2011
DOI: 10.1007/978-3-642-22285-6_50
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Conceptual Model Enhancing Accessibility of Data from Cancer–Related Environmental Risk Assessment Studies

Abstract: Abstract. This paper proposes conceptual model which can be used to facilitate the discovery, integration and analysis of environmental data in cancer-related risk studies. Persistent organic pollutants were chosen as a model because of their persistence, bioaccumulation potential and genotoxicity. Part dealing with cancer risk is primarily focused on population-based observations encompassing a wide range of epidemiologic studies, from local investigations to national cancer registries. The proposed model ado… Show more

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Cited by 2 publications
(4 citation statements)
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“…We anticipate that general epidemiology data about these serious diseases and related population risks should be freely available to everybody in the Czech Republic [2]. Another ambition of this web portal is to provide relevant information about tumour epidemiology in the Czech Republic abroad [3].…”
Section: System For Visualizing Oncological Datamentioning
confidence: 99%
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“…We anticipate that general epidemiology data about these serious diseases and related population risks should be freely available to everybody in the Czech Republic [2]. Another ambition of this web portal is to provide relevant information about tumour epidemiology in the Czech Republic abroad [3].…”
Section: System For Visualizing Oncological Datamentioning
confidence: 99%
“…This data was provided from the Czech Statistical Office (CSU) 2 Information services of the SVOD portal will be further developed, among others on the basis of user suggestions and requirements. The main goal is to extend the information service in the area of population risk analyses in relation with available environmental data and other external risk factors (like the cooperation with above mentioned INCHEMBIOL project).…”
Section: System For Visualizing Oncological Datamentioning
confidence: 99%
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“…It is therefore important to strictly define data structure and code lists to ensure reliability of all collected and analysed data and provide detailed guidance and support to all users participating in the data collection process. Furthermore, sufficiently complex conceptual models, advancing development of formal ontologies for environmental and epidemiological data acquisition systems are needed [1,2].…”
Section: Introductionmentioning
confidence: 99%