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Relevant bibliographies by topics / Data traceability

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Academic literature on the topic 'Data traceability'

Author: Grafiati

Published: 8 June 2024

Last updated: 31 July 2025

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Journal articles on the topic "Data traceability"

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Hume, Samuel, Surendra Sarnikar, and Cherie Noteboom. "Enhancing Traceability in Clinical Research Data through a Metadata Framework." Methods of Information in Medicine 59, no. 02/03 (2020): 075–85. http://dx.doi.org/10.1055/s-0040-1714393.

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Abstract Background The clinical research data lifecycle, from data collection to analysis results, functions in silos that restrict traceability. Traceability is a requirement for regulated clinical research studies and an important attribute of nonregulated studies. Current clinical research software tools provide limited metadata traceability capabilities and are unable to query variables across all phases of the data lifecycle. Objectives To develop a metadata traceability framework that can help query and visualize traceability metadata, identify traceability gaps, and validate metadata t

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Gao, Hong Mei, and Yu Chuan Liu. "Conceptual Design of Mobile Data Collection System for Traceability in Agriculture." Applied Mechanics and Materials 513-517 (February 2014): 1131–34. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.1131.

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Issues for food traceability are receiving enthusiastic research interests recently. Traceability system is aimed to provide information visibility through the farming, production, packing, distribution, transportation, and sales process. The objective of this research is to develop a mobile data collection system to enhance the efficiency of e-traceability data construction. The mobile system consists of a front-end application service with cell phone and QR code labels. By scanning the QR code labels related to the farming operations, traceability data can be uploaded simultaneously to the b

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Schoetzke, Florian. "Traceability mit Data Matrix Code." ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb 100, no. 11 (2005): 641–43. http://dx.doi.org/10.3139/104.100959.

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Mendoza-Moreno, Juan Francisco, Luz Santamaria-Granados, Anabel Fraga Vázquez, and Gustavo Ramirez-Gonzalez. "OntoTouTra: Tourist Traceability Ontology Based on Big Data Analytics." Applied Sciences 11, no. 22 (2021): 11061. http://dx.doi.org/10.3390/app112211061.

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Tourist traceability is the analysis of the set of actions, procedures, and technical measures that allows us to identify and record the space–time causality of the tourist’s touring, from the beginning to the end of the chain of the tourist product. Besides, the traceability of tourists has implications for infrastructure, transport, products, marketing, the commercial viability of the industry, and the management of the destination’s social, environmental, and cultural impact. To this end, a tourist traceability system requires a knowledge base for processing elements, such as functions, obj

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Rahmaoui, Othmane, Kamal Souali, and Mohammad Ouzzif. "Improving Software Development Process using Data Traceability Management." International Journal of Recent Contributions from Engineering, Science & IT (iJES) 7, no. 1 (2019): 52. http://dx.doi.org/10.3991/ijes.v7i1.10113.

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<strong>Today traceability is a buzz word and it used in several domains like healthcare, food industry and transportation sectors. In Information Technology, traceability plays a very important role and it can be defined in various ways, depending on the environment and process under consideration. In this paper we are presenting just an idea of a new approach to improve the software development process with the traceability management in order to implement and test the method to show the benefits of using it.</strong>

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Folinas, Dimitris, Ioannis Manikas, and Basil Manos. "Traceability data management for food chains." British Food Journal 108, no. 8 (2006): 622–33. http://dx.doi.org/10.1108/00070700610682319.

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Takao, Atsushi, Nobuyoshi Yabuki, Yoshikazu Otsuka, and Takashi Hirai. "Earthwork Traceability Management System Using Compaction History and Dump Truck Sensing Data." CivilEng 6, no. 1 (2025): 11. https://doi.org/10.3390/civileng6010011.

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The productivity of the construction industry is about half that of the manufacturing industry, and the labor shortage in the construction industry is serious; therefore, improving productivity using information and communication technology (ICT) is an urgent issue. In addition, in civil engineering works, the number of projects that handle multiple types of soil and sand is increasing due to the recycling of construction waste soil; thus, traceability management is important to ensure quality. This paper presents a system that uses sensing on soil-transporting dump trucks and ICT to record wh

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Abdulkadir, Ahmad Madaki, and Mohd Nazmee Wan Zainon Wan. "A visual framework for software requirements traceability." Bulletin of Electrical Engineering and Informatics 11, no. 1 (2022): 426–34. https://doi.org/10.11591/eei.v11i1.3269.

