The Experts below are selected from a list of 217980 Experts worldwide ranked by ideXlab platform
Manuel Duarte Pinheiro - One of the best experts on this subject based on the ideXlab platform.
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NativeLCA - a systematic approach for the selection of environmental Datasets as Generic Data: application to construction products in a national context
The International Journal of Life Cycle Assessment, 2015Co-Authors: Jose Dinis Silvestre, Julie Hodková, Sébastien Lasvaux, Manuel Duarte PinheiroAbstract:PurposeThe aim of this paper is to propose guidelines for the selection of an accurate life cycle assessment (LCA) Dataset of building products to be used as Generic Data for a national context.MethodsThe guidelines are structured within a methodology, called NativeLCA. First, a review of available Datasets for construction products is presented such as Generic LCA and Environmental Product Declaration (EPD) Databases for both national (e.g. France, Germany, Spain etc.) and European context. Secondly, a method is proposed to choose appropriate Generic Datasets by means of a hybrid methodology. A meta-analysis is conducted in the first step on the sample of collected Datasets from the literature. When relevant, product-specific Data (EPD of the different producers) are averaged to represent an average Data or existing Generic Data are adapted to be more suitable for the context. Then, a Data quality assessment enables to rank the different Datasets according to the goal and scope of the study.Results and discussionThis study provides consistent guidelines that can be used by building LCA practitioners to select relevant Datasets depending on their goal and scope. A full case study for stone wool boards illustrates and demonstrates the applicability and usefulness of the proposed methodology, namely in the selection of a coherent Dataset as Generic Data for a national context. This work highlights the issues in terms of choice and adaptation of existing Data for a national context. Industry Data cannot be adapted due to confidentiality issues unlike unit process Generic Data. The use of Data quality indicators then helps to select the relevant Generic Data for each context according to user needs.ConclusionsWhile further efforts are needed to develop regional and sector-specific LCA Databases adapted for each national context, the proposed guidelines showed that the current use or adaptation of existing Data, if consistently done, can lead practitioners to increase the reliability of building LCA studies according to their goal and scope definition.
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nativelca a systematic approach for the selection of environmental Datasets as Generic Data application to construction products in a national context
International Journal of Life Cycle Assessment, 2015Co-Authors: Jose Dinis Silvestre, Julie Hodková, Sébastien Lasvaux, Jorge De Brito, Manuel Duarte PinheiroAbstract:Purpose The aim of this paper is to propose guidelines for the selection of an accurate life cycle assessment (LCA) Dataset of building products to be used as Generic Data for a national context.
Michael Zwicky Hauschild - One of the best experts on this subject based on the ideXlab platform.
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methodologies for social life cycle assessment
International Journal of Life Cycle Assessment, 2008Co-Authors: Andreas Jorgensen, Agathe Le Bocq, Liudmila Nazarkina, Michael Zwicky HauschildAbstract:Goal, Scope and Background. In recent years several different approaches towards Social Life Cycle Assessment (SLCA) have been developed. The purpose of this review is to compare these approaches in order to highlight methodological differences and general shortcomings. SLCA has several similarities with other social assessment tools, although, in order to limit the expanse of the review, only claims to address social impacts from an LCA-like framework are considered. Main Features. The review is to a large extent based on conference proceedings and reports, which are not all easily accessible, since very little has been published on SLCA in the open literature. The review follows the methodological steps of the environmental LCA (ELCA) known from the ISO 14044 standard. Results. The review reveals a broad variety in how the approaches address the steps of the ELCA methodology, particularly in the choice and formulation of indicators. The indicators address a wide variety of issues; some approaches focus on impacts created in the very close proximity of the processes included in the product system, whereas others focus on the more remote societal consequences. Only very little focus has been given to the use stage in the product life cycle. Another very important difference among the proposals is their position towards the use of Generic Data. Several of the proposals argue that social impacts are connected to the conduct of the company leading to the conclusion that each individual company in the product chain has to be assessed, whereas others claim that Generic Data can give a sufficiently accurate picture of the associated social impacts. Discussion. The SLCA approaches show that the perception of social impacts is very variable. An assessment focusing on social impacts created in the close proximity of the processes included in the product system will not necessarily point in the same direction as an assessment that focuses on the more societal consequences. This points toward the need to agree on the most relevant impacts to include in the SLCA in order to include the bulk of the situation. Regarding the use of Generic Data as a basis for the assessment, this obviously has an advantage over using site specific Data in relation to practicality, although many authors behind the SLCA ESS-Submission Editor: Dr. David Hunkeler
