Relevant bibliographies by topics / Data traceability

Academic literature on the topic 'Data traceability'

Author: Grafiati
Published: 8 June 2024

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Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

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 (May 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 traceability to improve data lineage and reproducibility within clinical research studies. Methods This research follows the design science research paradigm where the objective is to create and evaluate an information technology (IT) artifact that explicitly addresses an organizational problem or opportunity. The implementation and evaluation of the IT artifact demonstrate the feasibility of both the design process and the final designed product. Results We present Trace-XML, a metadata traceability framework that extends standard clinical research metadata models and adapts graph traversal algorithms to provide clinical research study traceability queries, validation, and visualization. Trace-XML was evaluated using analytical and qualitative methods. The analytical methods show that Trace-XML accurately and completely assesses metadata traceability within a clinical research study. A qualitative study used thematic analysis of interview data to show that Trace-XML adds utility to a researcher's ability to evaluate metadata traceability within a study. Conclusion Trace-XML benefits include features that (1) identify traceability gaps in clinical study metadata, (2) validate metadata traceability within a clinical study, and (3) query and visualize traceability metadata. The key themes that emerged from the qualitative evaluation affirm that Trace-XML adds utility to the task of creating and assessing end-to-end clinical research study traceability.
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Schoetzke, Florian. "Traceability mit Data Matrix Code." ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb 100, no. 11 (November 28, 2005): 641–43. http://dx.doi.org/10.3139/104.100959.

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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 back-end web server. The miscellaneous traceability data construction can be simply replaced by scanning QR code labels. Applications of this mobile system can significantly reduce the complexity of traceability in agriculture.
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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 (November 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, objects, events, and logical connectors among them. A knowledge base provides us with information on the preparation, planning, and implementation or operation stages. In this regard, unifying tourism terminology in a traceability system is a challenge because we need a central repository that promotes standards for tourists and suppliers in forming a formal body of knowledge representation. Some studies are related to the construction of ontologies in tourism, but none focus on tourist traceability systems. For the above, we propose OntoTouTra, an ontology that uses formal specifications to represent knowledge of tourist traceability systems. This paper outlines the development of the OntoTouTra ontology and how we gathered and processed data from ubiquitous computing using Big Data analysis techniques.
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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 (March 22, 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 (August 2006): 622–33. http://dx.doi.org/10.1108/00070700610682319.

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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 transition were analyzed and simulated and provides a theoretical basis to study the behavior described in the food traceability system and structural design. The experiments on simulation data show that the proposed traceability method based on Internet of Things is more effective for mutton traceability data than the traditional K-means methods.
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Ju, Chunhua, Zhonghua Shen, Fuguang Bao, Zhikai Wen, Xi Ran, Chaoyang Yu, and Chonghuan Xu. "Blockchain Traceability System in Complex Application Scenarios: Image-Based Interactive Traceability Structure." Systems 10, no. 3 (June 8, 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 chain and verification on the chain”. The experimental results show that, compared with the traditional blockchain traceability mode, the interactive traceability structure can reduce the data retrieval pressure and greatly improve the traceability efficiency of a specific transaction chain. With the growth of the span of the transaction chain, the traceability efficiency advantage of the interactive traceability structure becomes more obvious.
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Zhu, Chenxiao, Runjia Chen, and Yibing Zhu. "Research on Drug Traceability System Based on Blockchain Technology." Applied and Computational Engineering 8, no. 1 (August 1, 2023): 320–28. http://dx.doi.org/10.54254/2755-2721/8/20230174.

