Collaborative Visual Analytics Using Blockchain

Darius Coelho; Rubin Trailor; Daniel Sill; Sophie Engle; Alark Joshi; Serge Mankovskii; Maria Velez-Rojas; Steven Greenspan; Klaus Mueller

doi:10.1007/978-3-030-60816-3_24

Collaborative Visual Analytics Using Blockchain

Darius Coelho
, Rubin Trailor
, Daniel Sill
, Sophie Engle
, Alark Joshi
, Serge Mankovskii
, Maria Velez-Rojas
, Steven Greenspan
, Klaus Mueller

Computer Science

Stony Brook University

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

Abstract

Blockchain, a decentralized, distributed and encrypted ledger, was created to eliminate the need for a central trusted entity. Blockchains provide users with a secure, trusted, auditable, and immutable record of transactions and are applicable to systems that require a trustworthy record of information. Our work explores the use of blockchain in collaborative visual analytics systems where users share and store a record of the visual analysis of some data. We built Share.va, a framework that allows users to store and share the states of visual analytics dashboards through a blockchain. We apply Share.va to an existing visual analytics dashboard and conduct a pilot study to understand the effectiveness and limitations of blockchain in collaborative visual analytics.

Original language	English
Title of host publication	Cooperative Design, Visualization, and Engineering - 17th International Conference, CDVE 2020, Proceedings
Editors	Yuhua Luo
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	209-219
Number of pages	11
ISBN (Print)	9783030608156
DOIs	https://doi.org/10.1007/978-3-030-60816-3_24
State	Published - 2020
Event	17th International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2020 - Bangkok, Thailand Duration: Oct 25 2020 → Oct 28 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12341 LNCS

Conference

Conference	17th International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2020
Country/Territory	Thailand
City	Bangkok
Period	10/25/20 → 10/28/20

Keywords

Blockchain
Collaborative visualization
Provenance

Access to Document

10.1007/978-3-030-60816-3_24

Cite this

Coelho, D., Trailor, R., Sill, D., Engle, S., Joshi, A., Mankovskii, S., Velez-Rojas, M., Greenspan, S., & Mueller, K. (2020). Collaborative Visual Analytics Using Blockchain. In Y. Luo (Ed.), Cooperative Design, Visualization, and Engineering - 17th International Conference, CDVE 2020, Proceedings (pp. 209-219). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12341 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-60816-3_24

Coelho, Darius ; Trailor, Rubin ; Sill, Daniel et al. / Collaborative Visual Analytics Using Blockchain. Cooperative Design, Visualization, and Engineering - 17th International Conference, CDVE 2020, Proceedings. editor / Yuhua Luo. Springer Science and Business Media Deutschland GmbH, 2020. pp. 209-219 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Collaborative Visual Analytics Using Blockchain",

abstract = "Blockchain, a decentralized, distributed and encrypted ledger, was created to eliminate the need for a central trusted entity. Blockchains provide users with a secure, trusted, auditable, and immutable record of transactions and are applicable to systems that require a trustworthy record of information. Our work explores the use of blockchain in collaborative visual analytics systems where users share and store a record of the visual analysis of some data. We built Share.va, a framework that allows users to store and share the states of visual analytics dashboards through a blockchain. We apply Share.va to an existing visual analytics dashboard and conduct a pilot study to understand the effectiveness and limitations of blockchain in collaborative visual analytics.",

keywords = "Blockchain, Collaborative visualization, Provenance",

author = "Darius Coelho and Rubin Trailor and Daniel Sill and Sophie Engle and Alark Joshi and Serge Mankovskii and Maria Velez-Rojas and Steven Greenspan and Klaus Mueller",

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year = "2020",

doi = "10.1007/978-3-030-60816-3\_24",

language = "English",

isbn = "9783030608156",

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

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}

Coelho, D, Trailor, R, Sill, D, Engle, S, Joshi, A, Mankovskii, S, Velez-Rojas, M, Greenspan, S & Mueller, K 2020, Collaborative Visual Analytics Using Blockchain. in Y Luo (ed.), Cooperative Design, Visualization, and Engineering - 17th International Conference, CDVE 2020, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12341 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 209-219, 17th International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2020, Bangkok, Thailand, 10/25/20. https://doi.org/10.1007/978-3-030-60816-3_24

Collaborative Visual Analytics Using Blockchain. / Coelho, Darius; Trailor, Rubin; Sill, Daniel et al.
Cooperative Design, Visualization, and Engineering - 17th International Conference, CDVE 2020, Proceedings. ed. / Yuhua Luo. Springer Science and Business Media Deutschland GmbH, 2020. p. 209-219 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12341 LNCS).

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

TY - GEN

T1 - Collaborative Visual Analytics Using Blockchain

AU - Coelho, Darius

AU - Trailor, Rubin

AU - Sill, Daniel

AU - Engle, Sophie

AU - Joshi, Alark

AU - Mankovskii, Serge

AU - Velez-Rojas, Maria

AU - Greenspan, Steven

AU - Mueller, Klaus

PY - 2020

Y1 - 2020

N2 - Blockchain, a decentralized, distributed and encrypted ledger, was created to eliminate the need for a central trusted entity. Blockchains provide users with a secure, trusted, auditable, and immutable record of transactions and are applicable to systems that require a trustworthy record of information. Our work explores the use of blockchain in collaborative visual analytics systems where users share and store a record of the visual analysis of some data. We built Share.va, a framework that allows users to store and share the states of visual analytics dashboards through a blockchain. We apply Share.va to an existing visual analytics dashboard and conduct a pilot study to understand the effectiveness and limitations of blockchain in collaborative visual analytics.

AB - Blockchain, a decentralized, distributed and encrypted ledger, was created to eliminate the need for a central trusted entity. Blockchains provide users with a secure, trusted, auditable, and immutable record of transactions and are applicable to systems that require a trustworthy record of information. Our work explores the use of blockchain in collaborative visual analytics systems where users share and store a record of the visual analysis of some data. We built Share.va, a framework that allows users to store and share the states of visual analytics dashboards through a blockchain. We apply Share.va to an existing visual analytics dashboard and conduct a pilot study to understand the effectiveness and limitations of blockchain in collaborative visual analytics.

KW - Blockchain

KW - Collaborative visualization

KW - Provenance

UR - https://www.scopus.com/pages/publications/85094101403

U2 - 10.1007/978-3-030-60816-3_24

DO - 10.1007/978-3-030-60816-3_24

M3 - Conference contribution

SN - 9783030608156

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

SP - 209

EP - 219

BT - Cooperative Design, Visualization, and Engineering - 17th International Conference, CDVE 2020, Proceedings

A2 - Luo, Yuhua

PB - Springer Science and Business Media Deutschland GmbH

T2 - 17th International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2020

Y2 - 25 October 2020 through 28 October 2020

ER -

Coelho D, Trailor R, Sill D, Engle S, Joshi A, Mankovskii S et al. Collaborative Visual Analytics Using Blockchain. In Luo Y, editor, Cooperative Design, Visualization, and Engineering - 17th International Conference, CDVE 2020, Proceedings. Springer Science and Business Media Deutschland GmbH. 2020. p. 209-219. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-60816-3_24

Collaborative Visual Analytics Using Blockchain

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Keywords

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