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