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methodologies for social life cycle assessment
International Journal of Life Cycle Assessment, 2008Co-Authors: Andreas Jorgensen, Agathe Le Bocq, Liudmila Nazarkina, Michael Zwicky HauschildAbstract:Goal, Scope and Background. In recent years several different approaches towards Social Life Cycle Assessment (SLCA) have been developed. The purpose of this review is to compare these approaches in order to highlight methodological differences and general shortcomings. SLCA has several similarities with other social assessment tools, although, in order to limit the expanse of the review, only claims to address social impacts from an LCA-like framework are considered. Main Features. The review is to a large extent based on conference proceedings and reports, which are not all easily accessible, since very little has been published on SLCA in the open literature. The review follows the methodological steps of the environmental LCA (ELCA) known from the ISO 14044 standard. Results. The review reveals a broad variety in how the approaches address the steps of the ELCA methodology, particularly in the choice and formulation of indicators. The indicators address a wide variety of issues; some approaches focus on impacts created in the very close proximity of the processes included in the product system, whereas others focus on the more remote societal consequences. Only very little focus has been given to the use stage in the product life cycle. Another very important difference among the proposals is their position towards the use of Generic Data. Several of the proposals argue that social impacts are connected to the conduct of the company leading to the conclusion that each individual company in the product chain has to be assessed, whereas others claim that Generic Data can give a sufficiently accurate picture of the associated social impacts. Discussion. The SLCA approaches show that the perception of social impacts is very variable. An assessment focusing on social impacts created in the close proximity of the processes included in the product system will not necessarily point in the same direction as an assessment that focuses on the more societal consequences. This points toward the need to agree on the most relevant impacts to include in the SLCA in order to include the bulk of the situation. Regarding the use of Generic Data as a basis for the assessment, this obviously has an advantage over using site specific Data in relation to practicality, although many authors behind the SLCA ESS-Submission Editor: Dr. David Hunkeler
Jose Dinis Silvestre - One of the best experts on this subject based on the ideXlab platform.
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NativeLCA - a systematic approach for the selection of environmental Datasets as Generic Data: application to construction products in a national context
The International Journal of Life Cycle Assessment, 2015Co-Authors: Jose Dinis Silvestre, Julie Hodková, Sébastien Lasvaux, Manuel Duarte PinheiroAbstract:PurposeThe aim of this paper is to propose guidelines for the selection of an accurate life cycle assessment (LCA) Dataset of building products to be used as Generic Data for a national context.MethodsThe guidelines are structured within a methodology, called NativeLCA. First, a review of available Datasets for construction products is presented such as Generic LCA and Environmental Product Declaration (EPD) Databases for both national (e.g. France, Germany, Spain etc.) and European context. Secondly, a method is proposed to choose appropriate Generic Datasets by means of a hybrid methodology. A meta-analysis is conducted in the first step on the sample of collected Datasets from the literature. When relevant, product-specific Data (EPD of the different producers) are averaged to represent an average Data or existing Generic Data are adapted to be more suitable for the context. Then, a Data quality assessment enables to rank the different Datasets according to the goal and scope of the study.Results and discussionThis study provides consistent guidelines that can be used by building LCA practitioners to select relevant Datasets depending on their goal and scope. A full case study for stone wool boards illustrates and demonstrates the applicability and usefulness of the proposed methodology, namely in the selection of a coherent Dataset as Generic Data for a national context. This work highlights the issues in terms of choice and adaptation of existing Data for a national context. Industry Data cannot be adapted due to confidentiality issues unlike unit process Generic Data. The use of Data quality indicators then helps to select the relevant Generic Data for each context according to user needs.ConclusionsWhile further efforts are needed to develop regional and sector-specific LCA Databases adapted for each national context, the proposed guidelines showed that the current use or adaptation of existing Data, if consistently done, can lead practitioners to increase the reliability of building LCA studies according to their goal and scope definition.
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nativelca a systematic approach for the selection of environmental Datasets as Generic Data application to construction products in a national context
International Journal of Life Cycle Assessment, 2015Co-Authors: Jose Dinis Silvestre, Julie Hodková, Sébastien Lasvaux, Jorge De Brito, Manuel Duarte PinheiroAbstract:Purpose The aim of this paper is to propose guidelines for the selection of an accurate life cycle assessment (LCA) Dataset of building products to be used as Generic Data for a national context.
