SchizConnect: Virtual Data integration in neuroimaging

Jose Luis Ambite; Marcelo Tallis; Kathryn Alpert; David B. Keator; Margaret King; Drew Landis; George Konstantinidis; Vince D. Calhoun; Steven G. Potkin; Jessica A. Turner; Lei Wang

doi:10.1007/978-3-319-21843-4_4

SchizConnect: Virtual Data integration in neuroimaging

Jose Luis Ambite^*, Marcelo Tallis, Kathryn Alpert, David B. Keator, Margaret King, Drew Landis, George Konstantinidis, Vince D. Calhoun, Steven G. Potkin, Jessica A. Turner, Lei Wang

^*Corresponding author for this work

Psychiatry and Behavioral Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

23 Scopus citations

Abstract

In many scientific domains, including neuroimaging studies, there is a need to obtain increasingly larger cohorts to achieve the desired statistical power for discovery. However, the economics of imaging studies make it unlikely that any single study or consortia can achieve the desired sample sizes. What is needed is an architecture that can easily incorporate additional studies as they become available. We present such architecture based on a virtual data integration approach, where data remains at the original sources, and is retrieved and harmonized in response to user queries. This is in contrast to approaches that move the data to a central warehouse. We implemented our approach in the SchizConnect system that integrates data from three neuroimaging consortia on Schizophrenia: FBIRN’s Human Imaging Database (HID), MRN’s Collaborative Imaging and Neuroinformatics System (COINS), and the NUSDAST project at XNAT Central. A portal providing harmonized access to these sources is publicly deployed at schizconnect.org.

Original language	English (US)
Title of host publication	Data Integration in the Life Sciences - 11th International Conference, DILS 2015, Proceedings
Editors	Jose-Luis Ambite, Ashish N. Naveen
Publisher	Springer Verlag
Pages	37-51
Number of pages	15
ISBN (Print)	9783319218427
DOIs	https://doi.org/10.1007/978-3-319-21843-4_4
State	Published - 2015
Event	11th International Conference on Data Integration in the Life Sciences, DILS 2015 - Los Angeles, United States Duration: Jul 9 2015 → Jul 10 2015

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9162
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	11th International Conference on Data Integration in the Life Sciences, DILS 2015
Country/Territory	United States
City	Los Angeles
Period	7/9/15 → 7/10/15

Keywords

Data integration
Mediation
Neuroimaging
Schema mappings

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-319-21843-4_4

Cite this

Ambite, J. L., Tallis, M., Alpert, K., Keator, D. B., King, M., Landis, D., Konstantinidis, G., Calhoun, V. D., Potkin, S. G., Turner, J. A., & Wang, L. (2015). SchizConnect: Virtual Data integration in neuroimaging. In J.-L. Ambite, & A. N. Naveen (Eds.), Data Integration in the Life Sciences - 11th International Conference, DILS 2015, Proceedings (pp. 37-51). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9162). Springer Verlag. https://doi.org/10.1007/978-3-319-21843-4_4

Ambite, Jose Luis ; Tallis, Marcelo ; Alpert, Kathryn et al. / SchizConnect : Virtual Data integration in neuroimaging. Data Integration in the Life Sciences - 11th International Conference, DILS 2015, Proceedings. editor / Jose-Luis Ambite ; Ashish N. Naveen. Springer Verlag, 2015. pp. 37-51 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "In many scientific domains, including neuroimaging studies, there is a need to obtain increasingly larger cohorts to achieve the desired statistical power for discovery. However, the economics of imaging studies make it unlikely that any single study or consortia can achieve the desired sample sizes. What is needed is an architecture that can easily incorporate additional studies as they become available. We present such architecture based on a virtual data integration approach, where data remains at the original sources, and is retrieved and harmonized in response to user queries. This is in contrast to approaches that move the data to a central warehouse. We implemented our approach in the SchizConnect system that integrates data from three neuroimaging consortia on Schizophrenia: FBIRN{\textquoteright}s Human Imaging Database (HID), MRN{\textquoteright}s Collaborative Imaging and Neuroinformatics System (COINS), and the NUSDAST project at XNAT Central. A portal providing harmonized access to these sources is publicly deployed at schizconnect.org.",

