Treffer: DGChain: Data control version for trustworthy reproducibility with Blockchain

Title:
DGChain: Data control version for trustworthy reproducibility with Blockchain
Contributors:
Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay), CB - Centre Borelli - UMR 9010 (CB), Service de Santé des Armées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay)-Université Paris Cité (UPCité)
Source:
The Sixth International Conference on Blockchain Computing and Applications (BCCA 2024), Nov 2024, Dubai, United Arab Emirates. ⟨10.1109/bcca62388.2024.10844402⟩
Publisher Information:
CCSD, 2024.
Publication Year:
2024
Collection:
collection:SSA
collection:CNRS
collection:ENS-CACHAN
collection:INSMI
collection:UNIV-PARIS-SACLAY
collection:UNIV-PARIS
collection:UNIVERSITE-PARIS
collection:UP-SCIENCES
collection:UNIVERSITE-PARIS-SACLAY
collection:CGB
collection:ENS-PARIS-SACLAY
collection:ENS-PSACLAY
collection:CB_UMR9010
collection:GS-MATHEMATIQUES
collection:PSACLAY-TEST
Subject Geographic:
Original Identifier:
HAL: hal-04812522
Document Type:
Konferenz conferenceObject<br />Conference papers
Language:
English
Relation:
info:eu-repo/semantics/altIdentifier/doi/10.1109/bcca62388.2024.10844402
DOI:
10.1109/bcca62388.2024.10844402
Rights:
info:eu-repo/semantics/OpenAccess
Accession Number:
edshal.hal.04812522v1
Database:
HAL

Weitere Informationen

This work presents the DGChain (Data-Git-for Blockchain) project. This Python package allows version control of data in blockchain and IPFS based on a DAO (decentralized autonomous organization) for managing data in the development cycles of reproducible computational scientific research. Analyzes the benefits of using this Blockchain-Based Decentralized Architecture to mediate collaborative interactions between developers compared to existing solutions. Presents a use case in developing a medical research project and typical IRIS example to offer the traceability of changes and provenance of metadata, data, and code in Data / Software Version Control systems through management of intrinsic hash-based persistent, immutable CIDs (Content Identifier) recorded in Merkle trees in the development cycle of its main products, publication, software source code, and Data to guarantee reproducibility and trustworthiness in computational scientific research using DGChain.