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Integrity Protection for Research Artifacts using Open Science Chain’s Command Line Utility

Authors:

Manu Shantharam,

Kai Lin,

Scott Sakai,

Subhashini SivagnanamAuthors Info & Claims

PEARC '21: Practice and Experience in Advanced Research Computing 2021: Evolution Across All Dimensions

Article No.: 31, Pages 1 - 4

https://doi.org/10.1145/3437359.3465587

Published: 17 July 2021 Publication History

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Abstract

Scientific data, its analysis, accuracy, completeness and reproducibility play a vital role in advancing science and engineering. Open Science Chain (OSC) is a cyberinfrastructure platform built using the Hyperledger Fabric (HLF) blockchain technology to address issues related to data reproducibility and accountability in scientific research. OSC preserves integrity of research datasets and enables different research groups to share datasets with the integrity information. Additionally, it enables quick verification of the exact datasets that were used for a particular published research and tracks its provenance.

In this paper, we describe OSC’s command line utility that will preserve the integrity of research datasets from within the researchers’ environment or from remote systems such as HPC resources or campus clusters used for research. The python-based command line utility can be seamlessly integrated within research workflows and provides an easy way to preserve the integrity of research data in OSC blockchain platform.

References

[1]

[n.d.]. CitSci.org. https://citsci.org

Google Scholar

[2]

[n.d.]. HLF raft Protocol. https://hyperledger-fabric.readthedocs.io/en/release-1.4/orderer/ordering_service.html#raft?

Google Scholar

[3]

[n.d.]. Open Science Chain Git Repository. https://github.com/OpenScienceChain

Google Scholar

[4]

[n.d.]. OSC. https://www.opensciencechain.org

Google Scholar

[5]

[n.d.]. SciCrunch Infrastructure. https://scicrunch.org

Google Scholar

[6]

Elli Androulaki, Artem Barger, Vita Bortnikov, Christian Cachin, Konstantinos Christidis, Angelo De Caro, David Enyeart, Christopher Ferris, Gennady Laventman, Yacov Manevich, Srinivasan Muralidharan, Chet Murthy, Binh Nguyen, Manish Sethi, Gari Singh, Keith Smith, Alessandro Sorniotti, Chrysoula Stathakopoulou, Marko Vukolic, Sharon Weed Cocco, and Jason Yellick. 2018. Hyperledger fabric: a distributed operating system for permissioned blockchains. In EuroSys 2018. Association for Computing Machinery, New York, NY, 1?15.

Digital Library

Google Scholar

[7]

J. Basney, H. Flanagan, T. Fleury, J. Gaynor, S. Koranda, and B. Oshrin. 2019. CILogon: Enabling Federated Identity and Access Management for Scientific Collaborations. In Proceedings of the International Symposium on Grids and Clouds (ISGC), PoS(ISGC2019)031. https://doi.org/10.22323/1.351.0031

Crossref

Google Scholar

[8]

Manu Shantharam, Scott Sakai, Kai Lin, and Subhashini Sivagnanam. 2020. Towards building a Fault Tolerant and Secure Open Science Chain. In Gateways 2020 Posters. Virtual.

Google Scholar

[9]

S. Sivagnanam, V. Nandigam, and K. Lin. 2019. Introducing the Open Science Chain – Protecting Integrity and Provenance of Research Data. In PEARC19 Proceedings. Chicago, IL.

Google Scholar

Cited By

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Hossain Chowdhury MBangalore P(2024)Data Security Approaches to Support Open Science on High-Performance Computing Systems2024 33rd International Conference on Computer Communications and Networks (ICCCN)10.1109/ICCCN61486.2024.10637512(1-6)Online publication date: 29-Jul-2024
https://doi.org/10.1109/ICCCN61486.2024.10637512
Sivagnanam SYeu SLin KSakai SGarzon FYoshimoto KPrantzalos KUpadhyaya DMajumdar ASahoo SLytton W(2024)Towards building a trustworthy pipeline integrating Neuroscience Gateway and Open Science ChainDatabase10.1093/database/baae0232024Online publication date: 3-Apr-2024
https://doi.org/10.1093/database/baae023
Coelho RBraga RDavid JStroele VCampos FDantas M(2022)A Blockchain-Based Architecture for Trust in Collaborative Scientific ExperimentationJournal of Grid Computing10.1007/s10723-022-09626-x20:4Online publication date: 1-Dec-2022
https://dl.acm.org/doi/10.1007/s10723-022-09626-x

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Published In

PEARC '21: Practice and Experience in Advanced Research Computing 2021: Evolution Across All Dimensions

July 2021

310 pages

ISBN:9781450382922

DOI:10.1145/3437359

Editors:
Joseph Paris
Northwestern University
,
Jackie Milhans
Northwestern University
,
Betsy Hillery
Purdue University
,
Sharon Broude Geva
University of Michigan
,
Patrick Schmitz
Semper Cogito
,
Robert Sinkovits
San Diego Supercomputer Center

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 17 July 2021

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PEARC '21: Practice and Experience in Advanced Research Computing

July 18 - 22, 2021

MA, Boston, USA

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Hossain Chowdhury MBangalore P(2024)Data Security Approaches to Support Open Science on High-Performance Computing Systems2024 33rd International Conference on Computer Communications and Networks (ICCCN)10.1109/ICCCN61486.2024.10637512(1-6)Online publication date: 29-Jul-2024
https://doi.org/10.1109/ICCCN61486.2024.10637512
Sivagnanam SYeu SLin KSakai SGarzon FYoshimoto KPrantzalos KUpadhyaya DMajumdar ASahoo SLytton W(2024)Towards building a trustworthy pipeline integrating Neuroscience Gateway and Open Science ChainDatabase10.1093/database/baae0232024Online publication date: 3-Apr-2024
https://doi.org/10.1093/database/baae023
Coelho RBraga RDavid JStroele VCampos FDantas M(2022)A Blockchain-Based Architecture for Trust in Collaborative Scientific ExperimentationJournal of Grid Computing10.1007/s10723-022-09626-x20:4Online publication date: 1-Dec-2022
https://dl.acm.org/doi/10.1007/s10723-022-09626-x

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Introducing the Open Science Chain: Protecting Integrity and Provenance of Research Data

Research advances by using interoperable e-science infrastructures

Patterns for software integrity protection

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Introducing the Open Science Chain: Protecting Integrity and Provenance of Research Data

Research advances by using interoperable e-science infrastructures

Patterns for software integrity protection

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