RESEARCH PAPERS

Research on the Construction and Application of Trusted Traceability Framework for Agricultural Scientific Data

  • Lu Lina ,
  • Yin Lihong ,
  • Yu Xiao ,
  • Zhang Wentao
Expand
  • 1 Business School, Shandong University of Technology, Zibo 255000;
    2 School of Computer Science and Technology, Shandong University of Technology, Zibo 255049
Lu Lina,professor,PhD,master supervisor;Yin Lihong,master candidate;Yu Xiao,associate professor,PhD,master supervisor,corresponding author,E-mail:3050651@qq.com;Zhang Wentao,master candidate.

Received date: 2024-07-10

  Revised date: 2024-11-01

  Online published: 2025-04-10

Supported by

This work is supported by the National Social Science Fund of China project titled “Research on Agricultural Science Data Governance Mechanism and Implementation Path in Digital Intelligence Innovation Ecosystems” (Grant No. 24BTQ031).

Abstract

[Purpose/Significance] In order to comply with the trend of high-quality management of agricultural scientific data, and to ensure the transparency and trustworthiness of agricultural scientific data traceability, a conceptual framework of blockchain-based trusted traceability of agricultural scientific data is constructed. [Method/Process] A four-layer framework of trusted traceability for agricultural science data, FRTASD, was constructed based on the current requirements of trusted traceability and related theories. [Result/Conclusion] This framework logically provides a new idea for the reliable traceability of agricultural scientific data. At the same time, an attempt is made for the reliable traceability of rice scientific data through the investigation of agricultural scientific research websites.

Cite this article

Lu Lina , Yin Lihong , Yu Xiao , Zhang Wentao . Research on the Construction and Application of Trusted Traceability Framework for Agricultural Scientific Data[J]. Library and Information Service, 2025 , 69(8) : 82 -89 . DOI: 10.13266/j.issn.0252-3116.2025.08.008