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Because of the frequent occurrence of drug safety incidents in recent years, drug safety cannot be effectively guaranteed. The purpose of this study is to establish a blockchain-based drug traceability system and strengthen the construction of a drug information technology traceability system. Because the traditional drug traceability system depends on a certain center, there are many traceability participants, and the information is difficult to integrate, resulting in incomplete and unreliable traceability information. The use of blockchain technology can achieve data tamper-proof and decentralization so that each drug can be tracked through the unique identifier on the blockchain to ensure the integrity and authenticity of the data. Finally, "one thing, one code, one traceability code" will be realized, to strengthen the sharing of traceability information, realize the traceability of the whole variety and process, and improve drug safety. The drug traceability system consists of the data collection system, product traceability identification system, data statistical analysis system, and other subsystems. The platform uses distributed ledgers, blockchain, data technology, smart contracts, data mining and analysis, and other technologies to achieve multiple functional requirements such as anti-counterfeiting traceability of enterprise products, process tracking, data statistics, and so on.
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Ahmed, Mohamed, Chantal Taconet, Mohamed Ould, Sophie Chabridon, and Amel Bouzeghoub. "IoT Data Qualification for a Logistic Chain Traceability Smart Contract." Sensors 21, no. 6 (March 23, 2021): 2239. http://dx.doi.org/10.3390/s21062239.

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In the logistic chain domain, the traceability of shipments in their entire delivery process from the shipper to the consignee involves many stakeholders. From the traceability data, contractual decisions may be taken such as incident detection, validation of the delivery or billing. The stakeholders require transparency in the whole process. The combination of the Internet of Things (IoT) and the blockchain paradigms helps in the development of automated and trusted systems. In this context, ensuring the quality of the IoT data is an absolute requirement for the adoption of those technologies. In this article, we propose an approach to assess the data quality (DQ) of IoT data sources using a logistic traceability smart contract developed on top of a blockchain. We select the quality dimensions relevant to our context, namely accuracy, completeness, consistency and currentness, with a proposition of their corresponding measurement methods. We also propose a data quality model specific to the logistic chain domain and a distributed traceability architecture. The evaluation of the proposal shows the capacity of the proposed method to assess the IoT data quality and ensure the user agreement on the data qualification rules. The proposed solution opens new opportunities in the development of automated logistic traceability systems.
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Journal articles Dissertations / Theses

Dissertations / Theses on the topic "Data traceability":

