Дисертації з теми "Data modelling frameworks"
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Bryan-Kinns, Nicholas Jonathan. "A framework for modelling video content." Thesis, Queen Mary, University of London, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.287876.
Повний текст джерелаHempel, Arne-Jens, and Steffen F. Bocklisch. "Parametric Fuzzy Modelling Framework for Complex Data-Inherent Structures." Universitätsbibliothek Chemnitz, 2009. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-200901487.
Повний текст джерелаSerpeka, Rokas. "Analyzing and modelling exchange rate data using VAR framework." Thesis, KTH, Matematik (Inst.), 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-94180.
Повний текст джерелаSilverwood, Richard Jonathan. "Issues in modelling growth data within a life course framework." Thesis, London School of Hygiene and Tropical Medicine (University of London), 2008. http://researchonline.lshtm.ac.uk/682377/.
Повний текст джерелаEkaterina, Guseva. "The Conceptual Integration Modelling Framework: Semantics and Query Answering." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/33464.
Повний текст джерелаMgbemena, Chidozie Simon. "A data-driven framework for investigating customer retention." Thesis, Brunel University, 2016. http://bura.brunel.ac.uk/handle/2438/13175.
Повний текст джерелаMouline, Ludovic. "Towards a modelling framework with temporal and uncertain data for adaptive systems." Thesis, Rennes 1, 2019. https://ged.univ-rennes1.fr/nuxeo/site/esupversions/32c7a604-bdf6-491e-ba8f-1a9f2a1c0b8b.
Повний текст джерелаSelf-Adaptive Systems (SAS) optimise their behaviours or configurations at runtime in response to a modification of their environments or their behaviours. These systems therefore need a deep understanding of the ongoing situation which enables reasoning tasks for adaptation operations. Using the model-driven engineering (MDE) methodology, one can abstract this situation. However, information concerning the system is not always known with absolute confidence. Moreover, in such systems, the monitoring frequency may differ from the delay for reconfiguration actions to have measurable effects. These characteristics come with a global challenge for software engineers: how to represent uncertain knowledge that can be efficiently queried and to represent ongoing actions in order to improve adaptation processes? To tackle this challenge, this thesis defends the need for a unified modelling framework which includes, besides all traditional elements, temporal and uncertainty as first-class concepts. Therefore, a developer will be able to abstract information related to the adaptation process, the environment as well as the system itself. Towards this vision, we present two evaluated contributions: a temporal context model and a language for uncertain data. The temporal context model allows abstracting past, ongoing and future actions with their impacts and context. The language, named Ain’tea, integrates data uncertainty as a first-class citizen
Förster, Stefan. "A formal framework for modelling component extension and layers in distributed embedded systems /." Dresden : TUDpress, 2007. http://www.loc.gov/catdir/toc/fy0803/2007462554.html.
Повний текст джерелаDuong, Thi V. T. "Efficient duration modelling in the hierarchical hidden semi-Markov models and their applications." Thesis, Curtin University, 2008. http://hdl.handle.net/20.500.11937/1408.
Повний текст джерелаDuong, Thi V. T. "Efficient duration modelling in the hierarchical hidden semi-Markov models and their applications." Curtin University of Technology, Dept. of Computing, 2008. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=18610.
Повний текст джерелаMost importantly, it has four superior features over existing semi-Markov modelling: the parameter space is compact, computation is fast (almost the same as the HMM), close-formed estimation can be derived, and the Coxian is flexible enough to approximate a large class of distributions. Next, we exploit hierarchical decomposition in the data by borrowing analogy from the hierarchical hidden Markov model in [Fine et al., 1998, Bui et al., 2004] and introduce a new type of shallow structured graphical model that combines both duration and hierarchical modelling into a unified framework, termed the Coxian Switching Hidden Semi-Markov Models (CxSHSMM). The top layer is a Markov sequence of switching variables, while the bottom layer is a sequence of concatenated CxHSMMs whose parameters are determined by the switching variable at the top. Again, we provide a thorough analysis along with inference and learning machinery. We also show that semi-Markov models with arbitrary depth structure can easily be developed. In all cases we further address two practical issues: missing observations to unstable tracking and the use of partially labelled data to improve training accuracy. Motivated by real-world problems, our application contribution is a framework to recognize complex activities of daily livings (ADLs) and detect anomalies to provide better intelligent caring services for the elderly.