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Requirement traceability supports several activities of software development processes such as impact analysis, requirement changes, maintenance, verification, and validation of a software system. For its effective use in those activities, the graphical representation of traceability data plays an important role. However, several traceability tools lack an excellent visual representation to present these type of data. Therefore, this paper presents a visual framework which has been designed and proposed as a prototype tool that can visualize traceability data. The framework applies data visual

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Min-Ning, Wu, Zhang-Xing Li, Zhang Yong-Heng, and Zhang Feng. "Mutton Traceability Method Based on Internet of Things." Journal of Sensors 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/506580.

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In order to improve the mutton traceability efficiency for Internet of Things and solve the problem of data transmission, analyzed existing tracking algorithm, proposed the food traceability application model, Petri network model of food traceability and food traceability of time series data of improved K-means algorithm based on the Internet of things. The food traceability application model to convert, integrate and mine the heterogeneous information, implementation of the food safety traceability information management, Petri network model for food traceability in the process of the state t

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Ju, Chunhua, Zhonghua Shen, Fuguang Bao, et al. "Blockchain Traceability System in Complex Application Scenarios: Image-Based Interactive Traceability Structure." Systems 10, no. 3 (2022): 78. http://dx.doi.org/10.3390/systems10030078.

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To solve the problems exposed by the application of blockchain technology under complex scenarios, such as fraudulent use of data, hard to store huge amounts of data, and low traceability efficiency under an ultra-huge number of traceability requests, this paper constructs an image-based interactive traceability structure by using images as an enhancement. By adding pointers to raw image files, a specific file structure is formed for traceability, and the traceability process is separated from the verification process, therefore realizing the distributed traceability of “traceability off the c

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Dissertations / Theses on the topic "Data traceability"

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Maté, Alejandro. "Data Warehouses: Traceability and Alignment with Corporate Strategies." Doctoral thesis, Universidad de Alicante, 2013. http://hdl.handle.net/10045/36383.

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Gemesi, Hafize Gunsu. "Food traceability information modeling and data exchange and GIS based farm traceability model design and application." [Ames, Iowa : Iowa State University], 2010. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1476294.

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Pritchard, Jeffrey W. "The Advanced Traceability and Control system performance data analysis." Thesis, Monterey, California. Naval Postgraduate School, 1992. http://hdl.handle.net/10945/23520.

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Ali, Mufajjul. "Provenance-based data traceability model and policy enforcement framework for cloud services." Thesis, University of Southampton, 2016. https://eprints.soton.ac.uk/393423/.

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In the context of software, provenance holds the key to retaining a reproduceable instance of the duration of a service, which can be replayed/reproduced from the beginning. This entails the nature of invocations that took place, how/where the data were created, modified, updated and the user's engagement with the service. With the emergence of the cloud and the benefits it encompasses, there has been a rapid proliferation of services being developed and adopted by commercial businesses. However, these services expose very little internal workings to their customers, and insufficient means to

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Rush, David, F. W. (Bill) Hafner, and Patsy Humphrey. "DEVELOPMENT OF A REQUIREMENTS REPOSITORY FOR THE ADVANCED DATA ACQUISITION AND PROCESSING SYSTEM (ADAPS)." International Foundation for Telemetering, 1999. http://hdl.handle.net/10150/607313.

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International Telemetering Conference Proceedings / October 25-28, 1999 / Riviera Hotel and Convention Center, Las Vegas, Nevada<br>Standards lead to the creation of requirements listings and test verification matrices allow developer and acquirer to assure themselves and each other that the requested system is actually what is being constructed. Further, in the intricacy of the software test description, traceability of test process to the requirement under test is mandated so the acceptance test process can be accomplished in an efficient manner. In the view of the logistician, the main

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Seibel, Andreas. "Traceability and model management with executable and dynamic hierarchical megamodels." Phd thesis, Universität Potsdam, 2012. http://opus.kobv.de/ubp/volltexte/2013/6422/.