1

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 check for the right working order. This can cause transparency and compliance issues, especially in the event of a fault or violation, customers and providers are left to point finger at each other. Provenance-based traceability provides a means to address a part of this problem by being able to capture and query events that have occurred in the past to understand how and why it took place. On top of that, provenance-based policies are required to facilitate the validation and enforcement of business level requirements for end-users satisfaction. This dissertation makes four contributions to the state of the art: i) By defining and implementing an enhanced provenance-based cloud traceability model (cProv), that extends the standardized Prov model to support characteristics related to cloud services. The model is then able to conceptualize the traceability of a running cloud service. ii) By the creation of a provenance-based policy language (cProvl) in order to facilitate the declaration and enforcement of the business level requirements. iii) By developing a traceability framework, that provides client and server-side stacks for integrating service-level traceability and policy-based enforcement of business rules. iv) Finally by the implementation and evaluation of the framework, that leverages on the standardized industry solutions. The framework is then applied to the commercial service: `ConfidenShare' as a proof of concept.
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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
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 maintainability of the software and the repair of fond faults is primary, while these statistics can be gathered by the producer to ultimately enhance the Capability Maturity Module (CMM) rating of the vendor.
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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. Nevertheless, MDE has to deal with at least two new dimensions of complexity, which are basically caused by the increased linguistic and technological heterogeneity. The first dimension of complexity is setting up an MDE environment, an activity comprised of the implementation or selection of DSMLs and model operations. Setting up an MDE environment is both time-consuming and error-prone because of the implementation or adaptation of model operations. The second dimension of complexity is concerned with applying MDE for actual software development. Applying MDE is challenging because a collection of DSMs, which conform to potentially heterogeneous DSMLs, are required to completely specify a complex software system. A single DSML can only be used to describe a specific aspect of a software system at a certain level of abstraction and from a certain perspective. Additionally, DSMs are usually not independent but instead have inherent interdependencies, reflecting (partial) similar aspects of a software system at different levels of abstraction or from different perspectives. A subset of these dependencies are applications of various model operations, which are necessary to keep the degree of automation high. This becomes even worse when addressing the first dimension of complexity. Due to continuous changes, all kinds of dependencies, including the applications of model operations, must also be managed continuously. This comprises maintaining the existence of these dependencies and the appropriate (re-)application of model operations. The contribution of this thesis is an approach that combines traceability and model management to address the aforementioned challenges of configuring and applying MDE for software development. The approach is considered as a traceability approach because it supports capturing and automatically maintaining dependencies between DSMs. The approach is considered as a model management approach because it supports managing the automated (re-)application of heterogeneous model operations. In addition, the approach is considered as a comprehensive model management. Since the decomposition of model operations is encouraged to alleviate the first dimension of complexity, the subsequent composition of model operations is required to counteract their fragmentation. A significant portion of this thesis concerns itself with providing a method for the specification of decoupled yet still highly cohesive complex compositions of heterogeneous model operations. The approach supports two different kinds of compositions - data-flow compositions and context compositions. Data-flow composition is used to define a network of heterogeneous model operations coupled by sharing input and output DSMs alone. Context composition is related to a concept used in declarative model transformation approaches to compose individual model transformation rules (units) at any level of detail. In this thesis, context composition provides the ability to use a collection of dependencies as context for the composition of other dependencies, including model operations. In addition, the actual implementation of model operations, which are going to be composed, do not need to implement any composition concerns. The approach is realized by means of a formalism called an executable and dynamic hierarchical megamodel, based on the original idea of megamodels. This formalism supports specifying compositions of dependencies (traceability and model operations). On top of this formalism, traceability is realized by means of a localization concept, and model management by means of an execution concept.
