# Validation and user experience testing of DataCryptChain: An open-source standard combining blockchain technology with asymmetric encryption for private, secure, shareable, and tamper-proof research data

**Authors:** Jeffrey Michael Franc

PMC · DOI: 10.1371/journal.pdig.0000741 · PLOS Digital Health · 2025-02-24

## TL;DR

DataCryptChain is a secure, open-source tool that uses blockchain and encryption to protect research data, but needs a better user interface.

## Contribution

The paper introduces DataCryptChain, a novel working software implementation combining blockchain and asymmetric encryption for secure data sharing.

## Key findings

- DataCryptChain detected tampering with 100% sensitivity and specificity in 10,000 simulated datasets.
- All volunteers successfully installed the software and transmitted data securely without sharing passwords.
- User experience testing revealed that while functional, the software needs a more user-friendly interface for widespread adoption.

## Abstract

DataCryptChain is an open-source standard combining blockchain with advanced encryption ensuring research data remains private, secure, shareable, and tamper-proof. Ability to detect intentional tampering of data was measured, and user experience was evaluated. In this study, simulated datasets were randomized to be tampered with or not tampered with, and detection of tampering was measured. Volunteer’s ability to complete assigned tasks using the software was evaluated. Among 10000 simulated datasets (4436 randomized to tampering) there was 100% sensitivity and specificity for detection. All volunteers successfully installed DataCryptChain and 5/6 completed their tasks. All participants were able to transmit data without ever exposing unencrypted data and with no need to share passwords. Several deficiencies in the user experience were noted. Importantly, the test users felt that although they would be willing to use DataCryptChain in practice, it would need a more user-friendly interface. This study demonstrates a novel algorithm using blockchain and asymmetric encryption that, although previously documented theoretically, has never been published as a working software package. While DataCryptChain has 100% sensitivity and specificity for detecting data tampering, further development is needed to improve the user experience.

Keeping private data secure is of upmost importance for patients and researchers. However, there is no easily accessible and commonly used method to perform research on data and still maintain this security. DataCryptChain is a software tool that researchers can use to ensure data remains private, secure, shareable, and tamper-proof. It combines the technology of blockchain (like that used in Bitcoin and other cryptocurrency) and advanced encryption techniques to do so. In this study, we tested the ability of DataCryptChain to detect if someone was intentionally tampering with research data. The software could detect 100% of the time if data was tampered with. In addition, we tested the ability of scientists to use the software by assigning them some specific tasks to do. Although most scientists (5/6) were able to complete their tasks, most found the software difficult to use. In the end, DataCryptChain is an excellent tool to keep private data secure. However, the tool will need many improvements to make it easier for scientists to use.

## Full-text entities

- **Genes:** DCC (DCC netrin 1 receptor) [NCBI Gene 1630] {aka CRC18, CRCR1, HGPPS2, IGDCC1, MRMV1, NTN1R1}
- **Diseases:** autism (MESH:D001321), AI (MESH:C538142)
- **Species:** Homo sapiens (human, species) [taxon 9606], Canis lupus familiaris (dog, subspecies) [taxon 9615]

## Full text

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## Figures

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## References

26 references — full list in the complete paper: https://tomesphere.com/paper/PMC11849895/full.md

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Source: https://tomesphere.com/paper/PMC11849895