Academic literature on the topic 'Réutilisation des données'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Réutilisation des données.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Réutilisation des données"
Teller, Marina. "La régulation des données de santé : entre intérêt général et intérêts particuliers." Revue internationale de droit économique XXXVI, no. 3 (April 21, 2023): 5–11. http://dx.doi.org/10.3917/ride.363.0005.
Full textQuest, Christian, Antoine Courmont, Samuel Goeta, and Timothée Gidoin. "« Mettre l’utilisateur au centre de la diffusion de données ». Entretien avec Christian Quest." Statistique et société 5, no. 3 (2017): 25–28. https://doi.org/10.3406/staso.2017.1046.
Full textGandon, Fabien. "Une toile de fond pour le Web : lier les données et lier leurs vocabulaires sur la toile, pour un Web plus accessible aux machines." Annales des Mines - Enjeux numériques N° 10, no. 2 (June 22, 2020): 37–43. http://dx.doi.org/10.3917/ennu.010.0037.
Full textHigh, Steven, and Françoise McNeil. "« Au-delà du syndrome de la ‘‘citation payante’’ » : les archives vivantes et la recherche réciproque en histoire orale1." Dossier thématique 69, no. 1-2 (January 19, 2016): 137–63. http://dx.doi.org/10.7202/1034592ar.
Full textPayot, Noémie. "Exploitation et réutilisation des données : mise en perspective avec le patrimoine numérique de la BCU Lausanne." Informationswissenschaft: Theorie, Methode und Praxis 8, no. 1 (May 6, 2024): 555–72. http://dx.doi.org/10.18755/iw.2024.26.
Full textLebeau, Aimé. "Les grands utilisateurs des services psychiatriques d’urgence dans la région du Montréal métropolitain." Santé mentale au Québec 7, no. 1 (June 13, 2006): 57–74. http://dx.doi.org/10.7202/030125ar.
Full textApithy, Leïla, Stéphane Guyard, Séverine Bouard, Michel Passouant, Jean-Michel Sourisseau, and Jean-François Bélières. "L’informel et le non-marchand dans les systèmes d’activités : enquête représentative sur les ménages kanak en tribus de Nouvelle-Calédonie." Cahiers Agricultures 27, no. 2 (March 2018): 25501. http://dx.doi.org/10.1051/cagri/2018012.
Full textBendjaballah, Selma, Guillaume Garcia, Sarah Cadorel, Emilie Groshens, Emilie Fromont, and Emeline Juillard. "Valoriser les données d’enquêtes qualitatives en sciences sociales : le cas français de la banque d’enquête beQuali." Documentation et bibliothèques 63, no. 4 (December 5, 2017): 73–85. http://dx.doi.org/10.7202/1042306ar.
Full textBoustany, Joumana. "Accès et réutilisation des données publiques. état des lieux en France." Les cahiers du numérique 9, no. 1 (March 30, 2013): 9–19. http://dx.doi.org/10.3166/lcn.9.1.9-19.
Full textRiou, C., G. Bouzillé, and M. Cuggia. "Gouvernance pour la réutilisation des données patients pour la recherche dans un entrepôt de données biomédicales." Revue d'Épidémiologie et de Santé Publique 64 (March 2016): S14—S15. http://dx.doi.org/10.1016/j.respe.2016.01.049.
Full textDissertations / Theses on the topic "Réutilisation des données"
Mehira, Djamel. "Bases de données images : application à la réutilisation en synthèse d'images." La Rochelle, 1998. http://www.theses.fr/1998LAROS017.
Full textBilasco, Ioan Marius. "Une approche sémantique pour la réutilisation et l’adaptation de données 3D." Grenoble 1, 2007. http://www.theses.fr/2007GRE10262.
