A multimodal platform for cloud-based collaborative research

Joost B. Wagenaar, Benjamin Brinkmann, Zachary Ives, Gregory Alan Worrell, Brian Litt

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

24 Citations (Scopus)

Abstract

The need for sharing and analyzing large-scale data sets in scientific research has increased significantly over the last decade. Despite multiple efforts, there is currently no single platform that is widely used to search for, share, and perform custom data analysis over large numbers of TB-scale datasets using cloud technologies. We present a cloud-based portal and data integration/access platform to fulfill this need. The IEEG-Portal is being developed as a means to share and collaborate on projects containing large EEG datasets. It currently contains over 75 de-identified intracranial EEG datasets as well as imaging and associated meta-information, and a variety of datasets from animals. The IEEG-Portal is modular by design, which results in a highly extensible platform for neural data analysis on the cloud. In this paper, we highlight the current state of the portal infrastructure; its capabilities for fostering collaborative research and data-validation, and the challenges that are inherent to sharing and analyzing datasets using a global collaborative cloud-based platform.

Original languageEnglish (US)
Title of host publicationInternational IEEE/EMBS Conference on Neural Engineering, NER
Pages1386-1389
Number of pages4
DOIs
StatePublished - 2013
Event2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013 - San Diego, CA, United States
Duration: Nov 6 2013Nov 8 2013

Other

Other2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013
CountryUnited States
CitySan Diego, CA
Period11/6/1311/8/13

Fingerprint

Electroencephalography
Data integration
Animals
Imaging techniques

ASJC Scopus subject areas

  • Artificial Intelligence
  • Mechanical Engineering

Cite this

Wagenaar, J. B., Brinkmann, B., Ives, Z., Worrell, G. A., & Litt, B. (2013). A multimodal platform for cloud-based collaborative research. In International IEEE/EMBS Conference on Neural Engineering, NER (pp. 1386-1389). [6696201] https://doi.org/10.1109/NER.2013.6696201

A multimodal platform for cloud-based collaborative research. / Wagenaar, Joost B.; Brinkmann, Benjamin; Ives, Zachary; Worrell, Gregory Alan; Litt, Brian.

International IEEE/EMBS Conference on Neural Engineering, NER. 2013. p. 1386-1389 6696201.

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

Wagenaar, JB, Brinkmann, B, Ives, Z, Worrell, GA & Litt, B 2013, A multimodal platform for cloud-based collaborative research. in International IEEE/EMBS Conference on Neural Engineering, NER., 6696201, pp. 1386-1389, 2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013, San Diego, CA, United States, 11/6/13. https://doi.org/10.1109/NER.2013.6696201
Wagenaar JB, Brinkmann B, Ives Z, Worrell GA, Litt B. A multimodal platform for cloud-based collaborative research. In International IEEE/EMBS Conference on Neural Engineering, NER. 2013. p. 1386-1389. 6696201 https://doi.org/10.1109/NER.2013.6696201
Wagenaar, Joost B. ; Brinkmann, Benjamin ; Ives, Zachary ; Worrell, Gregory Alan ; Litt, Brian. / A multimodal platform for cloud-based collaborative research. International IEEE/EMBS Conference on Neural Engineering, NER. 2013. pp. 1386-1389
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