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Relevant bibliographies by topics / Model of provenance

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Academic literature on the topic 'Model of provenance'

Author: Grafiati

Published: 10 December 2022

Last updated: 31 July 2025

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Journal articles on the topic "Model of provenance"

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Stojnić, Srđan, S. Orlović, D. Ballian, et al. "Provenance by site interaction and stability analysis of European beech (Fagus sylvatica L.) provenances grown in common garden experiments." Silvae Genetica 64, no. 1-6 (2015): 133–47. http://dx.doi.org/10.1515/sg-2015-0013.

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AbstractFifteen provenances of European beech (Fagus sylvatica L.) were evaluated for stability and adaptability by height growth at four test sites in Bosnia and Herzegovina (1), Croatia (1) and Serbia (2). Provenance trials were established in spring 2007 by planting 2- and 3-yearold seedlings and arranged in a randomized complete block design. The data from seven 6- year-old and eight 5-year-old provenances were obtained in 2009 and analyzed separately. Finlay and Wilkinson’s regression analysis and Additive main effects and multiplicative interaction model (AMMI model) were used to assess

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Szaban, Jarosław, Tomasz Jelonek, Alicja Okińczyc, and Wojciech Kowalkowski. "Results of a 57-Year-Long Research on Variability of Wood Density of the Scots Pine (Pinus sylvestris L.) from Different Provenances in Poland." Forests 14, no. 3 (2023): 480. http://dx.doi.org/10.3390/f14030480.

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This research was conducted in the forests of Poland between 2019 and 2022. The aim was to study Scots pine provenances and compare the wood density variability among the various provenances growing on one experimental plot (in situ). The experiment was established in 1962 in the Zielonka Forest Division, Potasze Forest District. In 2019, five model trees from each provenance, which grew on the experimental plot, were chosen. In total, 40 trees were cut down, from which samples were collected in order to determine their wood density variability. The results indicate significant differences amo

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Lavadinovic, Vera, Ljubinko Rakonjac, Danijela Djunisijevic-Bojovic, Zoran Miletic, and Filip Jovanovic. "Variability of potassium concentration in the needles of Douglas-fir provenances." Bulletin of the Faculty of Forestry, no. 120 (2019): 97–116. http://dx.doi.org/10.2298/gsf1920097l.

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Douglas-fir is one of the most common conifer species in the forest plantations of Europe. The provenance test model is based on the analysis of the properties (growth, anatomical, physiological, chemical, mechanical and other properties) of Douglas-fir in order to justify the transfer of seeds from North America to the ecosystems of Serbia. This type of program has been implemented in Serbia on several locations using different Douglas-fir provenances. Given that the analysis of different physiological properties of trees is important for the introduction of specified provenances into habitat

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Funda, T., M. Lstibůrek, J. Klápště, I. Permedlová, and J. Kobliha. "Addressing spatial variability in provenance experiments exemplified in two trials with black spruce." Journal of Forest Science 53, No. 2 (2008): 47–56. http://dx.doi.org/10.17221/2135-jfs.

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Two exemplary black spruce (<i>Picea mariana</i> [Mill.] B.S.P.) provenance trials were analyzed using traditional and spatial techniques. The objective was to find out possible differences between these approaches in terms of both the resulting fit-statistics and the estimated mean heights of provenances. Further, the spatial model was consequently adjusted to treat global and extraneous sources of variation. As expected, models incorporating spatial variation provided a better fit to the data. Consequently, there was also a noticeable shift in ranking of individual provenances, w

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Can, Ozgu, and Dilek Yilmazer. "A novel approach to provenance management for privacy preservation." Journal of Information Science 46, no. 2 (2019): 147–60. http://dx.doi.org/10.1177/0165551519827882.

