Blockchain Papers

Kathleen L. Hayes, Natalie Meyers, Christopher Sweet, Ayenew Ashenef · 7 authors

Substandard and falsified (SF) pharmaceuticals account for an estimated 10% of the pharmaceutical supply chain in low- and middle-income countries (LMICs), where a lack of regulatory and laboratory resources limits the ability to conduct effective post-market surveillance and allows SF products to penetrate the supply chain. The Distributed Pharmaceutical Analysis Laboratory (DPAL) was established in 2014 to expand testing of pharmaceutical dosage forms sourced from LMICs; DPAL is an alliance of academic institutions throughout the United States and abroad that provides high-quality, validated chemical analysis of pharmaceutical dosage forms sourced from partners in LMICs. Results from analysis are reported to relevant regulatory agencies and are used to inform purchasing decisions made by in-country stakeholders. As the DPAL program has expanded to testing more than 1,000 pharmaceutical dosage forms annually, challenges have surfaced regarding data management and sample tracking. Here, we describe a pilot project between DPAL and ARTiFACTs that applies the blockchain to organize and manage key data generated during the DPAL workflow, including a sample's progress through the workflow, its physical location, provenance of metadata, and lab reputability. Recording time and date stamps with these data will create a permanent and verifiable chain of custody for samples. This secure, distributed ledger will be linked to an easy-to-use dashboard, allowing stakeholders to view results and experimental details for each sample in real time and verify the integrity of DPAL analysis data. Introducing this blockchain-based system as a pilot will allow us to test the technology with real users analyzing real samples. Feedback from users will be recorded and necessary adjustments will be made to the system before the implementation of blockchain across all DPAL sites. Anticipated benefits of implementing the blockchain technology for managing DPAL data include efficient management for routing work, increasing throughput, creating a chain of custody for samples and their data in alignment with the distributed nature of DPAL, and using the analysis results to detect patterns of quality within and across brands of products and develop enhanced sampling techniques and best practices.

Kevin A. Clauson, Rachel D. Crouch, Elizabeth A. Breeden, Nicole Salata

No abstract is available for this record.

Divyansh Agrawal, Sachin Minocha, Suyel Namasudra, Amir H. Gandomi

No abstract is available for this record.

Abeer Mirdad, Farookh Khadeer Hussain

No abstract is available for this record.

Jens Ducrée

Since its inception in the late 2000s, blockchain has emerged as a powerful tool for creating trust without intermediaries to incentivize global communities for working for a common goal, such as the improvement of its very ecosystem, its applications and community adoption. While first blockchains were mainly devised for confirming transactions of their innate cryptocurrencies like Bitcoin, smart-contract blockchains like Ethereum can interface with the real-world through so-called “oracles”, which feed trustful off-chain information. This paper introduces digital twins of physical objects and processes as computational oracles to effectively unleash the tremendous opportunity offered by blockchain to the realm of fundamental science, research and technology development (RTD). The crowdsourcing concept is illustrated with the example of centrifugal flow control in microfluidic “Lab-on-a-Disc” (LoaD) systems.

Lei Wu, Yki Kortesniemi, Dmitrij Lagutin, Maryam Pahlevan

In recent years, multiple distributed ledger technologies with different strengths and weaknesses have been introduced. This makes them better suited for different use cases, but it also makes interactions between the ledgers more difficult. Interledger technologies try to bridge this gap, but often suffer from obvious limitations: a large portion of the solutions addresses only value exchanges or transfers, others have restrictive assumptions about the ledgers, and some require separate relaying blockchains. This paper introduces the Flexible Interledger Bridge (FIB) design that supports a wide range of use cases and ledger types without requiring any changes to the ledgers themselves. An evaluation of the reference implementation shows it to be a lightweight solution that enables atomic data transfers between two ledgers.

