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Blockchain-Based Food Traceability: A Dataflow Perspective

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Book cover Advances in E-Business Engineering for Ubiquitous Computing (ICEBE 2019)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 41))

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Abstract

Blockchain is a promising technology to address the problems of information asymmetry and information tampering in food traceability. Food data items can be tracked with tamper-resistant blockchain data tagging with the food processing information along the food supply chain. The blockchain dataflow, which identifies the input and output data of the food processing workflow, plays a vital role to design the blockchain-based food traceability systems. In this paper, we provide a framework to identify the blockchain dataflow items with the dimensions of data properties (i.e., static or dynamic) and data requirements (i.e., mandatory or optional). Based on this framework, we propose a dataflow reference model for stakeholders along food supply chains, and provide a dataflow matrix to analyze the stakeholders’ access rights to the traceable food data. The dataflow reference model and matrix can serve as tools to standardize data formats in the design of blockchain-based food traceable systems.

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Acknowledgement

This work was supported by Natural Science Foundation of China (NSFC No. 71701091, 71701043, and 71704078) and the Chinese Ministry of Education Project of Humanities and Social Science (No. 17YJC870020).

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Authors and Affiliations

  1. School of Information Management, Nanjing University, Nanjing, Jiangsu, China

    Xingchen Liu, Jiaqi Yan & Jinbei Song

Authors
  1. Xingchen Liu
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  2. Jiaqi Yan
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  3. Jinbei Song
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Corresponding author

Correspondence to Jiaqi Yan .

Editor information

Editors and Affiliations

  1. ECB, Faculty of Engineering and Computing, Coventry University, Coventry, UK

    Kuo-Ming Chao

  2. School of Software, Shanghai Jiaotong University, Shanghai, China

    Lihong Jiang

  3. School of Business, University of New South Wales, Canberra, ACT, Australia

    Omar Khadeer Hussain

  4. National Taiwan Ocean University, Keelung City, Taiwan

    Shang-Pin Ma

  5. Faculty of Engineering and Computing, Coventry University, Coventry, UK

    Xiang Fei

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Liu, X., Yan, J., Song, J. (2020). Blockchain-Based Food Traceability: A Dataflow Perspective. In: Chao, KM., Jiang, L., Hussain, O., Ma, SP., Fei, X. (eds) Advances in E-Business Engineering for Ubiquitous Computing. ICEBE 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 41. Springer, Cham. https://doi.org/10.1007/978-3-030-34986-8_30

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