Full textThe number of applications and access devices 30 enabled increases steadily. This trend is encouraging the development of tools for the retrieval, the reuse and the adaptation of 30 data. Usually, such tools are developed in the narrow context of a specifie application. This is partly because the 30 data are usually defined only by their geometry and by their appearance and are difficult to be considered in contexts independent from a specifie application domain. We consider these issues by proposing a solution that enhances 30 data description by semantic annotations and organizes them into a model (30SEAM) according to the dimension described: geometry, appearance, topology, semantics and media profile. To accommodate the variability of the model in terms of semantic descriptions, we propose an extension of the OQL using 30SEAM specifie constructs. A platform (30AF) federates the instantiation and the interrogation of such descriptions. Above this platform, we build a platform focusing on the reuse of 30 data and their semantics (30S0L). Ln addition, we are adopting an approach of adapting 30 data based on semantic rules interpreted and executed by an adaptation platform (Adapt30). The reuse and the adaptation processes employ an XML standard for 30 data: X30. The transformations applied to data are implemented using XSL T. An application that concerns the management of 30 urban scenes is proposed in order to validate the various formalisms introduced by our approach. The application is based on the instantiation of the description model usin MPEG-7. The query process is supported by XQuery
Hadji, Brahim. "Utilisation et réutilisation des données d'un système d'information clinique : application aux données de pilotage à l'hôpital européen Georges Pompidou." Thesis, Paris 6, 2016. http://www.theses.fr/2016PA066039/document.
Full textThe information and communication technologies (ICT) have been developed in all economic sectors. In the healthcare field, and particularly in hospitals with the introduction of clinical information systems (CIS), investments have dramatically increased. The rationale for these investments is the improvement of both the hospital efficiency and the quality of the care delivered to patients after the deployment of a fully integrated CIS. In the aim to validate these relationships adapted methodologies, need to be designed and implemented. This thesis concentrates on the CIS maturity and hospital efficiency relationship. Material for testing the hypothesis come from several CIS evaluations performed at HEGP and data extracted from the decision analytics tools of Assistance Publique Hôpitaux de Paris (AP-HP). After a study of the literature on the use and satisfaction evaluation of a CIS, the first part of the thesis is organized around two main studies. A 14 years longitudinal study achieved between 2004 and 2014 analyzes the evolution of use and satisfaction and their determinants within a multi professional group of users using multiple regression techniques and structural equation methods. In early post-adoption (4 years), the CIS use, the CIS quality, and the CIS perceived usefulness (PU) explain 53% of the variance in user satisfaction. In the very late post-adoption phase (> 10 years), the effect of use on user satisfaction is no more significant. In contrast, the CIS quality, the confirmation of expectations, and the PU are the best determinants of satisfaction explaining 86% of its variance. In a second study focused on continuance intention, satisfaction and PU appear to be the best determinants of continuance intention, with a strong indirect influence of the CIS quality. A unified model is proposed and compared to the main models of the literature. The measurement of hospital efficiency was achieved with an econometric approach. Selection of indicators entered in the econometric model was performed on the basis of a systematic literature review. Three categories of input indicators and three categories of output indicators are considered. The relationship between the input and output indicators are analyzed through a Stochastic Frontier Analysis model. An overall decrease of the efficiency of the 20 short-stay hospitals of the AP-HP for the 2009-2014 period is observed and its possible causes are discussed. The development and validation of CIS use-satisfaction evaluation model combined with the analysis of the hospital efficiency evolution over time could be the first phase of a more global evaluation of the complex influence of IT introduction on hospital efficiency and the quality of care delivered to patients
Hajri, Hiba. "Personnalisation des MOOC par la réutilisation de Ressources Éducatives Libres." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLC046/document.