Tran Khanh Dang, Thu Anh Duong

Purpose In the open data context, the shared data could come through many transformation processes, originating from many sources, which exposes the risk of non-authentic data. Moreover, each data set has different properties, shared under various licenses, which means the updated data could change its characteristics and related policies. This paper aims to introduce an effective and elastic solution to keep track of data changes and manage their characteristics within the open data platform. These changes have to be immutable to avoid violated modification and could be used as the certified provenance to improve the quality of data. Design/methodology/approach This paper will propose a pragmatic solution that focuses on the combination of comprehensive knowledge archive network – the broadest used open data platform and hyperledger fabric blockchain to ensure all the changes are immutable and transparent. As using smart contracts plus a standard provenance data format, all processes are running automatically and could be extended to integrate with other provenance systems and so the introduced solution is quite flexible to be used in different open data ecosystems and real-world application domains. Findings The research involves some related studies about the provenance system. This study finds out that most of the studies are focused on the commercial sector or applicable to a specific domain and not relevant for the open-data section. To show that the proposed solution is a logical and feasible direction, this paper conducts an experimental sample to validate the result. The testing model is running successfully with an elastic system architect and promising overall performance. Originality/value Open data is the future of many businesses but still does not receive enough attention from the research community. The paper contributes a novel approach to protect the provenance of open data.

Zhuotao Liu, Yangxi Xiang, Jian Shi, Peng Gao · 9 authors

${\mathsf Web3.0}$, often cited to drastically shape our lives, is ubiquitous. However, few literatures have discussed the crucial differentiators that separate${\mathsf Web3.0}$from the era we are currently living in. Via a thorough analysis of the recent blockchain infrastructure evolution, we capture a key invariant featuring the evolution, based on which we provide the first academic definition for${\mathsf Web3.0}$. Our definition is not the only way of understanding${\mathsf Web3.0}$, yet, it captures the fundamental and defining trait of${\mathsf Web3.0}$, and meanwhile it is has two desirable properties. Under this definition, we articulate three key categories of infrastructural enablers for${\mathsf Web3.0}$: individual smart-contract capable blockchains, federated or centralized platforms capable of publishing verifiable states, and an interoperability platform to hyperconnect those state publishers to provide a unified and connected computing platform for${\mathsf Web3.0}$applications. While innovations in all categories are necessary to fully enable${\mathsf Web3.0}$, in this article, we present a design for the third enabler, i.e., the first interoperability platform, namely${\mathsf HyperService}$, that advances the state-of-the-art by simultaneously deliversinteroperabilityandprogrammabilityacrossheterogeneousblockchains and state publishers.${\mathsf HyperService}$is powered by two innovative designs:${\mathsf (i)}$a developer-facing programming framework that allows developers to build cross-chain applications in a unified programming model; and${\mathsf (ii)}$a secure blockchain-facing cryptography protocol that provably realizes those applications on blockchains. We implement a prototype of${\mathsf HyperService}$in approximately 62,000 lines of code to demonstrate its practicality, usability and scalability.

Abdullah Al-Mamun, Feng Yan, Dongfang Zhao

The state-of-the-art for auditing and reproducing scientific applications on high-performance computing (HPC) systems is through a data provenance subsystem. While recent advances in data provenance lie in reducing the performance overhead and improving the user's query flexibility, the fidelity of data provenance is often overlooked: there is no such way to ensure that the provenance data itself has not been fabricated or falsified. This paper advocates leveraging blockchains to deliver immutable and autonomous data provenance services such that scientific discoveries are trustworthy. The challenges for adopting blockchains to HPC include designing a new blockchain architecture compatible with the HPC platforms and, more importantly, a set of new consensus protocols for scientific applications atop blockchains. To this end, we have designed the proof-of-scalable-traceability (POST) protocol and implemented it in a blockchain prototype, namely SciChain, the very first practical blockchain system for provenance services on HPC. We evaluated SciChain by comparing it with multiple state-of-the-art systems; experimental results showed that SciChain guaranteed trustworthy data provenance while incurring orders of magnitude lower overhead than existing solutions.

