Integrating Blockchain for Data Sharing and Collaboration Support in Scientific Ecosystem Platform

Coelho, Raiane; Braga, Regina; David, José; Dantas, Mário A. R.; Ströele, Victor; Campos, Fernanda

doi:10.24251/hicss.2021.031

Cited by 9 publications

(7 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Blockflow was developed considering the DSR methodology [30], in two cycles. We constructed the BlockFlow architecture in the first cycle and carried out a Proof of Concept (PoC) [15]. In the second cycle, we improved the BlockFlow architecture and performed a Case Study (CS) in genomic sequencing of the new SARS-CoV-2 coronavirus.…”

Section: Methodsmentioning

confidence: 99%

“…BlockFlow is part of a Scientific Software Ecosystem (SSECO) [8], named E-SECO [2,15] developed in an E-Science joint project led by the Federal University of Juiz de Fora, Brazil. E-SECO provides a platform that allows the accomplishment of experiment steps.…”

Section: Vol: (0123456789)mentioning

confidence: 99%

“…All modules of the Hyperledger Fabric architecture work based on Dockers container technology and have been specified in yaml files and are initialized using the docker-compose tool. The BlockFlow architecture uses release 1.4 of Hyperledger 15 . Raft is the consensus protocol used.…”

Section: Implementation Technologiesmentioning

confidence: 99%

See 2 more Smart Citations

A Blockchain-Based Architecture for Trust in Collaborative Scientific Experimentation

et al. 2022

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Vol: (0123456789)mentioning

confidence: 99%

See 1 more Smart Citation

A Blockchain-Based Architecture for Trust in Collaborative Scientific Experimentation

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…Another characteristic is using specific technologies such as blockchain or cloud technologies to enable data sharing. Authors such as (Abbas et al, 2021;Coelho et al, 2021;Karger et al, 2021) recommend using blockchain, for example, in the form of blockchain-based marketplaces, to create added value for users (Abbas et al, 2021). With the help of blockchain, processes are presented transparently so that participants can openly see the interactions within their network (Coelho et al, 2021).…”

Section: Characteristics Of Data Sharingmentioning

confidence: 99%

How to Control User Private Data Access in Mixed Reality Platforms using Blockchain?

Mazumdar,

Hussain,

Mukkamala

2024

Proceedings of the Annual Hawaii International Conference on System Sciences

View full text Add to dashboard Cite

The importance of data as a key resource is a universal theme dominating social and business life. In this regard, inter-organizational data sharing shines in a new light prompting businesses to leverage the potential of their own data. However, it is still unclear what data sharing actually entails, i.e., what it means, what its potentials are, and what barriers organizations must overcome. In short, it lacks conceptual clarity and a clear description of its characteristics. The conceptual ambiguity and the synonymous use with data exchange in the literature are particularly problematic, which prevents a targeted conceptualization and use. The paper starts precisely at this point as it proposes a unifying definition and characteristics of data sharing. We report on a systematic literature review characterizing data sharing and delineating it from data exchange.

show abstract

“…More recent research suggests using blockchain technology for the development of research workflow solutions for provenance, reliability, and collaboration [52]- [57], and in different steps of the research activities to ensure transparency in data acquisition, data processing, research fund distribution, researchers' contribution and the publication review process [58]- [61].…”

Section: Related Workmentioning

confidence: 99%

A Blockchain-Based Approach to Provenance and Reproducibility in Research Workflows

Wittek

Lawton

et al. 2021

2021 IEEE International Conference on Blockchain and Cryptocurrency (ICBC)

View full text Add to dashboard Cite

The traditional Proof of Existence blockchain service on the Bitcoin network can be used to verify the existence of any research data at a specific point of time, and to validate the data integrity, without revealing its content. Several variants of the blockchain service exist to certify the existence of data relying on cryptographic fingerprinting, thus enabling an efficient verification of the authenticity of such certifications. However, nowadays research data is continuously changing and being modified through different processing steps in most scientific research workflows such that certifications of individual data objects seem to be constantly outdated in this setting. This paper describes how the blockchain and distributed ledger technology can be used to form a new certification model, that captures the research process as a whole in a more meaningful way, including the description of the used data through its different stages and the associated computational pipeline, code for analysis and the experimental design. The scientific blockchain infrastructure bloxberg, together with a deep learning based analysis from the behavioral science field are used to show the applicability of the approach.

show abstract

Integrating Blockchain for Data Sharing and Collaboration Support in Scientific Ecosystem Platform

Cited by 9 publications

References 20 publications

A Blockchain-Based Architecture for Trust in Collaborative Scientific Experimentation

A Blockchain-Based Architecture for Trust in Collaborative Scientific Experimentation

How to Control User Private Data Access in Mixed Reality Platforms using Blockchain?

A Blockchain-Based Approach to Provenance and Reproducibility in Research Workflows

Contact Info

Product

Resources

About