Full textFor many years now, personalization in TEL is a major subject of intensive research. With the spreading of Massive Open Online Courses (MOOC), the personalization issue becomes more acute. Actually, any MOOC can be followed by thousands of learners with different educational levels, learning styles, preferences, etc. So, it is necessary to present pedagogical contents taking into account their heterogeneous profiles so that they can maximize their benefit from following the MOOC.At the same time, the amount of Open Educational Resources (OER) available on the web is permanently growing. These OERs have to be reused in contexts different from the initial ones for which they were created.Indeed, producing quality OER is costly and requires a lot of time. Then, different metadata schemas are used to describe OER. However, the use of these schemas has led to isolated repositories of heterogeneous descriptions which are not interoperable. In order to address this problem, a solution adopted in the literature is to apply Linked Open Principles (LOD) to OER descriptions.In this thesis, we are interested in MOOC personalization and OER reuse. We design a recommendation technique which computes a set of OERs adapted to the profile of a learner attending some MOOC. The recommended OER are also adapted to the MOOC specificities. In order to find OER, we are interested in those who have metadata respecting LOD principles and stored in repositories available on the web and offering standardized means of access. Our recommender system is implemented in the MOOC platform Open edX and assessed using a micro jobs platform
Rochoy, Michaël. "Recherche de facteurs associés à la maladie d’Alzheimer par réutilisation de base de données massives." Thesis, Lille 2, 2019. http://www.theses.fr/2019LIL2S001/document.
Full textINTRODUCTION. Severe neurocognitive disorders or dementias are defined by ICD-10 and DSM-5. They encompass a broad nosographic framework: Alzheimer's dementia, vascular dementia, Lewy body dementia, frontal-temporal lobar degeneration, etc. Each type of dementia has its own diagnostic criteria and partially identified risk factors. Identifying cognitive disorders in large databases is a complex issue, which must take into account changes in knowledge. Our first objective was to describe the evolution of dementia coding in the national database of the Medicalization of Information Systems Program (PMSI) for short stays, as diagnostic criteria evolved. Our second objective was to summarize the main known associated factors of Alzheimer's disease. Our third objective was to determine the factors associated with the onset of Alzheimer's disease in the national database of the short stay PMSI.METHODS. For the first work, we used the main diagnoses on the ScanSanté site for the short stay PMSI from 2007 to 2017. For the second work, we synthesized the literature reviews and meta-analyses using the PubMed and LiSSa search engines. For the third work, we conducted an analytical study by data mining in the national database of the short stay PMSI for patients aged 55 years or older in 2014: we selected 137 potential explanatory variables in 2008; the dependant variable was Alzheimer's disease or dementia in 2014.RESULTS. Our first work on the identification of dementias shows a decrease in inpatient stays with a main diagnosis of Alzheimer's disease or dementia, with a shift towards other organic mental disorders; stability of inpatint stays with a main diagnosis of vascular dementia but with a modification of under-diagnosis (decrease in main diagnoses of multiple heart attacks and increase in all other subtypes); a significant increase in inpatient stays with a main diagnosis of dementia or other persistent or late cognitive disorders related to alcohol consumption; a homogeneous evolution throughout the French territory. These results support a coding that respects the evolution of the literature. Our next two studies on the identification of at-risk populations identify several factors associated with Alzheimer's disease or dementia, including age, gender, diabetes mellitus, depression, undernutrition, bipolar, psychotic and anxiety disorders, low education, excess alcohol, epilepsy, falls after age 75 and intracranial hypertension. These associated factors may be risk factors, early, revealing or precipitating symptoms.CONCLUSION. Identifying cognitive disorders in large databases requires a good understanding of the evolution of dementia coding, which seems to respect the evolution of knowledge. The identification of patients with factors associated with dementia allows a more focused early identification and then proper identification of the etiological diagnosis necessary for appropriate management
Ferret, Laurie. "Anticoagulants oraux, réutilisation de données hospitalières informatisées dans une démarche de soutien à la qualité des soins." Thesis, Lille 2, 2015. http://www.theses.fr/2015LIL2S016/document.