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Nowadays, model-driven engineering (MDE) promises to ease software development by decreasing the inherent complexity of classical software development. In order to deliver on this promise, MDE increases the level of abstraction and automation, through a consideration of domain-specific models (DSMs) and model operations (e.g. model transformations or code generations). DSMs conform to domain-specific modeling languages (DSMLs), which increase the level of abstraction, and model operations are first-class entities of software development because they increase the level of automation. Neverthele

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Dobreva, Veneta Mateeva [Verfasser], Alfons [Akademischer Betreuer] Kemper, and Torsten [Akademischer Betreuer] Grust. "Efficient Management of RFID Traceability Data / Veneta Mateeva Dobreva. Gutachter: Alfons Kemper ; Torsten Grust. Betreuer: Alfons Kemper." München : Universitätsbibliothek der TU München, 2013. http://d-nb.info/1043317163/34.

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Dobreva, Veneta M. [Verfasser], Alfons [Akademischer Betreuer] Kemper, and Torsten [Akademischer Betreuer] Grust. "Efficient Management of RFID Traceability Data / Veneta Mateeva Dobreva. Gutachter: Alfons Kemper ; Torsten Grust. Betreuer: Alfons Kemper." München : Universitätsbibliothek der TU München, 2013. http://nbn-resolving.de/urn:nbn:de:bvb:91-diss-20130919-1137517-0-1.

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Danko, Charlott. "Traceability of Medical Devices Used During Surgeries : A Study of the Current Traceability System at the Karolinska University Hospital in Solna and Research of Improvement." Thesis, KTH, Medicinteknik och hälsosystem, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279135.

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The last few decades' development of technology has greatly affected healthcare. The implementation of technology in healthcare has advanced and improved it immensely, but it has also brought a new level of complexity. One of the modern issues introduced to healthcare is the traceability of medical devices. The main reason why traceability is becoming a more important matter in regards to healthcare is because of patient safety. Patient safety is one of the greatest priorities in healthcare but is constantly challenged by new innovations. Enabling traceability of medical devices is a part of t

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Pister, Alexis. "Visual Analytics for Historical Social Networks : Traceability, Exploration, and Analysis." Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPASG081.

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Cette thèse vise à identifier théoriquement et concrètement comment l'analyse visuelle peut aider les historiens dans leur processus d'analyse de réseaux sociaux. L'analyse de réseaux sociaux est une méthode utilisée en histoire sociale qui vise à étudier les relations sociales au sein de groupes d'acteurs (familles, institutions, entreprises, etc.) en reconstruisant les relations du passé à partir de documents historiques, tels que des actes de mariages, des actes de naissances, ou des recensements. L'utilisation de méthodes visuelles et analytiques leurs permet d'explorer la structure social

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Books on the topic "Data traceability"

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Pritchard, Jeffrey W. The Advanced Traceability and Control system performance data analysis. Naval Postgraduate School, 1992.

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Book chapters on the topic "Data traceability"

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Avoine, Gildas, and Philippe Oechslin. "RFID Traceability: A Multilayer Problem." In Financial Cryptography and Data Security. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11507840_14.

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Sun, Xueqing, Xiao Li, and Fengyin Li. "An Agricultural Traceability Permissioned Blockchain with Privacy-Aware." In Data Mining and Big Data. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-7476-1_20.

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Zaghdoudi, Bilel, Christine Hennebert, and Maria Potop-Butucaru. "Secure Data Traceability for Mobile Data Collectors." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-87499-4_8.

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Mao, Bo, Jing He, Jie Cao, Stephen Bigger, and Todor Vasiljevic. "3D Model-Based Food Traceability Information Extraction Framework." In Data Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24474-7_16.

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Azuara, Guillermo, José L. Salazar, José L. Tornos, and Joan J. Piles. "Reliable Food Traceability Using RFID Tagging." In Financial Cryptography and Data Security. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14992-4_6.

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Chothia, Tom, and Vitaliy Smirnov. "A Traceability Attack against e-Passports." In Financial Cryptography and Data Security. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14577-3_5.

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Wylie, Alison. "Radiocarbon Dating in Archaeology: Triangulation and Traceability." In Data Journeys in the Sciences. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37177-7_15.

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Macchion, Laura, Andrea Furlan, and Andrea Vinelli. "The Implementation of Traceability in Fashion Networks." In Collaboration in a Data-Rich World. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65151-4_8.

