Executive Summary
Introduction: The global shift towards a circular economy aims to optimize resource use, minimize waste, and promote sustainable growth. Monitoring this transition is vital, and open data presents itself as a pivotal tool. This research explores the potential of open data in monitoring circular economy objectives, focusing on electric vehicle batteries.
Research Objective and Methodology: The study's primary goal was to uncover the potential of open datasets for monitoring circular economy goals. A framework was developed, drawing from existing literature and expert insights. This framework was then applied to the context of Electric Vehicle (EV) batteries, utilizing three distinct datasets. Validation interviews further refined the framework and the insights from the EV battery case study.
Conceptual Framework: The research introduced a comprehensive framework designed to evaluate the potential of open datasets in monitoring circular economy objectives. This framework was meticulously crafted by integrating insights from existing literature and expert opinions. Structured around the pivotal dimensions of open data attributes and circular economy principles, the framework delves into aspects such as data accessibility, quality, usability, material flows, resource evaluation, and stakeholder engagement. Serving as a robust tool, the framework offers a systematic approach to assess the compatibility, depth, and versatility of open datasets in the context of the circular economy, ensuring a holistic analysis that bridges the gap between data transparency and sustainable practices.
Case of Electric Vehicle Batteries: The case study on electric vehicle batteries provided a practical lens to test the framework. Three datasets from different sources, namely RDW, Eurostat, and the BatteryPass, were analyzed. The datasets revealed insights into material flows, resource consumption, and environmental impacts associated with the EV battery ecosystem. The RDW dataset, for instance, highlighted the importance of tracking at the vehicle level, while the BatteryPass project showcased potential in monitoring battery lifespans and end-of-life scenarios. The case study illuminated the framework's applicability, revealing usability, opportunities and constraints in the datasets.
Discussion: The research employed mixed methods tailored to each phase. A literature review identified key attributes for analysis, while expert interviews filled gaps overlooked in the literature. The framework was structured around the key dimensions of open data and circular economy principles. The open data division examined data accessibility, quality, and usability. The circular economy division delved into material flows, resource evaluation, product lifespan, end-of-life considerations, and stakeholder engagement.
Conclusion: The research culminated in a comprehensive framework for evaluating open data's potential in circular economy monitoring. The framework's elements spanned both open data attributes and circular economy dimensions. The methodology integrated these elements, refined through expert interviews, and validated using the electric vehicle battery case study. Practical contributions included guidance for governments and policymakers, insights for industries, and a focus on stakeholder engagement. Future research directions include enhancing the framework's comprehensiveness, creating an interactive catalog platform for open datasets, and broadening its scope.
The research journey unveiled the intricate relationship between open data and circular economy monitoring. The developed framework, validated through the electric vehicle battery case study, stands as a testament to the synergy between academic rigor and practical applicability. However, the journey is ongoing, with the identified limitations paving the way for future exploration. The potential of open data, when effectively harnessed, can revolutionize sustainability approaches, driving the world towards a more circular future. This research serves as a foundational step, illuminating the path for future endeavors in open data and circular economy monitoring.