Die modellgetriebene Softwareentwicklung (MDE) verspricht heutzutage, durch das Verringern der inhärenten Komplexität der klassischen Softwareentwicklung, das Entwickeln von Software zu vereinfachen. Um dies zu erreichen, erhöht MDE das Abstraktions- und Automationsniveau durch die Einbindung domänenspezifischer Modelle (DSMs) und Modelloperationen (z.B. Modelltransformationen oder Codegenerierungen). DSMs sind konform zu domänenspezifischen Modellierungssprachen (DSMLs), die dazu dienen das Abstraktionsniveau der Softwareentwicklung zu erhöhen. Modelloperationen sind essentiell für die Softwareentwicklung da diese den Grad der Automatisierung erhöhen. Dennoch muss MDE mit Komplexitätsdimensionen umgehen die sich grundsätzlich aus der erhöhten sprachlichen und technologischen Heterogenität ergeben. Die erste Komplexitätsdimension ist das Konfigurieren einer Umgebung für MDE. Diese Aktivität setzt sich aus der Implementierung und Selektion von DSMLs sowie Modelloperationen zusammen. Eine solche Aktivität ist gerade durch die Implementierung und Anpassung von Modelloperationen zeitintensiv sowie fehleranfällig. Die zweite Komplexitätsdimension hängt mit der Anwendung von MDE für die eigentliche Softwareentwicklung zusammen. Das Anwenden von MDE ist eine Herausforderung weil eine Menge von heterogenen DSMs, die unterschiedlichen DSMLs unterliegen, erforderlich sind um ein komplexes Softwaresystem zu spezifizieren. Individuelle DSMLs werden verwendet um spezifische Aspekte eines Softwaresystems auf bestimmten Abstraktionsniveaus und aus bestimmten Perspektiven zu beschreiben. Hinzu kommt, dass DSMs sowie DSMLs grundsätzlich nicht unabhängig sind, sondern inhärente Abhängigkeiten besitzen. Diese Abhängigkeiten reflektieren äquivalente Aspekte eines Softwaresystems. Eine Teilmenge dieser Abhängigkeiten reflektieren Anwendungen diverser Modelloperationen, die notwendig sind um den Grad der Automatisierung hoch zu halten. Dies wird erschwert wenn man die erste Komplexitätsdimension hinzuzieht. Aufgrund kontinuierlicher Änderungen der DSMs, müssen alle Arten von Abhängigkeiten, inklusive die Anwendung von Modelloperationen, kontinuierlich verwaltet werden. Dies beinhaltet die Wartung dieser Abhängigkeiten und das sachgerechte (wiederholte) Anwenden von Modelloperationen. Der Beitrag dieser Arbeit ist ein Ansatz, der die Bereiche Traceability und Model Management vereint. Das Erfassen und die automatische Verwaltung von Abhängigkeiten zwischen DSMs unterstützt Traceability, während das (automatische) wiederholte Anwenden von heterogenen Modelloperationen Model Management ermöglicht. Dadurch werden die zuvor erwähnten Herausforderungen der Konfiguration und Anwendung von MDE überwunden. Die negativen Auswirkungen der ersten Komplexitätsdimension können gelindert werden indem Modelloperationen in atomare Einheiten zerlegt werden. Um der implizierten Fragmentierung entgegenzuwirken, erfordert dies allerdings eine nachfolgende Komposition der Modelloperationen. Der Ansatz wird als erweitertes Model Management betrachtet, da ein signifikanter Anteil dieser Arbeit die Kompositionen von heterogenen Modelloperationen behandelt. Unterstützt werden zwei unterschiedliche Arten von Kompositionen. Datenfluss-Kompositionen werden verwendet, um Netzwerke von heterogenen Modelloperationen zu beschreiben, die nur durch das Teilen von Ein- und Ausgabe DSMs komponiert werden. Kontext-Kompositionen bedienen sich eines Konzepts, das von deklarativen Modelltransformationen bekannt ist. Dies ermöglicht die Komposition von unabhängigen Transformationsregeln auf unterschiedlichsten Detailebenen. Die in dieser Arbeit eingeführten Kontext-Kompositionen bieten die Möglichkeit eine Menge von unterschiedlichsten Abhängigkeiten als Kontext für eine Komposition zu verwenden -- unabhängig davon ob diese Abhängigkeit eine Modelloperation repräsentiert. Zusätzlich müssen die Modelloperationen, die komponiert werden, selber keine Kompositionsaspekte implementieren, was deren Wiederverwendbarkeit erhöht. Realisiert wird dieser Ansatz durch einen Formalismus der Executable and Dynamic Hierarchical Megamodel genannt wird und auf der originalen Idee der Megamodelle basiert. Auf Basis dieses Formalismus' sind die Konzepte Traceability (hier Localization) und Model Management (hier Execution) umgesetzt.
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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 the process of ensuring patient safety. The aim of this master thesis project was to research how medical devices used in surgeries are traced and how the routine can be improved. The idea of this thesis was based on the application of two new regulations, Regulation (EU) 745/2017 and Regulation (EU) 746/2017, both with the purpose of improving traceability. Qualitative methods such as observations, surveys, and interviews were used for this project. To gain multiple perspectives on the issue, different target groups were defined for the collection of data. The qualitative data was then analysed and conclusions based on the data could be drawn. The results of this project showed that the current traceability routine is lacking and that there is a lot of potential for improvements. The computer systems that manages information regarding medical devices can enable proper traceability if combined with other systems. Improvements of features in the systems are suggested, as well as an idea of an integrated system that combines functionalities of other software. Some of the project's challenges are discussed and suggestions for how to further develop the research are presented.
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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 sociale formant ces groupes et de relier des mesures structurelles à des hypothèses sociologiques et des comportements individuels. Cependant, l'inspection, l'encodage et la modélisation des sources menant à un réseau finalisé donnent souvent lieu à des erreurs, des distorsions et des problèmes de traçabilité, et les systèmes de visualisation actuels présentent souvent des défauts d'utilisabilité et d'interprétabilité. En conséquence, les historiens ne sont pas toujours en mesure de faire des conclusions approfondies à partir de ces systèmes : beaucoup d'études se limitent à une description qualitative d'images de réseaux, surlignant la présence de motifs d'intérêts (cliques, îlots, ponts, etc.). Le but de cette thèse est donc de proposer des outils d'analyse visuelle adaptés aux historiens afin de leur permettre une meilleur intégration de leur processus global et des capacités d'analyse guidées. En collaboration avec des historiens, je formalise le processus d'une analyse de réseau historique, de l'acquisition des sources jusqu'à l'analyse finale, en posant comme critère que les outils utilisés dans ce processus devraient satisfaire des principes de traçabilité, de simplicité et de réalité documentaire (i.e., que les données présentées