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Provenance determines the origin of the data by tracing and recording the actions that are performed on the data. Therefore, provenance is used in many fields to ensure the reliability and quality of data. In this work, provenance information is used to meet the security needs in information systems. For this purpose, a domain-independent provenance model is proposed. The proposed provenance model is based on the Open Provenance Model and Semantic Web technologies. The goal of the proposed provenance model is to integrate the provenance and security concepts in order to detect privacy violatio

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Wang, Jing, Youbin He, Hua Li, et al. "Synergistic Detrital Zircon U-Pb and REE Analysis for Provenance Discrimination of the Beach-Bar System in the Oligocene Dongying Formation, HHK Depression, Bohai Bay Basin, China." Journal of Marine Science and Engineering 13, no. 7 (2025): 1331. https://doi.org/10.3390/jmse13071331.

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The Oligocene Dongying Formation beach-bar system, widely distributed in the HHK Depression of the Bohai Bay Basin, constitutes a key target for mid-deep hydrocarbon exploration, though its provenance remains controversial due to complex peripheral source terrains. To address this, we developed an integrated methodology combining LA-ICP-MS zircon U-Pb dating with whole-rock rare earth element (REE) analysis, facilitating provenance studies in areas with limited drilling and heavy mineral data. Analysis of 849 high-concordance zircons (concordance >90%) from 12 samples across 5 wells reveale

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Sultana, Salmin, and Elisa Bertino. "A Distributed System for The Management of Fine-grained Provenance." Journal of Database Management 26, no. 2 (2015): 32–47. http://dx.doi.org/10.4018/jdm.2015040103.

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Existing provenance systems operate at a single layer of abstraction (workflow/process/OS) at which they record and store provenance. However, the provenance captured from different layers provides the highest benefit when integrated through a unified provenance framework. To build such a framework, a comprehensive provenance model able to represent the provenance of data objects with various semantics and granularity is the first step. In this paper, the authors propose a provenance model able to represent the provenance of any data object captured at any abstraction layer and present an abst

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Kim, In-Sik, Hae-Yun Kwon, Keun-Ok Ryu, and Wan Yong Choi. "Provenance by Site Interaction of Pinus densiflora in Korea." Silvae Genetica 57, no. 1-6 (2008): 131–39. http://dx.doi.org/10.1515/sg-2008-0020.

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Abstract Thirty-six provenances of Pinus densiflora were evaluated for stability and adaptability for height growth at 11 test sites in Korea. The data were obtained from measurements at age 6 and analyzed using linear regression model and AMMI (additive main effect and multiplicative interaction) model. There was significant provenance by site interaction effect (p < 0.011). The interaction term explained 7.1% of total variation. While the regression model accounted for 15.8% of GxE interaction term, the AMMI model accounted for 74.9% with four PCA values. Most of the provenances were not

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Li, Chunqiu, and Shigeo Sugimoto. "Provenance description of metadata application profiles for long-term maintenance of metadata schemas." Journal of Documentation 74, no. 1 (2018): 36–61. http://dx.doi.org/10.1108/jd-03-2017-0042.

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Purpose Provenance information is crucial for consistent maintenance of metadata schemas over time. The purpose of this paper is to propose a provenance model named DSP-PROV to keep track of structural changes of metadata schemas. Design/methodology/approach The DSP-PROV model is developed through applying the general provenance description standard PROV of the World Wide Web Consortium to the Dublin Core Application Profile. Metadata Application Profile of Digital Public Library of America is selected as a case study to apply the DSP-PROV model. Finally, this paper evaluates the proposed mode

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Jovanović, Filip, Vera Lavadinović, Ljubinko Rakonjac, Snežana Stajić, and Zoran Miletić. "Variability of potassium content in the needles of Douglas-fir provenances of Canadian origin." Sustainable Forestry: Collection, no. 81-82 (2020): 29–39. http://dx.doi.org/10.5937/sustfor2081029j.