Mueen Uddin, Khaled Salah, Raja Jayaraman, Saša Pešić · 5 authors

Pharmaceutical supply chain (PSC) consists of multiple stakeholders including raw material suppliers, manufacturers, distributors, regulatory authorities, pharmacies, hospitals, and patients. The complexity of product and transaction flows in PSC requires an effective traceability system to determine the current and all previous product ownerships. In addition, digitizing track and trace process provides significant benefit for regulatory oversight and ensures product safety. Blockchain-based drug traceability offers a potential solution to create a distributed shared data platform for an immutable, trustworthy, accountable and transparent system in the PSC. In this paper, we present an overview of product traceability issues in the PSC and envisage how blockchain technology can provide effective provenance, track and trace solution to mitigate counterfeit medications. We propose two potential blockchain based decentralized architectures, Hyperledger Fabric and Besu to meet critical requirements for drug traceability such as privacy, trust, transparency, security, authorization and authentication, and scalability. We propose, discuss, and compare two potential blockchain architectures for drug traceability. We identify and discuss several open research challenges related to the application of blockchain technology for drug traceability. The proposed blockchain architectures provide a valuable roadmap for Health Informatics researchers to build and deploy an end-to-end solution for the pharmaceutical industry.

Mohammad Madine, Khaled Salah, Raja Jayaraman, Yousof Al-Hammadi · 6 authors

Blockchain technology has the potential to revolutionize industries by offering decentralized, transparent, data provenance, auditable, reliable, and trustworthy features. However, cross-chain interoperability is one of the crucial challenges preventing widespread adoption of blockchain applications. Cross-chain interoperability represents the ability for one blockchain network to interact and share data with another blockchain network. Contemporary cross-chain interoperability solutions are centralized and require re-engineering of the core blockchain stack to enable inter-communication and data sharing among heterogeneous blockchain networks. In this paper, we propose an application-based cross-chain interoperability solution that allows blockchain networks of any architecture type and industrial focus to inter-communicate, share data, and make requests. Our solution utilizes the decentralized applications as a distributed translation layer that is capable of communicating and understanding multiple blockchain networks, thereby delegating requests and parameters among them. The architecture uses incentivized verifier nodes that maintain the integrity of shared data facilitating them to be readable by the entities of their network. We define and describe the roles and requirements of major entities of inter-operating blockchain networks in the context of healthcare. We present a detailed explanation of the sequence of interactions needed to share an Electronic Medical Record (EMR) document from one blockchain network to another along with the required algorithms. We implement the proposed solution with Ethereum-based smart contracts for two hospitals and also present cost and security analysis for the cross-chain interoperability solution. We make our smart contracts code and testing scripts publicly available.

Boris Düdder, Vladislav V. Fomin, Tan Gürpinar, Michael Henke · 9 authors

The early development of blockchain technology (BCT) has already demonstrated the technology's potential to serve the needs of different industries. BCT has also become established as a popular research topic in different scientific disciplines. This paper aims at introducing how several relevant scientific disciplines—supply chain management; management, economics and finance; computer science; security engineering—see the research and education perspectives for BCT. A field review is conducted to present challenges and opportunities of BCT, as well as suggestions for future research and education on the topic as seen from the selected different perspectives. The paper also presents methods for combining relevant disciplines in a modular online course to address the stated challenges and promote interdisciplinary blockchain education.

Christoffer Olsson, Mohsen Toorani

Research and development of novel molecular compounds in the pharmaceutical industry can be highly costly. Lack of confidentiality can prevent a product from being patented or commercialized. As an effect, cross-organizational collaboration is virtually non-existent. In this paper, we introduce a blockchain-based solution to the collaborative drug discovery problem so that participants can maintain full ownership of the asset and upload partial information about molecules without revealing the molecule itself. A prototype is also implemented using the blockchain technology Hyperledger Fabric and analyzed from security and performance perspectives. The prototype provides a set of functionalities that makes sure that ownership is maintained, integrity is protected, and critical information remains confidential. From a performance perspective, it provides a good throughput and latency in the order of milliseconds. However, further improvements could be done to the scalability of the syst em.

