Big Data in Life Cycle Assessment

Cooper, Joyce; Noon, Michael; Jones, Chris; Kahn, Ezra; Arbuckle, Peter

doi:10.1111/jiec.12069

Cited by 49 publications

(34 citation statements)

References 4 publications

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“…Belaud et al (2019) designs intensive data and information systems to manage sustainable development in the frame of eco-industrial area. Cooper et al (2013) used big data to complete the background data. The background system consists of all other processes interacting directly with the foreground system.…”

Section: Introductionmentioning

confidence: 99%

Big data for agri-food 4.0: Application to sustainability management for by-products supply chain

Belaud

Prioux

Vialle

et al. 2019

Computers in Industry

204

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A B S T R A C TThe bioconversion of lignocellulosic biomass is a promising method for the production of bio-energy, biomolecules and biomaterials. Pretreatment of the lignocellulosic biomass is an essential step in this process. The choice of pretreatment process is a difficult one, and there are currently no clear criteria on which to base this choice. This project, with its sustainability and agri-food perspective, used environmental impacts to assess the various processes and their panels of technologies. The approach developed integrates big data, to improve sustainability management in supply chain design, with the aim of valorising agricultural waste. In five main steps, this approach combines concepts from industry 4.0, sustainability and the agri-food industry. We apply this approach to a case study in the domain of agricultural waste valorisation: the pretreatment of lignocellulosic biomass in the rice supply chain.

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Section: Introductionmentioning

confidence: 99%

Big data for agri-food 4.0: Application to sustainability management for by-products supply chain

Belaud

Prioux

Vialle

et al. 2019

Computers in Industry

204

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“…However, when the size of such unstructured data increases, the computational challenge to automate data processing and harmonization may become significant. An example related to industrial ecology (IE) is from Cooper and colleagues () discussing the role of big data in life cycle assessment (LCA). Data needed in LCA come from multiple sources in different formats.…”

Section: What Is Big Data?mentioning

confidence: 99%

“…In addition to virtual collaboration, big data and big data concepts have been discussed in the IE literature, such as for better measuring environmental footprints of human consumption (Hubacek et al ) and data challenges in LCA (Cooper et al ). Nevertheless, big data and the suite of analytical tools available for analyzing big data offer opportunities to address some long‐standing issues in IE or provide alternative approaches.…”

Section: What Can Big Data Bring To Industrial Ecology?mentioning

confidence: 99%

Big Data and Industrial Ecology

Cai

Liang

2015

J of Industrial Ecology

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“…Such complex data can aid IE practitioners in various ways: from facilitating virtual collaboration through Internet‐based platforms (Cooper et al. ; Davis et al. ; Kraines et al.…”

Section: Introductionmentioning

confidence: 99%

“…For example, recent advances in data compilation and modeling have produced large and complex datasets, containing country, product, and industry-specific data, that are difficult to understand without further data processing (Davis et al 2010;Dijkema et al 2015;Xu et al 2015). Such complex data can aid IE practitioners in various ways: from facilitating virtual collaboration through Internet-based platforms (Cooper et al 2013;Davis et al 2010;Kraines et al 2001) to the development of more realistic models, for instance, using user behavior data (Axtell et al 2008). Similarly, the increased detail and scope of environmentally extended input-output and life cycle assessment databases also challenge data exploration and coherent communication of results.…”

Section: Introductionmentioning

confidence: 99%

Interactive Visualization and Industrial Ecology: Applications, Challenges, and Opportunities

Vivanco

Hoekman

Fishman

et al. 2018

J of Industrial Ecology

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Summary The emergence of increasingly complex data in industrial ecology (IE) has caused scholarly interest in interactive visualization (IV). IV allows users to interact with data, aiding in processing and interpreting complex datasets, processes, and simulations. Consequently, IV can help IE practitioners communicate the complexities of their methods and results, shed light on the underlying research assumptions, and enable more transparent monitoring of data quality and error. This can significantly increase the reach and impact of research, promote transparency, reproducibility, and open science, as well as improve the clarity and presentation of IE research. A review of current IV applications reveals that, while data exploration has received some attention among IE practitioners, IV applications in scientific communication are clearly lacking. With the help of a working example, we explore the value of IV, discuss its operationalization, and highlight challenges that the IE community must face during IV uptake. Such challenges include technical and knowledge limitations, limits on user interaction, and implementation strategies. With these challenges in mind, we outline key aspects needed to lift the IE field to the forefront of scientific communication in the coming years. Among these, we draft the basic principles of a “Hub for Interactive Visualization in Industrial Ecology” (HIVE), a point of encounter where IE practitioners could find an array of data visualization tools that are geared toward IE datasets. IV is here to stay, and its inceptive stage presents many opportunities to IE practitioners to shape its operationalization and benefit from early adoption.

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Big Data in Life Cycle Assessment

Cited by 49 publications

References 4 publications

Big data for agri-food 4.0: Application to sustainability management for by-products supply chain

Big data for agri-food 4.0: Application to sustainability management for by-products supply chain

Big Data and Industrial Ecology

Interactive Visualization and Industrial Ecology: Applications, Challenges, and Opportunities

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