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The provenance test model is based on the analysis of growth, anatomical, physiological, chemical, mechanical, and other properties of an allochthonous species to justify its transfer from the place of origin to new ecosystems. Douglas-fir is one of the most common allochthonous conifer species in the forest plantations of Europe. Given that the analysis of different physiological properties of trees is important for the introduction of specified provenances into new habitats, this paper presents the results of an investigation of the variability of potassium content in young Douglas-fir needl

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Dissertations / Theses on the topic "Model of provenance"

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Tang, Yaobin. "Butterfly -- A model of provenance." Worcester, Mass. : Worcester Polytechnic Institute, 2009. http://www.wpi.edu/Pubs/ETD/Available/etd-031309-095511/.

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Thakur, Amritanshu. "Semantic construction with provenance for model configurations in scientific workflows." Master's thesis, Mississippi State : Mississippi State University, 2008. http://library.msstate.edu/etd/show.asp?etd=etd-07312008-092758.

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Liu, Jun. "W7 MODEL OF PROVENANCE AND ITS USE IN THE CONTEXT OF WIKIPEDIA." Diss., The University of Arizona, 2011. http://hdl.handle.net/10150/145314.

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Data provenance refers to the lineage or pedigree of data, including information such as its origin and key events that affect it over the course of its lifecycle. In recent years, provenance has become increasingly important as more and more people are using data that they themselves did not generate. Tracking data provenance helps ensure that data provided by many different providers and sources can be trusted and used appropriately. Data provenance also has several other critical uses, including data quality assessment, generating data replication recipes, data security management, etc.One

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

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

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Amanqui, Flor Karina Mamani. "Using a provenance model and spatiotemporal information to integrate heterogeneous biodiversity semantic data." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-30012018-093704/.

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In the last few years, the Web of data is being rapidly populated with biodiversity data. However, when researchers need to retrieve, integrate, and visualize these data, they need to rely on semi-manual approaches. That is due to the fact that biodiversity repositories, such as GBIF, offer data as just strings in CSV format spreadsheets. There is no machine readable metadata that could add meaning (semantics) to data. Without this metadata, automatic solutions are impossible and labor intensive semi-manual approaches for data integration and visualization are unavoidable. To reduce this probl

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Miksa, Elizabeth J. "A model for assigning temper provenance to archaeological ceramics with case studies from the American Southwest." Diss., The University of Arizona, 1998. http://hdl.handle.net/10150/288805.

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Well-designed provenance studies form the basis from which questions of human economy and behavior are addressed. Pottery is often the subject of such studies, requiring geological and archaeological evidence to establish patterns of ceramic economy. A generalized theoretical and methodological framework for provenance studies is presented, followed by specific considerations for ceramic provenance studies. Four main sources of variation affect pottery composition: geological distribution of resources, geological resource variability, differential economic factors affecting resource use, and t

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Valente, Wander Antunes Gaspar. "SciProv: uma arquitetura para a busca semântica em metadados de proveniência no contexto de e-Science." Universidade Federal de Juiz de Fora (UFJF), 2011. https://repositorio.ufjf.br/jspui/handle/ufjf/4417.

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Submitted by isabela.moljf@hotmail.com (isabela.moljf@hotmail.com) on 2017-05-05T13:06:54Z No. of bitstreams: 1 wanderantunesgasparvalente.pdf: 18725317 bytes, checksum: 3ee881993096b45e72f9522887e7e2e0 (MD5)<br>Approved for entry into archive by Adriana Oliveira (adriana.oliveira@ufjf.edu.br) on 2017-05-17T13:37:14Z (GMT) No. of bitstreams: 1 wanderantunesgasparvalente.pdf: 18725317 bytes, checksum: 3ee881993096b45e72f9522887e7e2e0 (MD5)<br>Made available in DSpace on 2017-05-17T13:37:14Z (GMT). No. of bitstreams: 1 wanderantunesgasparvalente.pdf: 18725317 bytes, checksum: 3ee881993096b45

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Ma, Yuxin. "Empirical and Mechanistic Modelling for Process Understanding in Digital Soil Mapping." Thesis, The University of Sydney, 2019. https://hdl.handle.net/2123/21413.