Coarser activities with self duration distributions are represented using the CxHSMM. Complex activities are made of a sequence of coarser activities and represented at the top level in the CxSHSMM. Intensive experiments are conducted to evaluate our solutions against existing methods. In many cases, the superiority of the joint modeling and the Coxian parameterization over traditional methods is confirmed. The robustness of our proposed models is further demonstrated in a series of more challenging experiments, in which the tracking is often lost and activities considerably overlap. Our final contribution is an application of the switching Coxian model to segment education-oriented videos into coherent topical units. Our results again demonstrate such segmentation processes can benefit greatly from the joint modeling of duration and hierarchy.
Koutsouris, Alexander. "Building a coherent hydro-climatic modelling framework for the data limited Kilombero Valley of Tanzania." Doctoral thesis, Stockholms universitet, Institutionen för naturgeografi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-142201.
Повний текст джерелаDenna avhandling utforskar aspekter på att syntetisera data med olika rumslig och temporal upplösning, vilket är centralt för vattenförvaltning i östra Afrika. Särskilt fokus ligger på att undersöka möjligheten till att använda globala nederbördsdataset för att fylla rumsliga och temporala luckor där data saknas. Avhandlingen undersökeräven möjligheten till att använda flödesdata med icke-kompletta tidsserier samt kemidata från vattendrag för att utöka kunskap-en om hydrologiska processer. Informationen används för att bygga upp ett integrerande ram-verk för hydro-klimatologisk modellering som exempelvis kan användas för att utforska ef-fekten av ett utökat och intensifierat jordburk på vattenresurser. I denna avhandling användes Kilomberodalens avrinningsområde (Tanzania) som exempel på ett databegränsat område där det pågår en intensiv utökning av jordbruksverksamhet. Detta område kan ses som representa-tivt för ett stort antal områden inom östra Afrika.Datasyntesen innefattade två nederbördsprodukter baserade på satellitdata, tre baserade på återanalysprodukter samt två baserade på interpolering av observervationsdata från regnmä-tare. Dessa åtta produkter utvärderades baserat på deras nederbördsmönster i rum och tid. Ut-över detta utvärderades vattenföringsdata från Kilomberodalens avrinningsområde samt åtta delavrinningsområden utifrån mängden saknad data i respektive tidsserie. Vidare användes resultaten från hydrologisk recessionsanalysför att uppskatta den karaktäristiska avrinningsti-den för avrinningsområden. Resultaten från recessionsanalysensamthydrologiskt spårämnes-försök användessedan för att utöka kunskapen om avrinningsbildning och vattenföring i om-rådet samt som stöd i valet av hydrologiskt modelleringsverktyg. Avslutningsvis användes HBV-avrinningsmodellen för att simulera daglig vattenföring. Trots utmaningen i att arbeta iett databegränsat område och de osäkerheter i resultat som detta tenderar att leda till visar resultaten att det var möjligt att använda begränsad vattenfö-ringsdata och vattenkemidata för att utöka den hydrologiska processförståelsen av området. Detta möjliggjordes genom ett experimentellt upplägg som utnyttjade till ett stort signal-till-brusförhållande under rådande förhållanden av naturlig variabilitet. Kombinerade resultat från alla genomförda studier kunde utnyttjas vid konceptualiseringen och implementeringen av ramverket för hydroklimatologisk modellering av Kilomberodalens avrinningsområde. Till exempel kunde de globala nederbördsdataseten användas för lokal modellering av flödesdata med viss framgång efter syntes och implementering i det integrerande ramverket för hydro-klimatologisk modellering. Detta är lovande med tanke på behovet av att undersöka vilken påverkan möjliga framtida förändringar i markanvändning, klimat samt jordbruk har på den lokala och regionala miljön.
At the time of the doctoral defense, the following papers were unpublished and had a status as follows: Paper 3: Manuscript. Paper 4: Manuscript.
Dale, Anthony James Eric. "A Framework for Linking Projects and Project Management Methods." Thesis, University of Canterbury. Computer Science and Software Engineering, 2006. http://hdl.handle.net/10092/1182.
Повний текст джерелаLavassani, Mehrzad. "Reliable Information Exchange in IIoT : Investigation into the Role of Data and Data-Driven Modelling." Licentiate thesis, Mittuniversitetet, Avdelningen för informationssystem och -teknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-34886.
