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<p>Life cycle assessment (LCA) is a method that evaluates the environmental impact of products, technologies or services across their life cycles. LCA data record the inputs and outputs of products and processes over their lifespan. However, owing to inconsistent methodologies and limited compatibility across tools and formats, LCA data face challenges related to quality and interoperability. In this Review, we discuss approaches for LCA data harmonization. A unified LCA data system can help to streamline data management and sharing, and better support decision-making. Through collaborative efforts and the integration of artificial intelligence and blockchain technologies, it might also be possible to create a more integrated LCA data system. For instance, open-source tools can contribute to easier access and transparency in LCA data. Establishing unified rules, methods and infrastructures to develop interoperable databases can help to achieve broader and more effective LCAs.</p>

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Addressing critical challenges towards a robust data system for life cycle assessment

  • 期刊论文

  • 发表日期：

    2025年10月3日

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  • Changqing Xu,
  • Tianyu Jia,
  • Jianchuan Qi,
  • Zimeng Cai,
  • Ruirui Zhang,
  • Ruoxi Xiong,
  • Huimin Chang,
  • Xiaohui Lu,
  • Nan Li,
  • Jinping Tian,
  • Kebin He,
  • Ming Xu

摘要

Life cycle assessment (LCA) is a method that evaluates the environmental impact of products, technologies or services across their life cycles. LCA data record the inputs and outputs of products and processes over their lifespan. However, owing to inconsistent methodologies and limited compatibility across tools and formats, LCA data face challenges related to quality and interoperability. In this Review, we discuss approaches for LCA data harmonization. A unified LCA data system can help to streamline data management and sharing, and better support decision-making. Through collaborative efforts and the integration of artificial intelligence and blockchain technologies, it might also be possible to create a more integrated LCA data system. For instance, open-source tools can contribute to easier access and transparency in LCA data. Establishing unified rules, methods and infrastructures to develop interoperable databases can help to achieve broader and more effective LCAs.