doivent être conformes aux sources) pour faciliter les va-et-vient entre les différentes étapes et la prise en main par l'utilisateur et ne pas distordre le contenu des sources. Pour satisfaire ces propriétés, je propose de modéliser les sources historiques en réseaux sociaux bipartis multivariés dynamiques avec rôles. Ce modèle intègre explicitement les documents historiques sous forme de nœuds, ce qui permet aux utilisateurs d'encoder, de corriger et d'analyser leurs données avec les mêmes outils. Je propose ensuite deux interfaces d'analyse visuelle permettant, avec une bonne utilisabilité et interprétabilité, de manipuler, d'explorer et d'analyser ce modèle de données. Le premier système ComBiNet offre une exploration visuelle de l'ensemble des dimensions du réseau à l'aide de vues coordonnées et d'un système de requêtes visuelles permettant d'isoler des individus ou des groupes et de comparer leurs structures topologiques et leurs propriétés. L'outil permet également de détecter les motifs inhabituels et ainsi de déceler les éventuelles erreurs dans les annotations. Le second système, PK-Clustering, est une proposition d'amélioration de l'utilisabilité et de l'efficacité des mécanismes de clustering dans les systèmes de visualisation de réseaux sociaux. L'interface permet de créer des regroupements pertinents à partir des connaissances a priori de l'utilisateur, du consensus algorithmique et de l'exploration du réseau dans un cadre d'initiative mixte. Les deux systèmes ont été conçus à partir des besoins et retours continus d'historiens, et visent à augmenter la traçabilité, la simplicité, et la réalité documentaire des sources dans le processus d'analyse de réseaux historiques. Je conclus sur la nécessité d'une meilleure intégration des systèmes d'analyse visuelle dans le processus de recherche des historiens. Cette intégration nécessite des outils plaçant les utilisateurs au centre du processus avec un accent sur la flexibilité et l'utilisabilité, limitant ainsi l'introduction de biais et les barrières d'utilisation des méthodes quantitatives, qui subsistent en histoire
This thesis aims at identifying theoretically and concretely how visual analytics can support historians in their social network analysis process. Historical social network analysis is a method to study social relationships between groups of actors (families, institutions, companies, etc.) through a reconstruction of relationships of the past from historical documents, such as marriage acts, migration forms, birth certificates, and censuses. The use of visualization and analytical methods lets social historians explore and describe the social structure shaping those groups while explaining sociological phenomena and individual behaviors through computed network measures. However, the inspection and encoding of the sources leading to a finalized network is intricate and often results in inconsistencies, errors, distortions, and traceability problems, and current visualization tools typically have usability and interpretability issues. For these reasons, social historians are not always able to make thorough historical conclusions: many studies consist of qualitative descriptions of network drawings highlighting the presence of motifs such as cliques, components, bridges, etc. The goal of this thesis is therefore to propose visual analytics tools integrated into the global social historians' workflow, with guided and easy-to-use analysis capabilities. From collaborations with historians, I formalize the workflow of historical network analysis starting at the acquisition of sources to the final visual analysis. By highlighting recurring pitfalls, I point out that tools supporting this process should satisfy traceability, simplicity, and document reality principles to ease bask and forth between the different steps, provide tools easy to manipulate, and not distort the content of sources with modifications and simplifications. To satisfy those properties, I propose to model historical sources into bipartite multivariate dynamic social networks with roles as they provide a good tradeoff of simplicity and expressiveness while modeling explicitly the documents, hence letting users encode, correct, and analyze their data with the same abstraction and tools. I then propose two interactive visual interfaces to manipulate, explore, and analyze this data model, with a focus on usability and interpretability. The first system ComBiNet allows an interactive exploration leveraging the structure, time, localization, and attributes of the data model with the help of coordinated views and a visual query system allowing users to isolate interesting groups and individuals, and compare their position, structures, and properties. It also lets them highlight erroneous and inconsistent annotations directly in the interface. The second system, PK-Clustering, is a concrete proposition to enhance the usability and effectiveness of clustering mechanisms in social network visual analytics systems. It consists in a mixed-initiative clustering interface that let social scientists create meaningful clusters with the help of their prior knowledge, algorithmic consensus, and interactive exploration of the network. Both systems have been designed with continuous feedback from social historians, and aim to increase the traceability, simplicity, and document reality of visual analytics supported historical social network research. I conclude with discussions on the potential merging of both tools, and more globally on research directions towards better integration of visual analytics systems on the whole workflow of social historians. Systems with a focus on those properties---traceability, simplicity, and document reality---can limit the introduction of bias while lowering the requirements for the use of quantitative methods for historians and social scientists which has always been a controversial discussion among practitioners
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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. Monterey, Calif: 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, 125–40. Berlin, Heidelberg: 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, 218–29. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-7476-1_20.