Full textIntroduction :Oral anticoagulants raise major issues in terms of bleeding risk and appropriate use. The computerization of medical records offers the ability to access large databases that can be explored automatically. The objective of this work is to show how routinely collected data can be reused to study issues related to anticoagulants in a supportive approach to quality of care.MethodsThis work was carried out on the electronic data (97,355 records) of a community hospital. For each inpatient stay we have diagnostic, biological, drug and administrative data, and the discharge letters. This work is organized around three axes:Axis I. The objective is to evaluate the accuracy of the detection of factors that may increase the anticoagulant effect of vitamin K antagonists (VKA), using rules developed in the PSIP european project (grant agreement N° 216130). A case review on one year enabled the calculation of the positive predictive value and sensitivity of the rules. Axis II. We conducted a cohort study on data from 2007 to 2012 to determine the major elements involved in raising the risk of bleeding related to VKA in clinical reality. Cases were the stays with an elevation of the INR beyond 5, the controls did not have.Axis III. We made data reuse serve a study of the quality of the prescriptions. On the one hand we assessed treatment of the thromboembolic risk recommendations in atrial fibrillation (AF) in the elderly, on the other hand we investigated the prescription of direct oral anticoagulants.Results : Axis I : The positive predictive value of the rules intended to detect the factors favoring the elevation of INR in case of treatment with VKA is 22.4%, the sensitivity is 84.6%. The main contributive rules are the ones intended to detect an infectious syndrome and amiodarone.Axis II : The major factor increasing the INR with VKA treatment highlighted by the cohort study are infectious syndrome, cancer, hepatic insufficiency and hypoprotidemia. The recommendations compliance rate in atrial fibrillation in the elderly is 47.8%. Only 45% of patients receive oral anticoagulants, 22.9% do not receive antithrombotic treatment at all and 32.1% received platelet aggregation inhibitors. Direct oral anticoagulants are prescribed at inadequate dosages in 15 to 31.4% of patients, respectively for dabigatran and rivaroxaban. These errors are mainly underdosages in the elderly with atrial fibrillation (82.6%).Discussion : The computerization of medical records has led to the creation of large medical databases, which can be used for various purposes as we show in this work. In the first work axis we have shown that rule-based decision support systems detect the contributing factors for VKA overdose with a good sensitivity but a low positive predictive value. The second line shows that we could use the data for exploratory purposes to identify factors associated with increased INR in patients receiving VKA in “real life practice”. The third line shows that the rule-based systems can also be used to identify inappropriate prescribing for the purpose of improving the quality of care. In the field of anticoagulation this work opens up innovative perspectives for improving the quality of care
Fruchart, Mathilde. "Réutilisation des données de soins premiers : spécificités, standardisation et suivi de la prise en charge dans les Maisons de Santé Pluridisciplinaires." Electronic Thesis or Diss., Université de Lille (2022-....), 2024. http://www.theses.fr/2024ULILS040.
Full textContext : Reusing healthcare data beyond its initial use helps to improve patient care, facilitate research, and optimize the management of healthcare organizations. To achieve this, data is extracted from healthcare software, transformed and stored in a data warehouse through an extract-transform-load(ETL) process. Common data models, such as the OMOP model, exist to store data in a homogeneous,source-independent format. Data from healthcare claims centralized in the national database (SNDS), hospital, social networks and forums, and primary care are different data sources representative of the patient care pathway. The last data source has not been fully exploited. Objective : The aim of this thesis was to incorporate the specificities of primary care data reuse to implement a data warehouse while highlighting the contribution of primary care to the field of research. Methods : The first step was to extract the primary care data of a multidisciplinary health center (MHC) from the WEDA care software. A primary care data warehouse was implemented using an ETL process. Structural transformation (harmonization of the database structure) and semantic transformation (harmonization of the vocabulary used in the data) were implemented to align the data with the common OMOP data model. A process generalization tool was developed to integrate general practitioners (GP) data from multiple care structures and tested on four MHCs. Subsequently, algorithm for assessing the persistence of a prescribed treatment and dashboards were developed. Thanks to the use of the OMOP model, these tools can be shared with other MHCs. Finally, retrospective studies were conducted on the diabetic population of the four MHCs. Results : Over a period of more than 20 years, data of 117,005 patients from four MHCs wereloaded into the OMOP model using our ETL process optimization tool. These data include biological results from laboratories and GP consultation data. The vocabulary specific to primary care was aligned with the standard concepts of the model. An algorithm for assessing persistence with treatment prescribed by the GP and also a dashboard for monitoring performance indicators (ROSP) and practice activity have been developed. Based on the data warehouses of four MHCs, we described the follow-up of diabetic patients. These studies use biological results, consultation and drug prescriptions data in OMOP format. The scripts of these studies and the tools developed can be shared. Conclusion : Primary care data represent a potential for reusing data for research purposes and improving the quality of care. They complement existing databases (hospital, national and social networks) by integrating clinical data from the city. The use of a common data model facilitates the development of tools and the conduct of studies, while enabling their sharing. Studies can be replicated in different centers to compare results
Djaffardjy, Marine. "Pipelines d'Analyse Bioinformatiques : solutions offertes par les Systèmes de Workflows, Cadre de représentation et Étude de la Réutilisation." Electronic Thesis or Diss., université Paris-Saclay, 2023. http://www.theses.fr/2023UPASG059.
