Permissioned Blockchain for Data Provenance in Scientific Data Management

Möller, Julius; Fröschle, Sibylle; Hahn, Axel

doi:10.1007/978-3-030-86800-0_2

Cited by 3 publications

(2 citation statements)

References 30 publications

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“…Simmhan et al define data provenance as the process information from source data to derived data products [7] . Lanter defines data provenance as the description of original data before the derivation of target data and its evolutionary process [8] .…”

Section: Related Workmentioning

confidence: 99%

Secure traceability mechanism of green electricity based on smart contracts and provenance model

Yu,

Yang,

et al. 2024

Heliyon

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Section: Related Workmentioning

confidence: 99%

Secure traceability mechanism of green electricity based on smart contracts and provenance model

Yu,

Yang,

et al. 2024

Heliyon

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“…Although they discuss provenance capture issues, they do not use a provenance model and do not capture provenance during workflow execution. Möller et al [48] introduce a blockchain-based data provenance information system, enabling decentralized information sharing. Although they discuss provenance data and blockchain issues, they do not use a standard provenance model, which is important in a collaborative environment, nor do they detail their blockchain framework.…”

Section: Systematic Literature Mappingmentioning

confidence: 99%

A Blockchain-Based Architecture for Trust in Collaborative Scientific Experimentation

et al. 2022

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In scientific collaboration, data sharing, the exchange of ideas and results are essential to knowledge construction and the development of science. Hence, we must guarantee interoperability, privacy, traceability (reinforcing transparency), and trust. Provenance has been widely recognized for providing a history of the steps taken in scientific experiments. Consequently, we must support traceability, assisting in scientific results’ reproducibility. One of the technologies that can enhance trust in collaborative scientific experimentation is blockchain. This work proposes an architecture, named BlockFlow, based on blockchain, provenance, and cloud infrastructure to bring trust and traceability in the execution of collaborative scientific experiments. The proposed architecture is implemented on Hyperledger, and a scenario about the genomic sequencing of the SARS-CoV-2 coronavirus is used to evaluate the architecture, discussing the benefits of providing traceability and trust in collaborative scientific experimentation. Furthermore, the architecture addresses the heterogeneity of shared data, facilitating interpretation by geographically distributed researchers and analysis of such data. Through a blockchain-based architecture that provides support on provenance and blockchain, we can enhance data sharing, traceability, and trust in collaborative scientific experiments.

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ProML: A Decentralised Platform for Provenance Management of Machine Learning Software Systems

Tran

Sabir

Babar

et al. 2022

Software Architecture

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Permissioned Blockchain for Data Provenance in Scientific Data Management

Cited by 3 publications

References 30 publications

Secure traceability mechanism of green electricity based on smart contracts and provenance model

Secure traceability mechanism of green electricity based on smart contracts and provenance model

A Blockchain-Based Architecture for Trust in Collaborative Scientific Experimentation

ProML: A Decentralised Platform for Provenance Management of Machine Learning Software Systems

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