Повний текст джерелаSMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)
Doherty, Sean T. "The household activity-travel scheduling process, computerized survey data collection and the development of a unified modelling framework." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0018/NQ53889.pdf.
Повний текст джерелаPajak, Maciej. "Evolutionary conservation and diversification of complex synaptic function in human proteome." Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/31108.
Повний текст джерелаRhodes, S. J. "The development of a mathematical modelling framework to translate TB vaccine responses between species and predict the most immunogenic dose in humans using animal data." Thesis, London School of Hygiene and Tropical Medicine (University of London), 2018. http://researchonline.lshtm.ac.uk/4647153/.
Повний текст джерелаMallo, Angelina. "Problem – Orsak – Konsekvens (POK)-Modellen för mjukvaruutvecklingsprojekt." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-227850.
Повний текст джерелаIt is becoming more common to work in projects and therefor there are more and more software development methods to apply for the project. However, it is still not unusual to be working ad hoc, which can lead to uncalculated problems. A method or a framework shapes the project so that problems can be avoided in best possible way. It also helps developers to be aware of the problem that could arise. Despite this, there is no compilation of “anticipated problems” when working ad hoc. The purpose of this study is to produce a model to identify problems, root cause of problems and consequences of the problems that can occur when working in a software development project with the help from frameworks. The frameworks used in this study are Essence – Kernel and Languages for Software Engineering Methods and Self- Governance Developer Framework. The goal is that the model is used in software development environments for projects or research. The study is of qualitative nature with inductive approach. A software project was performed where the team worked without a method and identified problems from a follow-up that was active during the workflow of the project. The result of the study is a model, which should be able to find the source to occurred problems as well as consequence within the project.
Blomberg, Per. "Informell Statistisk Inferens i modelleringssituationer : En studie om utveckling av ett ramverk för att analysera hur elever uttrycker inferenser." Licentiate thesis, Linnéuniversitetet, Institutionen för matematikdidaktik (MD), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-45572.
Повний текст джерелаThe purpose of this study is to improve our knowledge about teaching and learning of informal statistical inference. A qualitative research strategy is used in the study that focuses on the testing and generation of theories inspired by grounded theory. The knowledge focus of the study is aimed at the characterisation of statistical processes and concepts where systems of concept frameworks about informal statistical inference and modelling represent an essential part of the research. In order to obtain adequate empirical data, a teaching situation was devised whereby students were involved in planning and implementing an investigation. The study was conducted in a normal classroom situation where the teaching was focused on an area in probability and statistics that included the introduction of box plots and normal distribution with related concepts. The empirical material was collected through video recordings and written reports. The material was analysed using a combined framework of informal statistical inference and modelling. The results of the analysis highlight examples of how students can be expected to express aspects of informal statistical inference within the context of statistical inquiry. A framework was also developed aimed to theoretically depict informal statistical inference in modelling situations. The study suggests that this framework has the potential to be used to analyse how informal statistical inference of students are expressed and to identify potential learning opportunities for students to develop their ability to express inferences.
Grippa, Taïs. "Very‑high resolution earth observation data and open‑source solutions for mapping urban areas in sub-Saharan Africa. Implementation of an operational framework for production of geoinformation. Application on Ouagadougou (Burkina Faso) and Dakar (Senegal)." Doctoral thesis, Universite Libre de Bruxelles, 2019. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/284464.
Повний текст джерелаOption Géographie du Doctorat en Sciences
info:eu-repo/semantics/nonPublished
Albiol, Graullera Pablo. "Architecture Design and Interoperability Analysisof a SCADA System for the Power Network Control and Management." Thesis, KTH, Mekatronik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-217798.
Повний текст джерелаSCADA (Supervisory Control and Data Acquisition) systems have been widely used during the last decades delivering excellent results for the power network operation and management. However, some current customer requirements are for SCADA systems to integrate external components in order to perform advanced power network studies and develop both existing and new business processes. This novel viewpoint will make these systems evolve from a monolithic infrastructure towards a loosely coupled and flexible architecture. Hence, new needs have arisen with the aim of improving the system interoperability, reducing the complexity and enhancing the maintainability. This master´s thesis project presents an Interoperability Prediction Framework (IPF), that supports the architecture design process during the early stages of product development. In addition, this work has also investigated some alternative architectures, which have been modelled and verified using the previously mentioned framework. A first conceptual architecture has been designed to improve the internal system interoperability, reducing the coupling between the basic SCADA and the Energy Management System (EMS). Later, a second architecture that allows the integration of external components has been introduced to promote the external interoperability. Results show that the proposed architectures are correct (according to the IPF) and the interoperability of the system is improved. Furthermore, initial conclusions suggest that the final proposed solution would be less complex than the current architecture in the long term, although a large effort and substantial changes would be needed to upgrade the system architecture.