Manar Abu Talib, Sohail Abbas, Qassim Nasir, Fatima Dakalbab · 7 authors

No abstract is available for this record.

Ahmad Musamih, Raja Jayaraman, Khaled Salah, Haya R. Hasan · 6 authors

Distribution and delivery of Coronavirus 2019 (COVID-19) vaccines have become challenging after their emergence. Today's platforms and systems leveraged for managing data related to COVID-19 vaccines' distribution and delivery fall short in providing transparency, trackability and traceability, immutability, audit, and trust features. Also, they are vulnerable to the single point of failure problem due to centralization. Such limitations hindering the safe, secure, transparent, trustworthy, and reliable distribution and delivery process of COVID-19 vaccines. In this paper, we propose an Ethereum blockchain-based solution for managing data related to COVID-19 vaccines' distribution and delivery. We develop smart contracts to automate the traceability of COVID-19 vaccines while ensuring data provenance, transparency, security, and accountability. We integrate the Ethereum blockchain with off-chain storage to manage non-critical and large-sized data. We present algorithms and discuss their full implementation, testing, and validation details. We evaluate the proposed solution by performing cost and security analysis as well as comparing it with the existing non-blockchain and blockchain-based solutions. Performance evaluation results reveal that the proposed solution is low-cost, and our smart contracts are secure enough against possible attacks and vulnerabilities. The smart contracts code along with testing scripts is made publicly available.

David F. Ferraiolo, Joanna F. DeFranco, D. Richard Kuhn, Joshua Roberts

Distributed systems have always presented complex challenges, and technology trends are in many ways making the software designer's job more difficult. In particular, today's systems must successfully handle.

Yanheng Xu, Rulin Liu, Jiagen Li, Yao Xu · 5 authors

Given that robots are being utilized extensively in chemical synthesis research, the potential applications of robots remain to be explored. Along with the remarkable progress of experimental science, circumstances have occurred in which publications were castigated because of irreproducibility, either because of rigorous experimental conditions or because of initial data forgery. Some credit-assignment issues and plagiarism cases also attracted intense attention throughout the community. As a possible solution to authenticity and originality problems, we herein propose a blockchain integrated automatic experiment platform, BiaeP, which attempts to provide solutions for those kinds of problems. As a result of the integration with blockchain, its data irreversibility secures the authenticity and the timestamp helps prove the originality. Two trial experiments are included as examples. We believe the architecture of BiaeP could be widely applicable for future development of scientific research in experimental subjects, such as chemistry, materials science, biology, and so forth.

Magnus W. D. Hanson‐Heine, Alexander P. Ashmore

Blockchain technology has had a substantial impact across multiple disciplines, creating new methods for storing and processing data with improved transparency, immutability, and reproducibility. These developments come at a time when the reproducibility of many scientific findings has been called into question, including computational studies. Here we present a computational chemistry simulation run directly on a blockchain virtual machine, using a harmonic potential to model the vibration of carbon monoxide. The results demonstrate for the first time that computational science calculations are feasible entirely within a blockchain environment and that they can be used to increase transparency and accessibility across the computational sciences.

Keke Gai, Ziyue Hu, Liehuang Zhu, Ruili Wang · 5 authors

No abstract is available for this record.

Ferdınando Chıacchıo, Lucio Compagno, Diego D’Urso, Luca Velardita · 5 authors

With the growth of a global market, new regulations aiming at preventing the fraud of counterfeiting drugs have been released all over the world. In the pharma industry, an innovative technology named serialization is becoming more and more popular as it allows to implement a packaging process based on a hierarchical aggregation. This guarantees that each box entering in the distribution network is marked with a unique identifier for an easy traceability by a central regulatory in charge to follow the life cycle of the product until given to the final patient. In this scenario, the blockchain might offer a breakthrough proposing a decentralized and immutable traceability mechanism able to increase the security of the data and to reduce the success of a fraud attempt. To demonstrate the effectiveness of this technology, in this paper, a DAPP based on the Ethereum blockchain has been coded and tested as prototype in a pharma industry.