Full textBioinformatics is a multidisciplinary field that combines biology, computer science, and statistics, aiming to gain a better understanding of living mechanisms. It relies primarily on the analysis of biological data. Major technological improvements, especially sequencing technologies, gave rise to an exponential increase of data, laying out new challenges in data analysis and management.In order to analyze this data, bioinformaticians use pipelines, which chain computational tools and processes. However, the reproducibility crisis in scientific research highlights the necessity of making analyses reproducible and reusable by others.Scientific workflow systems have emerged as a solution to make pipelines more structured, understandable, and reproducible. Workflows describe procedures with multiple coordinated steps involving tasks and their data dependencies. These systems assist bioinformaticians in designing and executing workflows, facilitating their sharing and reuse. In bioinformatics, the most popular workflow systems are Galaxy, Snakemake, and Nextflow.However, the reuse of workflows faces challenges, including the heterogeneity of workflow systems, limited accessibility to workflows, and the need for public workflow databases. Additionally, indexing and developing workflow search engines are necessary to facilitate workflow discovery and reuse.In this study, we developed an analysis method for workflow specifications to extract several representative characteristics from a dataset of workflows. The goal was to propose a standardized representation framework independent of the specification language. Additionally, we selected a set of workflow characteristics and indexed them into a relational database and a structured semantic format. Finally, we established an approach to detect similarity between workflows and between processors, enabling us to observe the reuse practices adopted by workflow developers
Bouzillé, Guillaume. "Enjeux et place des data sciences dans le champ de la réutilisation secondaire des données massives cliniques : une approche basée sur des cas d’usage." Thesis, Rennes 1, 2019. http://www.theses.fr/2019REN1B023/document.
Full textThe dematerialization of health data, which started several years ago, now generates na huge amount of data produced by all actors of health. These data have the characteristics of being very heterogeneous and of being produced at different scales and in different domains. Their reuse in the context of clinical research, public health or patient care involves developing appropriate approaches based on methods from data science. The aim of this thesis is to evaluate, through three use cases, what are the current issues as well as the place of data sciences regarding the reuse of massive health data. To meet this objective, the first section exposes the characteristics of health big data and the technical aspects related to their reuse. The second section presents the organizational aspects for the exploitation and sharing of health big data. The third section describes the main methodological approaches in data sciences currently applied in the field of health. Finally, the fourth section illustrates, through three use cases, the contribution of these methods in the following fields: syndromic surveillance, pharmacovigilance and clinical research. Finally, we discuss the limits and challenges of data science in the context of health big data
Eyssautier-Bavay, Carole. "Modèles, langage et outils pour la réutilisation de profils d'apprenants." Phd thesis, Université Joseph Fourier (Grenoble), 2008. http://tel.archives-ouvertes.fr/tel-00327198.
Full textIl n'existe pas à l'heure actuelle de solution technique permettant de réutiliser ces profils hétérogènes. Cette thèse cherche donc à proposer des modèles et des outils permettant la réutilisation pour les différents acteurs de profils d'apprenants créés par d'autres.