Teng, Sin Yong. "Intelligent Energy-Savings and Process Improvement Strategies in Energy-Intensive Industries." Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-433427.
Повний текст джерелаMochão, Hugo Daniel Cepeda. "Improvement of KiMoSys framework for kinetic modelling." Master's thesis, 2021. http://hdl.handle.net/10362/118280.
Повний текст джерелаNos últimos anos, uma quantidade crescente de dados biológicos produzidos atesta a importância dos repositórios de dados. As bases de dados garantem uma maneira mais fácil de reutilizar e partilhar dados de pesquisa entre a comunidade científica. Entre as características mais importantes estão o rápido acesso aos dados, descritos por metada dos e disponíveis em formatos padrão, e o cumprimento dos Princípios FAIR (Findable, Accessible, Interoperable e Reusable) para a gestão de dados. KiMoSys (https://kimosys.org) consiste num repositório público de domínio espe cífico de dados experimentais, contendo dados de concentração de enzimas, metabolitos e dados de fluxo. Oferece uma interface para a web e uma ferramenta de carregamento de dados, tornando-os acessíveis em formatos padrão, além de integrar modelos cinéticos relacionados aos dados. Esta tese contribui para o melhoramento e extensão do KiMoSys. Inclui a adição de mais formatos de dados para descarga, a introdução de visualização de dados, a incorpo ração de mais opções para filtrar os dados, a integração de um ambiente de simulação para modelos cinéticos e a inclusão de um sistema de identificador único persistente. Como resultado, é apresentada uma nova versão do KiMoSys, com uma interface renovada, várias novas características e um aprimoramento das anteriormente existentes. Estas estão de acordo com todos os princípios de dados FAIR. Portanto, acredita-se que o KiMoSys v2.0 será uma ferramenta importante para a comunidade de modelagem de sistemas biológicos.
Zhu, Lingkai. "SemDQ: A Semantic Framework for Data Quality Assessment." Thesis, 2014. http://hdl.handle.net/10012/8558.
Повний текст джерелаSabelnykova, Veronica. "Bayesian methods for joint modelling of survival and longitudinal data: applications and computing." Thesis, 2012. http://hdl.handle.net/1828/4378.
Повний текст джерелаGraduate
"IISS: A Framework to Influence Individuals through Social Signals on a Social Network." Master's thesis, 2014. http://hdl.handle.net/2286/R.I.24884.
Повний текст джерелаDissertation/Thesis
M.S. Computer Science 2014
Musenge, Eustasius. "Modelling spatiotemporal patterns of childhood HIV/TB related mortality and malnutrition: applications to Agincourt data in rural South Africa." Thesis, 2014.
Знайти повний текст джерелаOsman, I. H., A. L. Anouze, N. M. Hindi, Zahir Irani, Habin Lee, and Vishanth J. P. Weerakkody. "I-MEET Framework for the Evaluation eGovernment Services from Engaging Stakeholders' Perspectives." 2014. http://hdl.handle.net/10454/14103.
Повний текст джерелаI-MEET is an Integrated Model for Evaluating E-government services Transformation from stakeholders' perspectives. It is based on an integration of concepts from value chain management and business process transformation to optimize the system-wide value chain of providers and users simultaneously. It aims to align stakeholders on a common global value against traditional disintegrated approaches where each stakeholder optimizes its e-service local value at the expense of others. The measured variables are derived from the literature and focused groups. They are then categorized into cost and risk (Inputs) and (benefit and opportunity) Outputs after a validation process based on Structured Equation Models using a sample of 1540 user-responses of e-services in the UK. Finally, Data Envelopment Analysis is conducted to derive an aggregated of an e-service satisfaction value using the various inputs and outputs. The empirical results demonstrate that data-derived weights for aggregating indicators are variable rather than fixed across e-services. The novelty of the assessment approach lies in its capability to provide informed suggestions to set targets to improve an eservice from the perspective of all engaging users. Hence it provides a better transformation of public administration services and improved take up by citizens and businesses.