Harry E. Pence

High Resolution Image Download MS PowerPoint Slide Aside from a few brave souls who follow the financial gyrations of the online currrency known as Bitcoin, most chemists are probably not very familiar with blockchain. Blockchain is a security technnology that can replace traditional academic transcripts as well as provide a new model for sharing scientific information. It might be useful as a pedagogical tool and even as a way to manage the arrival and inventory of the chemical stockroom. Blockchain may also be used to determine ownership of intellectual property and to track the shipment of chemicals to prevent their use for illegal purposes, such as terrorism.

Dinuni Fernando, Siddharth Kulshrestha, J. Dinal Herath, Nitin Mahadik · 9 authors

Modern scientific workflow systems lack strong support for protecting the scientific data and their provenance from being forged or altered. As a result, scientists may be misled into believing that they have found a specific result, but only to discover later that the data they used have been altered and should not be trusted. To address this limitation, we develop a new system called SciBlock that leverages recent advances in blockchain technology to provide a tamper-proof and non-repudiable storage for scientific workflow provenance. SciBlock provides primitives that allow users to query scientific workflow provenance data efficiently. Moreover, SciBlock offers the capability of invalidating wrong or outdated scientific workflow provenance data without removing them from the blockchain. We conducted extensive experiments to evaluate the performance and scalability of SciBlock. Our experimental results show that SciBlock offers a promising approach to enhancing scientific research integrity in a distributed collaborative environment.

Stephan Leible, Steffen Schlager, Moritz Schubotz, Béla Gipp

Many sectors, like finance, medicine, manufacturing, and education, use blockchain applications to profit from the unique bundle of characteristics of this technology. Blockchain technology (BT) promises benefits in trustability, collaboration, organization, identification, credibility, and transparency. In this paper, we conduct an analysis in which we show how open science can benefit from this technology and its properties. For this, we determined the requirements of an open science ecosystem and compared them with the characteristics of BT to prove that the technology suits as an infrastructure. We also review literature and promising blockchain-based projects for open science to describe the current research situation. To this end, we examine the projects in particular for their relevance and contribution to open science and categorize them afterwards according to their primary purpose. Several of them already provide functionalities that can have a positive impact on current research workflows. So, BT offers promising possibilities for its use in science, but why is it then not used on a large-scale in that area? To answer this question, we point out various shortcomings, challenges, unanswered questions, and research potentials that we found in the literature and identified during our analysis. These topics shall serve as starting points for future research to foster the BT for open science and beyond, especially in the long-term.

Ilhaam A. Omar, Raja Jayaraman, Khaled Salah, Mecit Can Emre Simsekler

Blockchain is a distributed ledger that ensures the authenticity of business transactions without the involvement of intermediaries, brokers or trusted third parties. The main features of blockchain technology include transparency, immutability and data provenance offers an important role in satisfying the requirements of a more secure, visible, efficient, and trusted clinical trial (CT) management. This is because the traditional CTs face significant challenges such as protocol compliance, transparency and patient enrollment. In this paper we discuss how blockchain technology can be leveraged to tackle data management challenges in clinical trials. We propose a blockchain-based framework using Ethereum based smart contract. In the framework, three stages of a CT process were captured: new drug application, CT initiation and patient enrollment stages. The framework captures key interactions among CT stakeholders including the regulatory agency, drug sponsor, principal investigator, physician and patients. The smart contract was written in Remix IDE and was successfully compiled and tested for different scenarios. The proposed approach and results can be highly beneficial to various stakeholders in CT data management.