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Huber, Ludwig. "Data Validation, Audit Trail, Security and Traceability." In Validation of Computerized Analytical Systems. CRC Press, 2023. http://dx.doi.org/10.1201/9781003419297-14.

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Yu, Zuoxia, Man Ho Au, Jiangshan Yu, Rupeng Yang, Qiuliang Xu, and Wang Fat Lau. "New Empirical Traceability Analysis of CryptoNote-Style Blockchains." In Financial Cryptography and Data Security. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32101-7_9.

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Conference papers on the topic "Data traceability"

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Mu, Li. "Design of Digital Agricultural Product Traceability and Quality Traceability System Supported By Big Data Analysis." In 2024 IEEE 16th International Conference on Computational Intelligence and Communication Networks (CICN). IEEE, 2024. https://doi.org/10.1109/cicn63059.2024.10847559.

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Lin, Wei, Yi Sun, Youhe Wang, and Chuanqi Zhou. "On-chain anonymized traceability scheme based on outsourced data." In 4th International Conference on Electronic Information Engineering and Data Processing (EIEDP 2025), edited by Azlan Bin Mohd Zain and Lei Chen. SPIE, 2025. https://doi.org/10.1117/12.3067456.

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Chaoui, Kenza, Nadia Kabachi, Nouria Harbi, and Hassan Badir. "Enhancing Data Security Through Comprehensive Traceability: A Labeling Approach." In 2024 IEEE/ACS 21st International Conference on Computer Systems and Applications (AICCSA). IEEE, 2024. https://doi.org/10.1109/aiccsa63423.2024.10912626.

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Pothuraju, Yaswanth, Venkata Yajnesh Pisupati, and Ms Velvizhi R. "Reliable Heart Disease Models: Enhancing Data Integrity and Traceability." In 2025 8th International Conference on Trends in Electronics and Informatics (ICOEI). IEEE, 2025. https://doi.org/10.1109/icoei65986.2025.11013760.

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Maqousi, Ali Al, Enrique Arias, and Jose Antonio Mateo. "Blockchain for Data Traceability: Ensuring Integrity in Digital Ecosystems." In 2025 1st International Conference on Computational Intelligence Approaches and Applications (ICCIAA). IEEE, 2025. https://doi.org/10.1109/icciaa65327.2025.11013507.

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Chen, Gan-Hong, Yong Liu, and Jingxian Yang. "Food Safety Traceability Technology and Application Based on Blockchain." In 2024 International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC). IEEE, 2024. https://doi.org/10.1109/iiotbdsc64371.2024.00087.

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Wang, Lianhai, Xinlei Wang, Tianrui Liu, Yingxiaochun Wang, and Qi Li. "Infringement Detection and Traceability Scheme Based on Ciphertext Feature Extraction." In 2024 IEEE 9th International Conference on Data Science in Cyberspace (DSC). IEEE, 2024. https://doi.org/10.1109/dsc63484.2024.00090.

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Jia, Wei, and Siyuan Wang. "Research on Robot Assembly Traceability System based on Fabric." In 2024 IEEE 4th International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA). IEEE, 2024. https://doi.org/10.1109/iciba62489.2024.10868370.

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Shen, Shiwen S., Zhen Z. Guo, Tianling T. Liu, and Shihao S. Xue. "A Blockchain-based Traceability Method for Automotive Parts in Supply Chain." In 2024 7th International Conference on Data Science and Information Technology (DSIT). IEEE, 2024. https://doi.org/10.1109/dsit61374.2024.10881476.

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Karuna, Gudapalli, G. B. Santhi, Mohammed Al-Farouni, G. Vinoda Reddy, Aasheesh Shukla, and Chintamani Prasad Patnaik. "Enhancing Financial Data Traceability Using Graph Neural Networks for Provenance Methods." In 2024 International Conference on IoT, Communication and Automation Technology (ICICAT). IEEE, 2024. https://doi.org/10.1109/icicat62666.2024.10923449.

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Reports on the topic "Data traceability"

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Gonzalez, Daniel, Samuel Flores, and Andrea Gardeazabel Monsalue. Enabling farming data traceability in Mexico. International Food Policy Research Institute, 2022. http://dx.doi.org/10.2499/p15738coll2.136559.

