Adjudicating Violations in Data Sharing Agreements Using Smart Contracts

Author(s):  
Harsh Desai ◽  
Kevin Liu ◽  
Murat Kantarcioglu ◽  
Lalana Kagal
Keyword(s):  
2020 ◽  
Vol 83 ◽  
pp. 106587 ◽  
Author(s):  
Shichang Xuan ◽  
Li Zheng ◽  
Ilyong Chung ◽  
Wei Wang ◽  
Dapeng Man ◽  
...  

2022 ◽  
Author(s):  
Chaochen Hu ◽  
Chao Li ◽  
Guigang Zhang ◽  
Zhiwei Lei ◽  
Mira Shah ◽  
...  

AbstractThe healthcare industry faces serious problems with health data. Firstly, health data is fragmented and its quality needs to be improved. Data fragmentation means that it is difficult to integrate the patient data stored by multiple health service providers. The quality of these heterogeneous data also needs to be improved for better utilization. Secondly, data sharing among patients, healthcare service providers and medical researchers is inadequate. Thirdly, while sharing health data, patients’ right to privacy must be protected, and patients should have authority over who can access their data. In traditional health data sharing system, because of centralized management, data can easily be stolen, manipulated. These systems also ignore patient’s authority and privacy. Researchers have proposed some blockchain-based health data sharing solutions where blockchain is used for consensus management. Blockchain enables multiple parties who do not fully trust each other to exchange their data. However, the practice of smart contracts supporting these solutions has not been studied in detail. We propose CrowdMed-II, a health data management framework based on blockchain, which could address the above-mentioned problems of health data. We study the design of major smart contracts in our framework and propose two smart contract structures. We also introduce a novel search contract for searching patients in the framework. We evaluate their efficiency based on the execution costs on Ethereum. Our design improves on those previously proposed, lowering the computational costs of the framework. This allows the framework to operate at scale and is more feasible for widespread adoption.


2021 ◽  
Vol 11 (24) ◽  
pp. 11693
Author(s):  
Qianyu Wang ◽  
Shaowen Qin

This study examined the requirements for privacy-preserving and interoperability in healthcare data sharing and proposed a blockchain-based solution. The Hyperledger Fabric framework was adopted due to its enterprise-grade data processing capabilities and enhanced privacy protection functions. In addition to the Fabric’s built-in privacy-preserving functions, healthcare data-specific smart contracts with hierarchical access control were developed to strengthen privacy protection in data sharing. The proposed healthcare data-sharing framework is based on Australian medical practices with the aim to upgrade, rather than to replace, the existing data management models. The outcome of this study demonstrates the feasibility of applying blockchain technology to improve privacy-preservation while enhancing interoperability in healthcare data management.


Author(s):  
Olivia Choudhury ◽  
Hillol Sarker ◽  
Nolan Rudolph ◽  
Morgan Foreman ◽  
Nicholas Fay ◽  
...  

Recent changes to the Common Rule, which govern Institutional Review Boards (IRB), require implementing new policies to strengthen research protocols involving human subjects. A major challenge in implementing such policies is an inability to automatically and consistently meet these ethical rules while securing sensitive information collected during the study. In this paper, we propose a novel framework, based on blockchain technology, to enforce IRB regulations on data collection. We demonstrate how to design smart contracts and a ledger to meet the requirements of an IRB protocol, including subject recruitment, informed consent management, secondary data sharing, monitoring risks, and generating automated assessments for continuous review. Furthermore, we show how we can employ the immutable transaction log in the blockchain to embed security in research activities by detecting malicious activities and robustly tracking subject involvement. We evaluate our approach by assessing its ability to enforce IRB guidelines in different types of human subjects studies, including a genomic study, a drug trial, and a wearable sensor monitoring study. Keywords: Blockchain, Data Sharing, Data Exchange, EHR, electronic health record, Ethereum, interplanetary filesystem, IPFS


Author(s):  
Mira Shah ◽  
Chao Li ◽  
Ming Sheng ◽  
Yong Zhang ◽  
Chunxiao Xing

Author(s):  
Tanzeela Sultana ◽  
Abdul Ghaffar ◽  
Muhammad Azeem ◽  
Zain Abubaker ◽  
Muhammad Usman Gurmani ◽  
...  

Author(s):  
Lu-Chi Liu ◽  
Giovanni Sileno ◽  
Tom Van Engers

The combination of smart contracts with blockchain technology enables the authentication of the contract and limits the risks of non-compliance. In principle, smart contracts can be processed more efficiently compared to traditional paper-based contracts. However, current smart contracts have very limited capabilities with respect to normative representations, making them too distant from actual contracts. In order to reduce this gap, the paper presents an architectural analysis to see the role of computational artifacts in terms of various ex-ante and ex-post enforcement mechanisms. The proposed framework is assessed using scenarios concerning data-sharing operations bound by legal requirements from the General Data Protection Regulation (GDPR) and data-sharing agreements.


2021 ◽  
Vol 9 (01) ◽  
pp. 823-834
Author(s):  
A. Anandita Iyer ◽  
◽  
R.K. Shyama Sundar ◽  
Umadevi K.S. ◽  
◽  
...  

Nowadays the whole world is immersed in data. Starting from creating the data, using the data, sharing the data, everyone has control of their respective data. Even the companies rely highly on data as all of their storage and analysis have been computerized. In most traditional methods, the database which is being deployed is deemed trustworthy. But the threat always persists no matter how secure the database is. Attackers perform various types of attacks possible to gain access, tamper or perform any kind of compromising action on the database which will hamper the working of a company/individual.So, the goal is to achieve security against those attacks and additionally avoiding users to obtain information which they are not authorized to.However, there exists a series of relational data such as medical databases where there are two or more parties involved in a database and the trust factor automatically takes a hit. In this paper, I propose a model, that provides authorization, confidentiality, accessibility and privacy for a healthcare database.


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