Evidence map›Paper›PMID 34883997›Full record

ArticleSensors (Basel, Switzerland)2021

A Smart Contract-Based Dynamic Consent Management System for Personal Data Usage under GDPR.

Mpyana Mwamba Merlec, Youn Kyu Lee, Seng-Phil Hong, Hoh Peter In

Registry-linked trialAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06656247 (Biobanks, Registries and National Health Records), which is not on this map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06656247 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Biobanks, Registries and National Health Records: Modelling a Networking Strategy to Foster Research and Development and to Support the Secondary Use of Data and Samples of Rare Disease Patients: Implementing Dynamic Consent for Rare Disease Patients

TypeobservationalSponsorIstituto Ortopedico RizzoliRan2026 to 2027Enrolled50ConditionsRare DisordersArmsOnline consenting
3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Integrating population-based biobanks: Catalyst for advances in precision health.Computational and structural biotechnology journal · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Mpyana Mwamba MerlecDepartment of Computer Science and Engineering, Korea University, Seoul 02841, Korea.ORCID 0000-0002-8458-4706
Youn Kyu LeeDepartment of Computer Engineering, Hongik University, Seoul 04066, Korea.ORCID 0000-0002-4569-2640
Seng-Phil HongManagement Support Division, Hancom WITH, Inc., Pangyo 13493, Korea.ORCID 0000-0003-4391-7313
Hoh Peter InDepartment of Computer Science and Engineering, Korea University, Seoul 02841, Korea.ORCID 0000-0003-4192-4122

Funding

the MSIT (Ministry of Science and ICT) of the Korean Government National Research Foundation of Korea (NRF): No. NRF-2021R1A2C2012476
6 · The paper itself

Abstract

A massive amount of sensitive personal data is being collected and used by scientists, businesses, and governments. This has led to unprecedented threats to privacy rights and the security of personal data. There are few solutions that empower individuals to provide systematic consent agreements on distinct personal information and control who can collect, access, and use their data for specific purposes and periods. Individuals should be able to delegate consent rights, access consent-related information, and withdraw their given consent at any time. We propose a smart-contract-based dynamic consent management system, backed by blockchain technology, targeting personal data usage under the general data protection regulation. Our user-centric dynamic consent management system allows users to control their personal data collection and consent to its usage throughout the data lifecycle. Transaction history and logs are recorded in a blockchain that provides trusted tamper-proof data provenance, accountability, and traceability. A prototype of our system was designed and implemented to demonstrate its feasibility. The acceptability and reliability of the system were assessed by experimental testing and validation processes. We also analyzed the security and privacy of the system and evaluated its performance.

Indexed as

BlockchainHumansInformed ConsentPrivacyReproducibility of ResultsTechnologyblockchaindata privacy and securitydynamic consent managementgeneral data protection regulation (GDPR)smart contract

Identifiers

PMID34883997
PMCPMC8659597

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.