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Hedberg, Jr, Thomas, Moneer Helu, Sylvere Krima, and Allison Barnard Feeney. Recommendations on ensuring traceability and trustworthiness of manufacturing-related data. National Institute of Standards and Technology, 2020. http://dx.doi.org/10.6028/nist.ams.300-10.

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Lofstead, Gerald Fredrick, Andrew J. Younge, and Joshua Baker. End-to-end Provenance Traceability and Reproducibility Through "Palletized'' Simulation Data. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1481638.

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Lofstead, Gerald Fredrick, Andrew J. Younge, and Joshua Baker. End-to-end Provenance Traceability and Reproducibility Through "Palletized'' Simulation Data. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1531316.

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Cao, Shoufeng, Uwe Dulleck, Warwick Powell, Charles Turner-Morris, Valeri Natanelov, and Marcus Foth. BeefLedger blockchain-credentialed beef exports to China: Early consumer insights. Queensland University of Technology, 2020. http://dx.doi.org/10.5204/rep.eprints.200267.

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The BeefLedger Export Smart Contracts project is a collaborative research study between BeefLedger Ltd and QUT co-funded by the Food Agility CRC. This project exists to deliver economic value to those involved in the production, export and consumption of Australian beef to China through: (1) reduced information asymmetry; (2) streamlined compliance processes, and; (3) developing and accessing new data-driven value drivers, through the deployment of decentralised ledger technologies and associated governance systems. This report presents early insights from a survey deployed to Chinese consumer

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Farag, Alicia. PO751-224506-Z01 Specification for Smart Tags and Unique IDs for Steel Pipe. Pipeline Research Council International, Inc. (PRCI), 2024. http://dx.doi.org/10.55274/r0000067.

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The Resource Center for the steel material traceability program has successfully launched and is available at energytraceability.com. This initial release has the following: � Specification for Smart Tags and Unique IDs for Steel Pipe (Version 1.0 included in attached zipped file) � Unique ID Data Model and Generator (included in attached zipped file) � Template Purchasing Language � Template Letter to Suppliers We're branding this as SCATE (Supply Chain and Asset Traceability for Energy) so that we can have a single place to publish information for various related programs including natural g

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Maffioli, Alessandro, and Conner Mullally. The Impact of Agricultural Extension for Improved Management Practices: An Evaluation of the Uruguayan Livestock Program. Inter-American Development Bank, 2014. http://dx.doi.org/10.18235/0011533.

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Management is an important input into agricultural production, as it a determinant of the uptake and proper implementation of productive technologies and practices. While there is a large literature on evaluations of extension programs meant to improve management practices in agricultural development, there is no consensus on the extension modalities that are most effective. This paper adds to the literature on extension interventions by evaluating the Uruguayan Livestock Program (ULP), a publicly funded, privately delivered extension program designed to improve management practices among catt

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Grimley. PR-015-07605-R01 Lower-Cost Liquid Meter Prover Calibration Method. Pipeline Research Council International, Inc. (PRCI), 2009. http://dx.doi.org/10.55274/r0010979.

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To maintain measurement accuracy, stationary volume provers must be re-proved periodically. The most direct method of determining a provers volume is through a process known as water drawing where water is circulated through the prover and swept into certified measurement volumes. Since the can volumes can be directly calibrated by national metrology agencies, the traceability chain is short. However, proving with water requires that the prover be first cleaned of any hydrocarbon product that may alter the working volume of the prover and create waste products that must be handled properly. Th

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Ampatzidis, Yiannis, Mahendra Bhandari, Andres Ferreyra, et al. AI in Agriculture: Opportunities, Challenges, and Recommendations. Chair Alex Thomasson. Council for Agricultural Science and Technology, 2025. https://doi.org/10.62300/iaag042514.

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Artificial Intelligence (AI) is rapidly being integrated into people’s lives, reshaping industries, and enabling previously unimagined innovation, even in agriculture. Generative AI focuses on creating content like text and pictures based on vast quantities of data. ExtensionBot is a generative AI platform that supports agricultural extension by providing farmers with accurate scientific information and specific recommendations. It has been shown to deliver more accurate responses to agricultural questions than broader generative AI models. Other forms of AI have been used to analyze data to p

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