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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, 112–19. Cham: 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, 57–67. Berlin, Heidelberg: 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, 20–34. Berlin, Heidelberg: 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, 285–301. Cham: 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, 86–96. Cham: 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, 151–69. Boca Raton: 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, 133–49. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32101-7_9.

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Chen, Biwen, Zhongming Wang, Tao Xiang, Lei Yang, Hongyang Yan, and Jin Li. "ABAC: Anonymous Bilateral Access Control Protocol with Traceability for Fog-Assisted Mobile Crowdsensing." In Data Mining and Big Data, 430–44. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-7502-7_40.

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Conference papers on the topic "Data traceability":

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Robson, Christine, Yuji Watanabe, and Masayuki Numao. "Parts Traceability for Manufacturers." In 2007 IEEE 23rd International Conference on Data Engineering. IEEE, 2007. http://dx.doi.org/10.1109/icde.2007.368980.

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Qu, Yi, Haitao Wu, and Ting Liu. "GNSS Data Provenance Traceability Research." In 30th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2017). Institute of Navigation, 2017. http://dx.doi.org/10.33012/2017.15318.

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Mishra, Neetesh, Ruchi Bhardwaj, and Rajiv Kumar. "Data traceability in cloud environment." In 2015 International Conference on Computing, Communication & Automation (ICCCA). IEEE, 2015. http://dx.doi.org/10.1109/ccaa.2015.7148459.

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Qu, Yi, Haitao Wu, Ting Liu, and Yue Zhao. "Space Mission Data Provenance Traceability." In 15th International Conference on Space Operations. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2018. http://dx.doi.org/10.2514/6.2018-2482.

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Grammel, Birgit, and Stefan Kastenholz. "A generic traceability framework for facet-based traceability data extraction in model-driven software development." In the 6th ECMFA Traceability Workshop. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1814392.1814394.

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McClatchey, Richard, Andrew Branson, Jetendr Shamdasani, Coralie Blanc, Patrick Emin, and Pierre Bornand. "Designing Traceability into Big Data Systems." In Annual International Conference on ICT: Big Data, Cloud and Security (ICT-BDCS 2015). Global Science and Technology Forum (GSTF), 2015. http://dx.doi.org/10.5176/2382-5669_ict-bdcs15.07.

