Lecture

Data Quality in Life Cycle Assessment

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In course

ENV-370: Environmental system analysis and assessment

Les enjeux environnementaux doivent être abordés de façon systémique. L'Analyse du Cycle de Vie (ACV) et l'Analyse de Flux de Matière (AFM) sont des méthodes permettant d'évaluer de façon globale les performances environnementales des produits, des service ...

Description

This lecture covers the importance of data quality in Life Cycle Assessment (LCA), focusing on inventory data format, control, and measurement procedures. It explains the criteria for defining data quality, including geographic, temporal, and technological aspects. The lecture also delves into uncertainty factors, such as sample size, reliability, and completeness, and their application to the quality matrix. Additionally, it discusses the calculation of a quality index and the Data Quality Rating (DQR) system. The presentation emphasizes the significance of transparency, reliability, and expert review in life cycle inventories, as well as the impact transfer and allocation rules in LCA.

Instructors (3)

Claudia Rebeca Binder Signer

Claudia R. Binder, a Swiss, Canadian and Colombian citizen, was born in Montreal and spent most of her childhood in Switzerland and Colombia. She studied at ETH Zurich from 1985 to 1996, earning a degree in biochemistry and then a PhD in environmental sciences. After conducting her post-doctoral research at the University of Maryland in the US from 1996 to 1998, she returned to Switzerland and took a position as a senior research scientist at ETH Zurich, studying the interaction between human and environmental systems at the Institute for Natural and Social Science Interface. In 2006, Binder joined the University of Zurich as an assistant professor in the Department of Geography, and in 2009 moved to the University of Graz in Austria where she served as a full professor of systems science. In 2011, she took a position at the University of Munich’s Department of Geography as a full professor of human-environment relations. Binder joined EPFL in March 2016 and set up the Laboratory for Human-Environment Relations in Urban Systems (HERUS) at ENAC; she also holds the La Mobilière Chair on Urban Ecology and Sustainable Living. Her research involves analyzing, modelling and assessing the transition of urban systems towards sustainability. She looks in particular at how we can better understand the dynamics of urban metabolism, what characterizes a sustainable city, and what drives and hinders transformation processes. She does so by combining knowledge from social, natural and data science. Her research focuses on food, energy, and sustainable living and transport in urban systems. In Switzerland, Binder was appointed to the Research Council, Programs Division of the Swiss National Science Foundation (SNSF) in 2016 and serves on the Steering Committee of the SNSF’s National Research Program 71, “Managing Energy Consumption” and the Swiss Competence Centers for Energy Research (SCCER). She is also a member of the Steering Board on Sustainability Research for the Swiss Academies of Arts and Sciences. In 2019, she was elected as a member of the University Council of the University of Munich (LMU). At EPFL, Binder is the academic director of Design Together, a cross-disciplinary teaching initiative. She was appointed to the management team of the Energy Center in 2018 and as head of the working group on EPFL’s energy and sustainability strategy in 2019.

Aristide Henri Roger Athanassiadis

Aristide has a joint-PhD in Urbanism from the Université Libre de Bruxelles and The University of Melbourne on the topic of comprehensive urban environmental assessments. Since 2018, he was co-Chair of Circular Economy and Urban Metabolism at the Université Libre de Bruxelles where he advised local administrations on the regional circular economy plan and facilitated exchanges between researchers, policy makers and practitioners in order to develop projects that helped Brussels' economy and metabolism transition towards a more circular state. During the last years, he has collaborated and worked with/for several universities, research centres, environmental administrations, NGOs, youth organisations and consultancy firms on a great variety of projects around the topics of urban metabolism and circular economy. Finally, Aristide co-created the non-profit organisation and open-source initiative Metabolism of Cities (www.metabolismofcities.org) that aims to bring to create, share and apply urban metabolism knowledge, in policy and practice.

Official source

Related concepts (32)

Quality assurance

Quality assurance (QA) is the term used in both manufacturing and service industries to describe the systematic efforts taken to assure that the product(s) delivered to customer(s) meet with the contractual and other agreed upon performance, design, reliability, and maintainability expectations of that customer. The core purpose of Quality Assurance is to prevent mistakes and defects in the development and production of both manufactured products, such as automobiles and shoes, and delivered services, such as automotive repair and athletic shoe design.

Data quality

Data quality refers to the state of qualitative or quantitative pieces of information. There are many definitions of data quality, but data is generally considered high quality if it is "fit for [its] intended uses in operations, decision making and planning". Moreover, data is deemed of high quality if it correctly represents the real-world construct to which it refers. Furthermore, apart from these definitions, as the number of data sources increases, the question of internal data consistency becomes significant, regardless of fitness for use for any particular external purpose.

Software quality

In the context of software engineering, software quality refers to two related but distinct notions: Software's functional quality reflects how well it complies with or conforms to a given design, based on functional requirements or specifications. That attribute can also be described as the fitness for purpose of a piece of software or how it compares to competitors in the marketplace as a worthwhile product. It is the degree to which the correct software was produced.

Reliability engineering

Reliability engineering is a sub-discipline of systems engineering that emphasizes the ability of equipment to function without failure. Reliability describes the ability of a system or component to function under stated conditions for a specified period of time. Reliability is closely related to availability, which is typically described as the ability of a component or system to function at a specified moment or interval of time. The reliability function is theoretically defined as the probability of success at time t, which is denoted R(t).

Quality management

Quality management ensures that an organization, product or service consistently functions well. It has four main components: quality planning, quality assurance, quality control and quality improvement. Quality management is focused not only on product and service quality, but also on the means to achieve it. Quality management, therefore, uses quality assurance and control of processes as well as products to achieve more consistent quality. Quality control is also part of quality management.

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