Datafront Skill Surge: Leveraging data for circular practices

Course description

What do we mean when we talk about administrative data? Why is administrative data considered such a powerful tool?

Routinely collected administrative data captures interactions across the entire population, offering an unparalleled breadth and depth of information.

This on-demand series aims to equip researchers with the knowledge and skills to harness data for societal and sustainable change. This series covers important topics such as the use of administrative data in policymaking, circular economy models, climate resilience, and the impact of digital media on behaviour, with emphasis on the importance of interdisciplinary collaboration and innovative strategies to address global challenges.

Participants will gain insights from experts, study case studies, and explore practical examples that illustrate how data-driven approaches and emerging technologies are transforming urban planning, agriculture, and health – that will empower researchers to shape the future of the data landscape!

• Session 7 will explore how data-driven approaches are helping companies optimise resource use, improve recycling processes, and ensure that materials remain in circulation.

 

Learning mode

On-demand, self-paced 

 

Who should attend

This course is intended for:

• Data Analysts and Researchers: Those working with administrative or big data who want to deepen their understanding of its characteristics and uses.
• Policymakers and Government Officials: Decision-makers who rely on data to shape public policies.
• Public Sector Managers: Managers in government institutions seeking to optimise data usage for service improvements.
• Health and Social Care Professionals: Individuals looking to use data for improving service delivery and outcomes.
• Urban Planners and Public Health Professionals: Individuals interested in using administrative data to inform planning and health policies.

 

Aims and objectives

• Understand Data-Driven Circular Practices: Explore how data can drive more effective circular economy practices, including reducing waste, reusing materials, and optimising recycling processes.
• Identify Key Data Metrics in Circular Models: Learn the specific types of data and metrics used to measure circularity and sustainability impacts.
• Explore the Benefits of Data Integration: Discuss how integrating data across various stages of the product lifecycle can enhance sustainability efforts.

 

Skills area and competencies

Based on the Datacise Open Learning framework, the relevant skills and competencies for this video include:

Skills:

• Analytical Competency for Sustainability: Ability to analyse data on resource flows, waste, and material reuse to optimise circular processes.
• Strategic Data Application: Competence in leveraging data to create actionable insights for improving circular models in various sectors.
• Ethical Data Use and Sustainability Awareness: Understanding ethical considerations in collecting and using data to drive circular practices that benefit the environment.

Competencies:

• Analytical Competency for Sustainability: Ability to analyse data on resource flows, waste, and material reuse to optimise circular processes.
• Strategic Data Application: Competence in leveraging data to create actionable insights for improving circular models in various sectors.
• Ethical Data Use and Sustainability Awareness: Understanding ethical considerations in collecting and using data to drive circular practices that benefit the environment.

 

Pre-requisite

• Basic Knowledge of Circular Economy Concepts and sustainability.
• Familiarity with Data Analysis Tools and understanding of key metrics in sustainability.
• Interest in Sustainable Business Models and resource optimisation.

 

Learning outcomes

• Identify Data-Driven Circular Practices: Ability to pinpoint specific areas in circular models where data can be leveraged for efficiency.
• Apply Data to Measure Circular Metrics: Skills in using data to track circular economy metrics such as waste reduction and material reuse.
• Communicate Data Insights for Circularity: Effectively communicate how data supports circular practices to stakeholders across various industries.

 

Transferable skills

• Data Analysis and Application: Gaining skills in using data insights to optimise circular economy practices.
• Stakeholder Engagement: Ability to convey data insights on circular practices to stakeholders for enhanced understanding and support.
• Strategic Problem-Solving: Using data-driven strategies to identify and address sustainability challenges in the circular economy.

 

Assessment

Multiple choice quiz to self-check understanding. 

 

This training content was originally developed and produced by Professor Adam Chee, Datacise Education Lead at Swansea University, with narration enhanced by advanced text-to-speech technology.