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Zhuji, Xining, Jiehua Wang, Weiping Ding, and Weixiang Wu. "Blockchain-Based System for Vaccine Traceability." In 2023 IEEE International Conference on Data Mining Workshops (ICDMW). IEEE, 2023. http://dx.doi.org/10.1109/icdmw60847.2023.00097.

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Taniguchi, Y., and N. Sagawa. "IC tag based traceability: system and solutions." In Proceedings. 21st International Conference on Data Engineering. IEEE, 2005. http://dx.doi.org/10.1109/icde.2005.74.

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Hao, Jiakai, Ming Jin, Yuting Li, Tiangao Piao, Haiyang Hu, Xinyun Xi, and Jiewei Chen. "Power Data Traceability Mechanism Based on Data Processing Unit." In 2023 IEEE 11th Joint International Information Technology and Artificial Intelligence Conference (ITAIC). IEEE, 2023. http://dx.doi.org/10.1109/itaic58329.2023.10408832.

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Kalinin, Maxim, Maria Poltavtseva, and Dmitry Zegzhda. "Ensuring the Big Data Traceability in Heterogeneous Data Systems." In 2023 International Russian Automation Conference (RusAutoCon). IEEE, 2023. http://dx.doi.org/10.1109/rusautocon58002.2023.10272905.

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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. Washington, DC: 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. Gaithersburg, MD: National Institute of Standards and Technology, July 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), October 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), October 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, May 2020. http://dx.doi.org/10.5204/rep.eprints.200267.

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Abstract:
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 consumers in Nov/Dec 2019 exploring attitudes and preferences about blockchain-credentialed beef exports to China. Our results show that most local and foreign consumers were willing to pay more than the reference price for a BeefLedger branded Australian cut and packed Sirloin steak at the same weight. Although considered superior over Chinese processed Australian beef products, the Chinese market were sceptical that the beef they buy was really from Australia, expressing low trust in Australian label and traceability information. Despite lower trust, most survey respondents were willing to pay more for traceability supported Australian beef, potentially because including this information provided an additional sense of safety. Therefore, traceability information should be provided to consumers, as it can add a competitive advantage over products without traceability.
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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, January 2014. http://dx.doi.org/10.18235/0011533.

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Abstract:
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 cattle breeders. Using an eight year panel constructed by combining data from the Uruguayan livestock traceability system with a registry of ULP participants, we place bounds on the impact of the program on production and sales of calves by ULP beneficiaries using inverse probability weights estimated using propensity scores for selection into the ULP and selection into the dataset. Results show that the ULP increased calf production by between 11.36 and 15.3 calves on average in 2009 and 2010 and increased calf sales minus purchases by 4.35 on average over the same time span. Internal rates of return suggest these are moderately sized economic impacts. We examine the aspects of the ULP's design that might account for its positive but modest effects.
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Grimley. PR-015-07605-R01 Lower-Cost Liquid Meter Prover Calibration Method. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), June 2009. http://dx.doi.org/10.55274/r0010979.

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Abstract:
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. The master meter method uses the flowing product instead of water for the prover calibration and, therefore, eliminates substantial on-site waste handling issues. A master meter system consists of a portable volume prover and a turbine or positive displacement meter that is plumbed in series with the stationary prover to provide the calibration. The increased uncertainty associated with the two-step process of proving with a master meter is specifically mentioned in the API references concerning liquid meter proving; however, there has not been significant published testing to assess the differences in the methods. The objective of this project was to provide a comparison between the volume determined via the water draw method and that determined via the master eter method. A new stationary prover was used as the target device for the prover trials. Two water draw calibrations were performed and compared to the factory-provided water draw volume. The water draw results showed that with consistent measurement techniques, the results from three independent sources were within 0.02%. It is important to note that one data set had to be adjusted (based on tests) to provide this level of agreement.

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