References

[1] 朱佳丽, 李涵昱, 钱力, 等. 可信数字学术的涵义及实现 框架研究[J]. 中国图书馆学报, 2024, 50(5): 102-113. (ZHU J L, LI H Y, QIAN L, et al. The definition, connotation and implementation framework of trusted digital scholarship[J]. Journal of library science in China, 2024, 50(5): 102-113.)
[2] RAMACHANDRAN A, KANTARCIOGLU M. Smart provenance: a distributed, block-chain based data provenance system[C]//Proceedings of the Eighth ACM conference on data and application security and privacy. Tempe: ACM, 2018: 35-42.
[3] DEDEOGLU V, JURDAK R, PUTRA G D, et al. A trust architecture for blockchain in IOT[C]//Proceedings of the 16th EAI international conference on mobile and ubiquitous systems: computing, networking and services. Houston: ACM, 2019: 190-199.
[4] CAO L, ZHAO S, GAO Z, et al. Cross-chain data provenance mechanism for cross-domain access[J]. The journal of supercomputing, 2023, 79(5): 4944-4961.
[5] LIANG X, SHETTY S, TOSH D, et al. Provchain: a blockchainbased data provenance architecture in a cloud environment with enhanced privacy and availability[C]//2017 17th IEEE/ACM international symposium on cluster, cloud, and grid computing. Madrid: IEEE, 2017: 468-477.
[6] ALI S, WANG G, BHUIYAN M Z A, et al. Secure data provenance in cloud-centric Internet of things via blockchain smart contracts[C]//2018 IEEE smart world, ubiquitous intelligence & computing, advanced & trusted computing, scalable computing & communications, cloud & big data computing, Internet of people, and smart city innovation. Guangzhou: IEEE, 2018: 991-998.
[7] 徐堃, 付印金, 陈卫卫, 等. 基于区块链的云存储安全研究 进展[J]. 计算机科学, 2021, 48(11): 102-115. (XU K, FU Y J, CHEN W W, et al. Research progress on block-chain based cloud storage security mechanism[J]. Computer science, 2021, 48(11): 102-115.)
[8] 魏银珍, 邓仲华, 关玉蓉, 等. 一种基于区块链与智能合约 的科学数据安全溯源方法[J]. 现代情报, 2021, 41(1): 32-38. (WEI Y Z, DENG Z H, GUAN Y R, et al. A method of secure scientific data provenance based on blockchain and smart contracts[J]. Journal of modern information, 2021, 41(1): 32-38.)
[9] 赵丽梅. 基于区块链理念的科学数据溯源研究[J]. 科技管理 研究, 2021, 41(23): 200-204. (ZHAO L M. Study on the scientific data traceability in the perspective of blockchain[J]. Science and technology management research, 2021, 41(23): 200-204.)
[10] 刘海鸥, 何旭涛, 李凯, 等. 区块链数据溯源机制研究综述[J]. 情报杂志, 2022, 41(7): 100-106, 40. (LIU H O, HE X T, LI K, et al. A literature review of blockchain traceability mechanism[J]. Journal of intelligence, 2022, 41(7): 100-106, 40.)
[11] 张学旺, 冯家琦, 殷梓杰, 等. 基于区块链的数据溯源可信 查 询 方 法[J]. 应 用 科 学 学 报, 2021, 39(1): 42-54. (ZHANG X W, FENG J Q, YIN Z J, et al. Trusted query method for data provenance based on blockchain[J]. Journal of applied sciences, 2021, 39(1): 42-54.)
[12] REN W, WAN X, GAN P. A double-blockchain solution for agricultural sampled data security in Internet of things network[J]. Future generation computer systems, 2021, 117: 453-461.
[13] YANG S, LI S, CHEN W, et al. A redactable blockchain-based data management scheme for agricultural product traceability[J]. Sensors, 2024, 24(5): 1667.
[14] GRIFFIN T, HARRIS K, WARD J, et al. Three digital agriculture problems in cotton solved by distributed ledger technology[J]. Applied economic perspectives and policy, 2022, 44(1): 237-252.
[15] TORKY M. Integrating blockchain and the Internet of things in precision agriculture: analysis, opportunities, and challenges[J]. Computers and electronics in agriculture, 2020, 178(1).
[16] DEMESTICHAS K, PEPPES N, ALEXAKIS T, et al. Blockchain in agriculture traceability systems: a review[J]. Applied sciences, 2020, 10(12): 4113.
[17] 陈林蔚. 区块链技术在智慧农业领域中的应用[J]. 江苏农业 学报, 2023, 39(6): 1358-1365. (CHEN L W. The application of blockchain technology in smart agriculture[J]. Jiangsu journal of agricultural sciences, 2023, 39(6): 1358-1365.)
[18] 李阳, 赵启阳, 何云, 等. 基于区块链的热带作物种质资源 溯源技术研究[J]. 热带农业科学, 2023, 43(8): 37-42. (LI Y, ZHAO Q Y, HE Y, et al. Research on traceability technology of tropical crop germplasm resources based on blockchain[J]. Chinese journal of tropical agriculture, 2023, 43(8): 37-42.)
[19] 许继平, 韩佳琪, 张新, 等. 基于可信区块链和可信标识的粮 油质量安全溯源研究[J]. 食品科学, 2023, 44(3): 48-59. (XU J P, HAN J Q, ZHANG X, et al. Quality and safety traceability of grains and oils based on trusted blockchain and trusted identity[J]. Food science, 2023, 44(3): 48-59.)
[20] 朱艳华, 高瑜蔚, 胡良霖, 等. 我国科学数据标准规范实践与 思考[J]. 中国科学数据 (中英文网络版), 2023, 8(1): 165-174. (ZHU Y H, GAO Y W, HU L L, et al. Practice and thinking of scientific data standard in China[J]. China scientific data, 2023, 8(1): 165-174.)
[21] 刘茜. 大数据背景下的农业科学数据共享研究[J]. 农业展望, 2016, 12(7): 55-58. (LIU Q. Agricultural scientific data sharing under the background of big data[J]. Agricultural outlook, 2016, 12(7): 55-58.)
[22] 吴定峰, 刘婷婷, 王剑, 等. 动态信任管理模型在农业科 学数据安全领域的应用探索[J]. 农业图书情报学报, 2020, 32(10): 16-24. (WU D F, LIU T T, WANG J, et al. Applications of dynamic trust management model in agricultural scientific data security[J]. Journal of library and information science in agriculture, 2020, 32(10): 16-24.)
[23] 于成丽, 张阳, 贾世杰. 云环境中数据安全威胁与防护关 键技术研究[J]. 信息网络安全, 2022, 22(7): 55-63. (YU C L, ZHANG Y, JIA S J. Research on data security threats and protection of key technologies in cloud environment[J]. Netinfo security, 2022, 22(7): 55-63.)
[24] 明华, 张勇, 符小辉. 数据溯源技术综述[J]. 小型微型计算机 系统, 2012, 33(9): 1917-1923. (MING H, ZHANG Y, FU X. Survey of data provenance[J]. Journal of Chinese computer systems, 2012, 33(9): 1917-1923.)
[25] 戴超凡, 王涛, 张鹏程. 数据起源技术发展研究综述[J]. 计 算 机 应 用 研 究, 2010, 27(9): 3215-3221. (DAI C F, WANG T, ZHANG P C. Survey of data provenance technique[J]. Application research of computers, 2010, 27(9): 3215-3221.)
[26] 王芳, 赵洪, 马嘉悦, 等. 数据科学视角下数据溯源研究与实 践进展[J]. 中国图书馆学报, 2019, 45(5): 79-100. (WANG F, ZHAO H, MA J Y, et al. Research and practice progress of data provenance from the perspective of data science[J]. Journal of library science in China, 2019, 45(5): 79-100.)
[27] XU J, GUO S, XIE D, et al. Blockchain: a new safeguard for agrifoods[J]. Artificial intelligence in agriculture, 2020, 4: 153-161.
[28] KASSANUK T, PHASINAM K. Design of blockchain based smart agriculture framework to ensure safety and security[J]. Materials Today: proceedings, 2022, 51: 2313-2316.
[29] JAMIL F, IBRAHIM M, ULLAH I, et al. Optimal smart contract for autonomous greenhouse environment based on IOT blockchain network in agriculture[J]. Computers and electronics in agriculture, 2022, 192: 106573.
[30] CAO S, POWELL W, FOTH M, et al. Strengthening consumer trust in beef supply chain traceability with a blockchain-based human-machine reconcile mechanism[J]. Computers and electronics in agriculture, 2021, 180: 105886.
[31] 王天柱, 李凌, 彭志辰, 等. 基于区块链的可信制造供应链 溯源框架设计[J]. 计算机应用研究, 2024, 41(5): 1308-1313. (WANG T Z, LI L, PENG Z Z, et al. Design of blockchain-based trusted manufacturing supply chain traceability framework[J]. Application research of computer, 2024, 41(5): 1308-1313.)
[32] 向晓宇. 基于区块链的溯源理论研究与应用实现[D]. 广 州: 广 州 大 学, 2022. (XIANG X Y. Theoretical research and application realization of traceability based on blockchain[D]. Guangzhou: Guangzhou University, 2022.)
[33] FAROOQ M, ANSARI Z, ALVI A, et al. Blockchain based transparent and reliable framework for wheat crop supply chain[J]. PLOS one, 2024, 19(1): e0295036.
Outlines

/