Anike Kate - One of the best experts on this subject based on the ideXlab platform.
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lime Data lineage in the malicious environment
International Workshop on Security, 2014Co-Authors: M Ackes, Niklas Grimm, Anike KateAbstract:Intentional or unintentional leakage of confidential Data is undoubtedly one of the most severe security threats that organizations face in the digital era. The threat now extends to our personal lives: a plethora of personal information is available to social networks and smartphone providers and is indirectly transferred to untrustworthy third party and fourth party applications. In this work, we present a Generic Data lineage framework Lime for Data flow across multiple entities that take two characteristic, principal roles (i.e., owner and consumer). We define the exact security guarantees required by such a Data lineage mechanism toward identification of a guilty entity, and identify the simplifying non-repudiation and honesty assumptions. We then develop a novel accountable Data transfer protocol between two entities within a malicious environment by building upon oblivious transfer, robust watermarking, and signature primitives.
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lime Data lineage in the malicious environment
arXiv: Cryptography and Security, 2014Co-Authors: M Ackes, Niklas Grimm, Anike KateAbstract:Intentional or unintentional leakage of confidential Data is undoubtedly one of the most severe security threats that organizations face in the digital era. The threat now extends to our personal lives: a plethora of personal information is available to social networks and smartphone providers and is indirectly transferred to untrustworthy third party and fourth party applications. In this work, we present a Generic Data lineage framework LIME for Data flow across multiple entities that take two characteristic, principal roles (i.e., owner and consumer). We define the exact security guarantees required by such a Data lineage mechanism toward identification of a guilty entity, and identify the simplifying non repudiation and honesty assumptions. We then develop and analyze a novel accountable Data transfer protocol between two entities within a malicious environment by building upon oblivious transfer, robust watermarking, and signature primitives. Finally, we perform an experimental evaluation to demonstrate the practicality of our protocol.
Julie Hodková - One of the best experts on this subject based on the ideXlab platform.
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NativeLCA - a systematic approach for the selection of environmental Datasets as Generic Data: application to construction products in a national context
The International Journal of Life Cycle Assessment, 2015Co-Authors: Jose Dinis Silvestre, Julie Hodková, Sébastien Lasvaux, Manuel Duarte PinheiroAbstract:PurposeThe aim of this paper is to propose guidelines for the selection of an accurate life cycle assessment (LCA) Dataset of building products to be used as Generic Data for a national context.MethodsThe guidelines are structured within a methodology, called NativeLCA. First, a review of available Datasets for construction products is presented such as Generic LCA and Environmental Product Declaration (EPD) Databases for both national (e.g. France, Germany, Spain etc.) and European context. Secondly, a method is proposed to choose appropriate Generic Datasets by means of a hybrid methodology. A meta-analysis is conducted in the first step on the sample of collected Datasets from the literature. When relevant, product-specific Data (EPD of the different producers) are averaged to represent an average Data or existing Generic Data are adapted to be more suitable for the context. Then, a Data quality assessment enables to rank the different Datasets according to the goal and scope of the study.Results and discussionThis study provides consistent guidelines that can be used by building LCA practitioners to select relevant Datasets depending on their goal and scope. A full case study for stone wool boards illustrates and demonstrates the applicability and usefulness of the proposed methodology, namely in the selection of a coherent Dataset as Generic Data for a national context. This work highlights the issues in terms of choice and adaptation of existing Data for a national context. Industry Data cannot be adapted due to confidentiality issues unlike unit process Generic Data. The use of Data quality indicators then helps to select the relevant Generic Data for each context according to user needs.ConclusionsWhile further efforts are needed to develop regional and sector-specific LCA Databases adapted for each national context, the proposed guidelines showed that the current use or adaptation of existing Data, if consistently done, can lead practitioners to increase the reliability of building LCA studies according to their goal and scope definition.
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nativelca a systematic approach for the selection of environmental Datasets as Generic Data application to construction products in a national context
International Journal of Life Cycle Assessment, 2015Co-Authors: Jose Dinis Silvestre, Julie Hodková, Sébastien Lasvaux, Jorge De Brito, Manuel Duarte PinheiroAbstract:Purpose The aim of this paper is to propose guidelines for the selection of an accurate life cycle assessment (LCA) Dataset of building products to be used as Generic Data for a national context.