Quazi, K. Hassan. "A Framework for Modelling Species-Specific Site Quality Index Based on Data Generated From Remote Sensing Imagery and a Process-Based Model." Thesis, 2008. http://hdl.handle.net/1882/1033.
Повний текст джерелаEsteves, Hugo Alexandre Martins. "Predictive analytics applied to Alzheimer’s disease : a data visualisation framework for understanding current research and future challenges." Master's thesis, 2019. http://hdl.handle.net/10362/63807.
Повний текст джерелаBig Data is, nowadays, regarded as a tool for improving the healthcare sector in many areas, such as in its economic side, by trying to search for operational efficiency gaps, and in personalised treatment, by selecting the best drug for the patient, for instance. Data science can play a key role in identifying diseases in an early stage, or even when there are no signs of it, track its progress, quickly identify the efficacy of treatments and suggest alternative ones. Therefore, the prevention side of healthcare can be enhanced with the usage of state-of-the-art predictive big data analytics and machine learning methods, integrating the available, complex, heterogeneous, yet sparse, data from multiple sources, towards a better disease and pathology patterns identification. It can be applied for the diagnostic challenging neurodegenerative disorders; the identification of the patterns that trigger those disorders can make possible to identify more risk factors, biomarkers, in every human being. With that, we can improve the effectiveness of the medical interventions, helping people to stay healthy and active for a longer period. In this work, a review of the state of science about predictive big data analytics is done, concerning its application to Alzheimer’s Disease early diagnosis. It is done by searching and summarising the scientific articles published in respectable online sources, putting together all the information that is spread out in the world wide web, with the goal of enhancing knowledge management and collaboration practices about the topic. Furthermore, an interactive data visualisation tool to better manage and identify the scientific articles is develop, delivering, in this way, a holistic visual overview of the developments done in the important field of Alzheimer’s Disease diagnosis.
Big Data é hoje considerada uma ferramenta para melhorar o sector da saúde em muitas áreas, tais como na sua vertente mais económica, tentando encontrar lacunas de eficiência operacional, e no tratamento personalizado, selecionando o melhor medicamento para o paciente, por exemplo. A ciência de dados pode desempenhar um papel fundamental na identificação de doenças em um estágio inicial, ou mesmo quando não há sinais dela, acompanhar o seu progresso, identificar rapidamente a eficácia dos tratamentos indicados ao paciente e sugerir alternativas. Portanto, o lado preventivo dos cuidados de saúde pode ser bastante melhorado com o uso de métodos avançados de análise preditiva com big data e de machine learning, integrando os dados disponíveis, geralmente complexos, heterogéneos e esparsos provenientes de múltiplas fontes, para uma melhor identificação de padrões patológicos e da doença. Estes métodos podem ser aplicados nas doenças neurodegenerativas que ainda são um grande desafio no seu diagnóstico; a identificação dos padrões que desencadeiam esses distúrbios pode possibilitar a identificação de mais fatores de risco, biomarcadores, em todo e qualquer ser humano. Com isso, podemos melhorar a eficácia das intervenções médicas, ajudando as pessoas a permanecerem saudáveis e ativas por um período mais longo. Neste trabalho, é feita uma revisão do estado da arte sobre a análise preditiva com big data, no que diz respeito à sua aplicação ao diagnóstico precoce da Doença de Alzheimer. Isto foi realizado através da pesquisa exaustiva e resumo de um grande número de artigos científicos publicados em fontes online de referência na área, reunindo a informação que está amplamente espalhada na world wide web, com o objetivo de aprimorar a gestão do conhecimento e as práticas de colaboração sobre o tema. Além disso, uma ferramenta interativa de visualização de dados para melhor gerir e identificar os artigos científicos foi desenvolvida, fornecendo, desta forma, uma visão holística dos avanços científico feitos no importante campo do diagnóstico da Doença de Alzheimer.
Singhal, Vikas. "A conceptual framework for effective BIM-enabled information management in railways." Master's thesis, 2020. http://hdl.handle.net/1822/74958.