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Empirical prediction of soil properties coupled with an understanding of soil processes, can uncover the complexity of the soil system. Digital soil mapping (DSM) has revolutionized the way soil information is delivered. While empirical DSM has greatly improved the quantitative prediction, we should be able to incorporate our physical and mechanistic understanding of the processes. Likewise, we should be able to use empirical knowledge to inform process-based models. This thesis delivers mechanistic and empirical models to improve the understanding of soil genesis and mapping of soil functiona

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Nel, Daniel Hermanus Greyling. "Performative digital asset management: To propose a framework and proof of concept model that effectively enables researchers to document, archive and curate their non-traditional research data." Thesis, Queensland University of Technology, 2015. https://eprints.qut.edu.au/84761/3/Daniel_Nel_Exegesis.pdf.

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This cross disciplinary study was conducted as two research and development projects. The outcome is a multimodal and dynamic chronicle, which incorporates the tracking of spatial, temporal and visual elements of performative practice-led and design-led research journeys. The distilled model provides a strong new approach to demonstrate rigour in non-traditional research outputs including provenance and an 'augmented web of facticity'.

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Saghafi, Salman. "A Framework for Exploring Finite Models." Digital WPI, 2015. https://digitalcommons.wpi.edu/etd-dissertations/458.

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This thesis presents a framework for understanding first-order theories by investigating their models. A common application is to help users, who are not necessarily experts in formal methods, analyze software artifacts, such as access-control policies, system configurations, protocol specifications, and software designs. The framework suggests a strategy for exploring the space of finite models of a theory via augmentation. Also, it introduces a notion of provenance information for understanding the elements and facts in models with respect to the statements of the theory. The primary mathema

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Books on the topic "Model of provenance"

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Liu, Qing. Data Provenance and Data Management in eScience. Springer Berlin Heidelberg, 2013.

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Ashton, T. L. The Madonna Model,: A Tale of Doubtful Provenance. CreateSpace Independent Publishing Platform, 2018.

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Liu, Qing, Quan Bai, and Stephen Giugni. Data Provenance and Data Management in eScience. Springer, 2012.

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Liu, Qing, Quan Bai, Darrell Williamson, Stephen Giugni, and Johnn Taylor. Data Provenance and Data Management in EScience. Springer Berlin / Heidelberg, 2014.

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Glavic, Boris. Data Provenance: Origins, Applications, Algorithms, and Models. Now Publishers, 2021.

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Liu, Huan, Geoffrey Barbier, Zhuo Feng, and Pritam Gundecha. Provenance Data in Social Media. Springer International Publishing AG, 2013.

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Provenance Data in Social Media. Morgan & Claypool Publishers, 2013.

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Liu, Huan, Geoffrey Barbier, Zhuo Feng, and Pritam Gundecha. Provenance Data in Social Media. Morgan & Claypool Publishers, 2013.

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Konstan, David. Comedy and the Athenian Ideal. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198748472.003.0006.

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New Comedy was a Panhellenic phenomenon. It may be that a performance in Athens was still the acme of a comic playwright’s career, but Athens was no longer the exclusive venue of the genre. Yet Athens, or an idealized version of Athens, remained the setting or backdrop for New Comedy, whatever its provenance or intended audience. New Comedy was thus an important vehicle for the dissemination of the Athenian polis model throughout the Hellenistic world, and it was a factor in what has been termed ‘the great convergence’. The role of New Comedy in projecting an idealized image of the city-state

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Seneviratne, Oshani W., Leslie F. Sikos, and Deborah L. McGuinness. Provenance in Data Science: From Data Models to Context-Aware Knowledge Graphs. Springer International Publishing AG, 2021.

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Book chapters on the topic "Model of provenance"

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Taylor, Kerry, Robert Woodcock, Susan Cuddy, Peter Thew, and David Lemon. "A Provenance Maturity Model." In IFIP Advances in Information and Communication Technology. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15994-2_1.

