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Enhancing Data Integrity in Data-Driven Environmental Science Research through Blockchain Technology.

Xiangyu Li1,2, Yuming Huang1, Yifei Liu1

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This summary is machine-generated.

A new blockchain-based system (BSDMS) enhances environmental data integrity. It ensures data immutability and traceability, preventing tampering and improving research reproducibility.

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Area of Science:

  • Environmental Science
  • Computer Science
  • Data Management

Background:

  • Data integrity is critical in environmental research, but current technical solutions are insufficient.
  • Data breaches and tampering pose significant challenges to the reliability of environmental data.

Purpose of the Study:

  • To develop and validate a blockchain-based system for full-process environmental data management.
  • To enhance data integrity, immutability, and traceability in environmental research.

Main Methods:

  • Developed a customized blockchain-based system (BSDMS) using encryption algorithms.
  • Implemented a project-specific, limited distributed storage model.
  • Validated the system through data transmission, processing, and storage scenario tests.

Main Results:

  • BSDMS demonstrated effective data immutability and traceability.
  • The system successfully prevented data tampering and resisted malicious attacks.
  • Performance evaluations showed potential for verifiable, tamper-proof data for publication.

Conclusions:

  • BSDMS enhances transparency, reproducibility, and accountability in environmental research.
  • The system ensures oversight and ethical compliance in environmental data usage.
  • BSDMS offers a robust solution for maintaining data integrity in the data-driven era.