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author = "Ambite, {Jose Luis} and Marcelo Tallis and Kathryn Alpert and Keator, {David B.} and Margaret King and Drew Landis and George Konstantinidis and Calhoun, {Vince D.} and Potkin, {Steven G.} and Turner, {Jessica A.} and Lei Wang",

note = "Funding Information: SchizConnect is supported by a grant from the National Institutes of Health (NIH/NIMH), 5U01MH097435 to L. Wang, JL. Ambite, S.G. Potkin and J.A.Turner. The work on COINS is also supported by 5P20GM103472 (NIGMS) to V.D. Calhoun. Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 11th International Conference on Data Integration in the Life Sciences, DILS 2015 ; Conference date: 09-07-2015 Through 10-07-2015",

year = "2015",

doi = "10.1007/978-3-319-21843-4_4",

language = "English (US)",

isbn = "9783319218427",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Ambite, JL, Tallis, M, Alpert, K, Keator, DB, King, M, Landis, D, Konstantinidis, G, Calhoun, VD, Potkin, SG, Turner, JA & Wang, L 2015, SchizConnect: Virtual Data integration in neuroimaging. in J-L Ambite & AN Naveen (eds), Data Integration in the Life Sciences - 11th International Conference, DILS 2015, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9162, Springer Verlag, pp. 37-51, 11th International Conference on Data Integration in the Life Sciences, DILS 2015, Los Angeles, United States, 7/9/15. https://doi.org/10.1007/978-3-319-21843-4_4

SchizConnect: Virtual Data integration in neuroimaging. / Ambite, Jose Luis; Tallis, Marcelo; Alpert, Kathryn et al.
Data Integration in the Life Sciences - 11th International Conference, DILS 2015, Proceedings. ed. / Jose-Luis Ambite; Ashish N. Naveen. Springer Verlag, 2015. p. 37-51 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9162).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - SchizConnect

T2 - 11th International Conference on Data Integration in the Life Sciences, DILS 2015

AU - Ambite, Jose Luis

AU - Tallis, Marcelo

AU - Alpert, Kathryn

AU - Keator, David B.

AU - King, Margaret

AU - Landis, Drew

AU - Konstantinidis, George

AU - Calhoun, Vince D.

AU - Potkin, Steven G.

AU - Turner, Jessica A.

AU - Wang, Lei

N1 - Funding Information: SchizConnect is supported by a grant from the National Institutes of Health (NIH/NIMH), 5U01MH097435 to L. Wang, JL. Ambite, S.G. Potkin and J.A.Turner. The work on COINS is also supported by 5P20GM103472 (NIGMS) to V.D. Calhoun. Publisher Copyright: © Springer International Publishing Switzerland 2015.

PY - 2015

Y1 - 2015

N2 - In many scientific domains, including neuroimaging studies, there is a need to obtain increasingly larger cohorts to achieve the desired statistical power for discovery. However, the economics of imaging studies make it unlikely that any single study or consortia can achieve the desired sample sizes. What is needed is an architecture that can easily incorporate additional studies as they become available. We present such architecture based on a virtual data integration approach, where data remains at the original sources, and is retrieved and harmonized in response to user queries. This is in contrast to approaches that move the data to a central warehouse. We implemented our approach in the SchizConnect system that integrates data from three neuroimaging consortia on Schizophrenia: FBIRN’s Human Imaging Database (HID), MRN’s Collaborative Imaging and Neuroinformatics System (COINS), and the NUSDAST project at XNAT Central. A portal providing harmonized access to these sources is publicly deployed at schizconnect.org.

AB - In many scientific domains, including neuroimaging studies, there is a need to obtain increasingly larger cohorts to achieve the desired statistical power for discovery. However, the economics of imaging studies make it unlikely that any single study or consortia can achieve the desired sample sizes. What is needed is an architecture that can easily incorporate additional studies as they become available. We present such architecture based on a virtual data integration approach, where data remains at the original sources, and is retrieved and harmonized in response to user queries. This is in contrast to approaches that move the data to a central warehouse. We implemented our approach in the SchizConnect system that integrates data from three neuroimaging consortia on Schizophrenia: FBIRN’s Human Imaging Database (HID), MRN’s Collaborative Imaging and Neuroinformatics System (COINS), and the NUSDAST project at XNAT Central. A portal providing harmonized access to these sources is publicly deployed at schizconnect.org.

KW - Data integration

KW - Mediation

KW - Neuroimaging

KW - Schema mappings

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U2 - 10.1007/978-3-319-21843-4_4

DO - 10.1007/978-3-319-21843-4_4

M3 - Conference contribution

C2 - 26688837

AN - SCOPUS:84947347033

SN - 9783319218427

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 37

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BT - Data Integration in the Life Sciences - 11th International Conference, DILS 2015, Proceedings

A2 - Ambite, Jose-Luis

A2 - Naveen, Ashish N.

PB - Springer Verlag

Y2 - 9 July 2015 through 10 July 2015

ER -

Ambite JL, Tallis M, Alpert K, Keator DB, King M, Landis D et al. SchizConnect: Virtual Data integration in neuroimaging. In Ambite JL, Naveen AN, editors, Data Integration in the Life Sciences - 11th International Conference, DILS 2015, Proceedings. Springer Verlag. 2015. p. 37-51. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-21843-4_4

SchizConnect: Virtual Data integration in neuroimaging

Abstract

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Keywords

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