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Schreiber, Andreas, Miriam Ney, and Heinrich Wendel. "The Provenance Store prOOst for the Open Provenance Model." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34222-6_26.

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Sultana, Salmin, and Elisa Bertino. "A Comprehensive Model for Provenance." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34222-6_27.

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Sultana, Salmin, and Elisa Bertino. "A Comprehensive Model for Provenance." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33999-8_15.

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Zhao, Yong, Michael Wilde, and Ian Foster. "Applying the Virtual Data Provenance Model." In Provenance and Annotation of Data. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11890850_16.

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Buneman, Peter, Adriane Chapman, James Cheney, and Stijn Vansummeren. "A Provenance Model for Manually Curated Data." In Provenance and Annotation of Data. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11890850_17.

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Zhong, Han, Jianhui Chen, Taihei Kotake, Jian Han, Ning Zhong, and Zhisheng Huang. "Developing a Brain Informatics Provenance Model." In Lecture Notes in Computer Science. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02753-1_44.

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Curcin, Vasa, Roxana Danger, Wolfgang Kuchinke, Simon Miles, Adel Taweel, and Christian Ohmann. "Provenance Model for Randomized Controlled Trials." In Data Provenance and Data Management in eScience. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-29931-5_1.

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Moreau, Luc, Juliana Freire, Joe Futrelle, Robert E. McGrath, Jim Myers, and Patrick Paulson. "The Open Provenance Model: An Overview." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89965-5_31.

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Bowers, Shawn, Timothy McPhillips, Bertram Ludäscher, Shirley Cohen, and Susan B. Davidson. "A Model for User-Oriented Data Provenance in Pipelined Scientific Workflows." In Provenance and Annotation of Data. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11890850_15.

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Conference papers on the topic "Model of provenance"

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Reynolds, Owen, Antonio García-Domínguez, and Nelly Bencomo. "Automated provenance graphs for models@run.time." In MODELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems. ACM, 2020. http://dx.doi.org/10.1145/3417990.3419503.

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Groth, Paul, Ewa Deelman, Gideon Juve, Gaurang Mehta, and Bruce Berriman. "Pipeline-centric provenance model." In the 4th Workshop. ACM Press, 2009. http://dx.doi.org/10.1145/1645164.1645168.

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Leschert, Duane, and Pamela Mclean. "Power system model data provenance." In 2015 IEEE/IAS 51st Industrial & Commercial Power Systems Technical Conference (I&CPS). IEEE, 2015. http://dx.doi.org/10.1109/icps.2015.7266421.

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Soeldner, Wolfgang, Tanja Auge, Gunnar Bali, et al. "Provenance model for Lattice QCD." In European network for Particle physics, Lattice field theory and Extreme computing. Sissa Medialab, 2024. http://dx.doi.org/10.22323/1.451.0038.

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Wettig, Tilo, Tanja Auge, Gunnar Bali, et al. "Provenance model for Lattice QCD." In The 40th International Symposium on Lattice Field Theory. Sissa Medialab, 2024. http://dx.doi.org/10.22323/1.453.0159.

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Liu, Yong, Joe Futrelle, James Myers, Alejandro Rodriguez, and Rob Kooper. "A provenance-aware virtual sensor system using the Open Provenance Model." In 2010 International Symposium on Collaborative Technologies and Systems. IEEE, 2010. http://dx.doi.org/10.1109/cts.2010.5478496.

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Reynolds, Owen James, Antonio García-Domínguez, and Nelly Bencomo. "Automated Provenance Collection at Runtime as a Cross-Cutting Concern." In 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2023. http://dx.doi.org/10.1109/models-c59198.2023.00057.