Повний текст джерелаThe rail-based transportation projects are at the first line of any strategic agenda, as the advantages realized from them such as environmental sustainability, economic benefits and the enhanced transportation safety to the passengers are well researched and proven. It is also important that the methods and processes of BIM are applied to the rail-based projects, for the project executors to deliver the project without time and cost overruns. There are many examples cited to show the advantages that major railway projects around the world have accomplished over the different phases of the project life cycle by embracing the BIM processes. There are impairments in the adoption of BIM across the supply chain in the railway projects, with the huge ecosystem and multiple heterogenous participants. So, it is essential to understand the stakeholder’s arrangements and their requirements in terms of Information, to completely utilize the information management functions using BIM technologies and methods. The integration of the supply chain and appropriate information transition across the project phases are the key considerations for the development of a BIM framework for effective information management across the project. This work aims to contribute to a clarification of the information workflow and the importance of each one of the tools used for its management, throughout the setting up of some conceptual frameworks. Common Data Environment is analyzed as a powerful tool for the management, development, dissemination, and archiving of information, to serve as an integration channel for the supply chain. There are standard recommendations and frameworks developed to assist the organizations for setting up the CDE that will integrate the different stakeholders and act as the Single source of truth of the information for the ecosystem at any given phase of the project. The information requirements are recommended to be divided into Organization Information requirements, Asset Information Requirements, Project Information Requirements and Exchange Information Requirements. It is critical that the requirements are defined based on the requirements of expected BIM Uses, Project Phases essentials and stakeholders’ requirements. The principle of expressing the information requirements at the procurement process is based on ‘keeping end in mind’, which is vital from the operations and maintenance perspectives. The concept of Pre-Contract and Post-Contract BIM Execution Plan are also essential to complete the procurement cycle and the assessment of the delivery team.
Os projetos de transporte ferroviário estão na primeira linha de qualquer agenda estratégica, uma vez que as vantagens que deles resultam, tais como a sustentabilidade ambiental, os benefícios económicos e o aumento da segurança do transporte para os passageiros, estão já bem investigadas e comprovadas. É também importante que os métodos e processos do BIM sejam aplicados aos projetos relacionados com o caminho-de-ferro, para que os executores do projeto o entreguem sem exceder os prazos e os custos. Há já muitos exemplos referenciados, em todo o mundo, para mostrar as vantagens que os grandes projetos ferroviários atingem, ao longo das diversas fases do ciclo de vida do projeto, ao adotarem processos BIM. Existem, porém, deficiências na adoção do BIM ao longo da cadeia de fornecimento, nos projetos ferroviários, dado o enorme ecossistema e múltiplos e heterogéneos participantes. Assim, é essencial compreender as necessidades das partes interessadas e os seus requisitos em termos de Informação, para poder utilizar cabalmente as funções de gestão da informação utilizando as tecnologias e métodos BIM. A integração da cadeia de fornecimento e a transição adequada da informação ao longo das diversas fases do projeto são chave para o completo desenvolvimento de uma estrutura BIM e para uma gestão eficaz da informação em todo o projeto. Este trabalho visa contribuir para uma clarificação do fluxo da informação e da importância de cada uma das ferramentas utilizadas para a sua gestão, através da definição de alguns enquadramentos conceptuais. O Ambiente Comum de Dados é analisado, enquanto ferramenta poderosa para a gestão, desenvolvimento, disseminação e arquivo da informação, para servir como um canal de integração para toda a cadeia de fornecimento. Existem recomendações e enquadramentos normalizados desenvolvidos para apoiar as organizações na definição do CDE de modo a integrar os diferentes intervenientes e atuar como “fonte única da verdade” da informação, para o ecossistema, em qualquer fase do projeto. Recomenda-se que os requisitos de informação sejam divididos em Requisitos de Informação da Organização, Requisitos de Informação de Ativos, Requisitos de Informação do Projeto e Requisitos de Trocas de Informação. É fundamental que os requisitos sejam definidos com base nos requisitos das utilizações esperadas do BIM, das principais fases do projeto e dos requisitos das partes interessadas. O princípio de explicitar os requisitos de informação logo no processo de contratação, baseia-se em "ter o fim em vista", o que se torna vital sob o ponto de vista das operações e manutenção. O conceito de Plano de Execução BIM Pré-Contrato e Pós-Contrato é também essencial para se completar o ciclo de aprovisionamento e a avaliação da equipa fornecedora.