Dans nos travaux, nous proposons le modèle de processus de gestion de profils REPro (Reuse of External Profiles). Pour permettre la réutilisation de profils hétérogènes, nous proposons de les réécrire selon un formalisme commun qui prend la forme d'un langage de modélisation de profils, le langage PMDL (Profiles MoDeling Language). Nous définissons ensuite un ensemble d'opérateurs permettant la transformation des profils ainsi harmonisés, ou de leur structure, tels que l'ajout d'éléments dans le profil, ou la création d'un profil de groupe à partir de profils individuels. Ces propositions ont été mises en œuvre au sein de l'environnement EPROFILEA du projet PERLEA (Profils d'Élèves Réutilisés pour L'Enseignant et l'Apprenant), avant d'être mises à l'essai auprès d'enseignants en laboratoire.
Books on the topic "Réutilisation des données"
Droit de réutilisation et exploitation commerciale des données publiques. Paris: Documentation française, 2011.
Find full textBouzar-Benlabiod, Lydia, and Stuart H. Rubin. Reuse in Intelligent Systems. Taylor & Francis Group, 2020.
Find full textBouzar-Benlabiod, Lydia, and Stuart H. Rubin. Reuse in Intelligent Systems. Taylor & Francis Group, 2020.
Find full textReuse in Intelligent Systems. Taylor & Francis Group, 2020.
Find full textReuse in Intelligent Systems. Taylor & Francis Group, 2021.
Find full textBook chapters on the topic "Réutilisation des données"
Cobos, Mireille, and Aurélie Bouquet. "Les remaniements de corps au sein du cimetière des frères prêcheurs à Aix-en-Provence : évolution des gestes de fossoyage entre la fin du xiiie et le xviie siècle (Bouches-du-Rhône)." In Rencontre autour des typo-chronologies des tombes à inhumation, 189–99. Tours: Fédération pour l’édition de la Revue archéologique du Centre de la France, 2022. http://dx.doi.org/10.4000/12pgr.
Full textLe Béchec, Mariannig, Philippe Charrier, and Gabriel Gallezot. "Communication scientifique et science ouverte." In Communication scientifique et science ouverte, 173–82. De Boeck Supérieur, 2023. http://dx.doi.org/10.3917/dbu.annai.2023.01.0173.
Full textMesguich, Véronique. "Chapitre 6. L’analyse et la réutilisation de données." In Les bibliothèques face au monde des données, 111–26. Presses de l’enssib, 2023. http://dx.doi.org/10.4000/books.pressesenssib.17771.
Full textAdreani, Guillaume. "La constitution et la réutilisation des données entre bibliothèques." In Vers de nouveaux catalogues, 105. Éditions du Cercle de la Librairie, 2016. http://dx.doi.org/10.3917/elec.berme.2016.01.0105.
Full textBorgman, Christine L. "8. Le partage, la diffusion et la réutilisation des données." In Qu’est-ce que le travail scientifique des données ?, 253–93. OpenEdition Press, 2020. http://dx.doi.org/10.4000/books.oep.14777.
Full textGoodchild, Meghan, Shahira Khair, Amber Leahey, Kaitlin Newson, and Lee Wilson. "Partage et réutilisation des données de recherche au Canada : pratiques et politiques." In La gestion des données de recherche dans le contexte canadien: un guide pour la pratique et l'apprentissage. Western University, Western Libraries, 2023. http://dx.doi.org/10.5206/eixu2154.
Full textGoëta, Samuel. "Chapitre 6. « Données recherchent publics » : les politiques d’open data à l’épreuve de la réutilisation." In L’action publique saisie par ses « publics », 137–54. Presses universitaires du Septentrion, 2018. http://dx.doi.org/10.4000/books.septentrion.37527.
Full textReports on the topic "Réutilisation des données"
Knabl, Magdalena, Benjamin Rist, and Eberhard Morgenroth. Réutilisation de l’eau en Suisse. Besoins, opportunités, risques et recommandations dérivées à l’attention des responsables. Swiss Federal Institute of Aquatic Science and Technology, Eawag, December 2024. https://doi.org/10.55408/eawag:33722.
Full text