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Campagna, Daniel Prett, Altigran Soares Da Silva, and Vanessa Braganholo. "Achieving GDPR Compliance through Provenance: An Extended Model." In XXXV Simpósio Brasileiro de Banco de Dados. Sociedade Brasileira de Computação - SBC, 2020. http://dx.doi.org/10.5753/sbbd.2020.13621.

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The approval of the General Data Protection Regulation (GDPR) brought a revolution in the way we treat data produced in digital media. The GDPR increases individuals’ participation in the treatment of their data, and it also introduces technical challenges, whose failure can lead to a fine of 4% of the organization’s annual revenue. Among many approaches that aim to contribute to the solutions of challenges introduced by GDPR, there is a research branch promoting the use of data provenance as a means to make transparent the increasingly complex workflows of systems. However, existing provenanc

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Park, Jaehong, Dang Nguyen, and Ravi Sandhu. "A provenance-based access control model." In 2012 Tenth Annual International Conference on Privacy, Security and Trust (PST). IEEE, 2012. http://dx.doi.org/10.1109/pst.2012.6297930.

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Mei, Songzhu, Cong Liu, Qinglin Wang, and Huayou Su. "Model Provenance Management in MLOps Pipeline." In ICCDE 2022: 2022 The 8th International Conference on Computing and Data Engineering. ACM, 2022. http://dx.doi.org/10.1145/3512850.3512861.

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Reports on the topic "Model of provenance"

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Roberts, Andrew, Elizabeth Hunke, Bonnie Brown, and Nicole Jeffery. Arctic Domain Awareness Center (ADAC) Marine Spill Modeling Working Group: Sea Ice Model Provenance. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1762724.

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Ielpi, A., R. H. Rainbird, and W. J. Davis. Record of Precambrian orogenic unroofing preserved in fluvial strata of western Nunavut. Natural Resources Canada/CMSS/Information Management, 2024. http://dx.doi.org/10.4095/332496.

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Fluvial sandstone in the Kilohigok and Elu basins of western Nunavut record deposition related to the amalgamation and tenure of the Nuna supercontinent. The ca. 1.9 Ga Burnside River Formation was sourced by erosional unroofing of the nearly coeval Thelon Orogen, about 250 km away, in a regime of crustal flexure. This proximally sourced sandstone contains abundant clustered channel forms that point to high-magnitude discharge and sediment yield in weakly mobile channels. By comparison, the ca. 1.6 Ga Ellice Formation was sourced by the erosional unroofing of the ca. 1.8 Ga Trans-Hudson Orogen

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Kull, S. J., G. J. Rampley, S. Morken, J. M. Metsaranta, E. T. Neilson, and W. A. Kurz. Operational-scale Carbon Budget Model of the Canadian Forest Sector (CBM-CFS3) version 1.2: user’s guide. Natural Resources Canada/CMSS/Information Management, 2024. https://doi.org/10.4095/st000013.

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Le Modèle du bilan du carbone du secteur forestier canadien (MBC-SFC3), version 1.2 présenté dans ce guide d’utilisation a été développé afin de répondre aux besoins de comptabilité du carbone forestier à l’échelle opérationnelle qu’ont les aménagistes et analystes forestiers à travers le Canada. Le MBC-SFC3 est un cadre de modélisation à l’échelle du peuplement et du paysage qui peut servir à la simulation des dynamiques des stocks de carbone forestier comme requis par la Convention-Cadre des Nations Unies sur les Changements Climatiques. Il se conforme aux méthodes d’estimations citées par l

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Langlais, Pierre-Carl. Uses of Open Science. Comité pour la science ouverte, 2024. https://doi.org/10.52949/67.

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Contrary to common expectations, 65-90% of the audience of open science platforms comes from non-academics. New research has shown that the open science movement has largely expanded the social, economic and cultural scope of scientific research. Regular users include students, non-academic professionals or private citizens. Private and public structures extensively rely on open research to create new innovations and better document existing practices or products. Significant professional uses of academic research has been attested in numerous sectors such as the aircraft industry, banking, in

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