Terminology development towards harmonizing multiple clinical neuroimaging research repositories

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

doi:10.1007/978-3-319-21843-4_8

Terminology development towards harmonizing multiple clinical neuroimaging research repositories

Jessica A. Turner, Danielle Pasquerello, Matthew D. Turner, David B. Keator, Kathryn Alpert, Margaret King, Drew Landis, Vince D. Calhoun, Steven G. Potkin, Marcelo Tallis, Jose Luis Ambite, Lei Wang

School of Medicine

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

2 Scopus citations

Abstract

Data sharing and mediation across disparate neuroimaging repositories requires extensive effort to ensure that the different domains of data types are referred to by commonly agreed upon terms. Within the SchizConnect project, which enables querying across decentralized databases of neuroimaging, clinical, and cognitive data from various studies of schizophrenia, we developed a model for each data domain, identified common usable terms that could be agreed upon across the repositories, and linked them to standard ontological terms where possible. We had the goal of facilitating both the current user experience in querying and future automated computations and reasoning regarding the data. We found that existing terminologies are incomplete for these purposes, even with the history of neuroimaging data sharing in the field; and we provide a model for efforts focused on querying multiple clinical neuroimaging repositories.

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	104-117
Number of pages	14
ISBN (Print)	9783319218427
DOIs	https://doi.org/10.1007/978-3-319-21843-4_8
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

Assessments
Clinical scales
Data sharing
Mediation
Neuroimaging

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-319-21843-4_8

Cite this

Turner, J. A., Pasquerello, D., Turner, M. D., Keator, D. B., Alpert, K., King, M., Landis, D., Calhoun, V. D., Potkin, S. G., Tallis, M., Ambite, J. L., & Wang, L. (2015). Terminology development towards harmonizing multiple clinical neuroimaging research repositories. In J.-L. Ambite, & A. N. Naveen (Eds.), Data Integration in the Life Sciences - 11th International Conference, DILS 2015, Proceedings (pp. 104-117). (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_8

Terminology development towards harmonizing multiple clinical neuroimaging research repositories. / Turner, Jessica A.; Pasquerello, Danielle; Turner, Matthew D. 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. 104-117 (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

Turner, JA, Pasquerello, D, Turner, MD, Keator, DB, Alpert, K, King, M, Landis, D, Calhoun, VD, Potkin, SG, Tallis, M, Ambite, JL & Wang, L 2015, Terminology development towards harmonizing multiple clinical neuroimaging research repositories. 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. 104-117, 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_8

Turner JA, Pasquerello D, Turner MD, Keator DB, Alpert K, King M et al. Terminology development towards harmonizing multiple clinical neuroimaging research repositories. In Ambite JL, Naveen AN, editors, Data Integration in the Life Sciences - 11th International Conference, DILS 2015, Proceedings. Springer Verlag. 2015. p. 104-117. (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_8

Turner, Jessica A. ; Pasquerello, Danielle ; Turner, Matthew D. et al. / Terminology development towards harmonizing multiple clinical neuroimaging research repositories. Data Integration in the Life Sciences - 11th International Conference, DILS 2015, Proceedings. editor / Jose-Luis Ambite ; Ashish N. Naveen. Springer Verlag, 2015. pp. 104-117 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{b08a25dfc2d742e98b6ac34a9b42962d,

title = "Terminology development towards harmonizing multiple clinical neuroimaging research repositories",

abstract = "Data sharing and mediation across disparate neuroimaging repositories requires extensive effort to ensure that the different domains of data types are referred to by commonly agreed upon terms. Within the SchizConnect project, which enables querying across decentralized databases of neuroimaging, clinical, and cognitive data from various studies of schizophrenia, we developed a model for each data domain, identified common usable terms that could be agreed upon across the repositories, and linked them to standard ontological terms where possible. We had the goal of facilitating both the current user experience in querying and future automated computations and reasoning regarding the data. We found that existing terminologies are incomplete for these purposes, even with the history of neuroimaging data sharing in the field; and we provide a model for efforts focused on querying multiple clinical neuroimaging repositories.",

keywords = "Assessments, Clinical scales, Data sharing, Mediation, Neuroimaging",

author = "Turner, {Jessica A.} and Danielle Pasquerello and Turner, {Matthew D.} and Keator, {David B.} and Kathryn Alpert and Margaret King and Drew Landis and Calhoun, {Vince D.} and Potkin, {Steven G.} and Marcelo Tallis and Ambite, {Jose Luis} 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. The authors would like to thank Derin Cobia, PhD, for help on constructing the SchizConnect neuropsychological assessment hierarchy. 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_8",

language = "English (US)",

isbn = "9783319218427",

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

publisher = "Springer Verlag",

pages = "104--117",

editor = "Jose-Luis Ambite and Naveen, {Ashish N.}",

booktitle = "Data Integration in the Life Sciences - 11th International Conference, DILS 2015, Proceedings",

}

TY - GEN

T1 - Terminology development towards harmonizing multiple clinical neuroimaging research repositories

AU - Turner, Jessica A.

AU - Pasquerello, Danielle

AU - Turner, Matthew D.

AU - Keator, David B.

AU - Alpert, Kathryn

AU - King, Margaret

AU - Landis, Drew

AU - Calhoun, Vince D.

AU - Potkin, Steven G.

AU - Tallis, Marcelo

AU - Ambite, Jose Luis

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. The authors would like to thank Derin Cobia, PhD, for help on constructing the SchizConnect neuropsychological assessment hierarchy. Publisher Copyright: © Springer International Publishing Switzerland 2015.

PY - 2015

Y1 - 2015

N2 - Data sharing and mediation across disparate neuroimaging repositories requires extensive effort to ensure that the different domains of data types are referred to by commonly agreed upon terms. Within the SchizConnect project, which enables querying across decentralized databases of neuroimaging, clinical, and cognitive data from various studies of schizophrenia, we developed a model for each data domain, identified common usable terms that could be agreed upon across the repositories, and linked them to standard ontological terms where possible. We had the goal of facilitating both the current user experience in querying and future automated computations and reasoning regarding the data. We found that existing terminologies are incomplete for these purposes, even with the history of neuroimaging data sharing in the field; and we provide a model for efforts focused on querying multiple clinical neuroimaging repositories.

AB - Data sharing and mediation across disparate neuroimaging repositories requires extensive effort to ensure that the different domains of data types are referred to by commonly agreed upon terms. Within the SchizConnect project, which enables querying across decentralized databases of neuroimaging, clinical, and cognitive data from various studies of schizophrenia, we developed a model for each data domain, identified common usable terms that could be agreed upon across the repositories, and linked them to standard ontological terms where possible. We had the goal of facilitating both the current user experience in querying and future automated computations and reasoning regarding the data. We found that existing terminologies are incomplete for these purposes, even with the history of neuroimaging data sharing in the field; and we provide a model for efforts focused on querying multiple clinical neuroimaging repositories.

KW - Assessments

KW - Clinical scales

KW - Data sharing

KW - Mediation

KW - Neuroimaging

UR - http://www.scopus.com/inward/record.url?scp=84947308476&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84947308476&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-21843-4_8

DO - 10.1007/978-3-319-21843-4_8

M3 - Conference contribution

AN - SCOPUS:84947308476

SN - 9783319218427

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

SP - 104

EP - 117

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

A2 - Ambite, Jose-Luis

A2 - Naveen, Ashish N.

PB - Springer Verlag

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

Y2 - 9 July 2015 through 10 July 2015

ER -

Terminology development towards harmonizing multiple clinical neuroimaging research repositories

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this