Datafront Skill Surge: Practical applications & tools

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 8 will explore how circular economy principles are being implemented across different sectors, from manufacturing to agriculture, and how various tools and technologies are enabling businesses to embrace circular practices.

 

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

• Explore Practical Circular Economy Applications: Learn about real-world applications of circular economy practices across various sectors.
• Identify Key Tools for Circularity: Understand tools and technologies that support circular economy models, such as lifecycle assessment (LCA) software and material tracking systems.
• Enhance Resource Efficiency: Discuss how data can optimise resource use and minimise waste in practical settings.

 

Skills area and competencies

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

Skills Areas:

• Data Literacy in Circular Applications: Developing the ability to understand and apply data to assess the effectiveness of circular economy practices.
• Technical Proficiency with Circular Tools: Building skills in using lifecycle assessment tools, resource tracking software, and data analysis platforms to evaluate circular practices.
• Problem-Solving in Resource Efficiency: Applying data insights to address inefficiencies and improve resource allocation in circular economy systems.

Competencies:

• Analytical Competency in Sustainability Tools: Ability to interpret data from circular economy tools and assess their effectiveness.
• Strategic Decision-Making in Circular Models: Competence in using data and tools to make informed decisions that enhance circularity.
• Ethical and Environmental Responsibility: Understanding the ethical use of data in evaluating and improving circular practices for environmental benefits.

Pre-requisite

• Basic Understanding of Circular Economy Principles.
• Familiarity with Data Analysis Tools relevant to lifecycle assessment and resource tracking.
• Interest in Practical Sustainability Applications in industry.

 

Learning outcomes

• Utilise Tools for Circularity: Ability to use tools such as LCA software and material tracking systems to assess circular economy practices.
• Interpret Data for Practical Applications: Skills in evaluating data outputs to optimise resource use and reduce waste.
• Enhance Circular Economy Models: Understand how data-driven insights from practical tools can improve the efficiency of circular models.

 

Transferable skills

• Data Analysis: Developing skills in using data-driven tools to evaluate circular practices.
• Stakeholder Communication: Ability to explain data insights and practical applications in circular economy to industry stakeholders.
• Strategic Problem-Solving: Applying tools and data to design and implement sustainable, resource-efficient solutions.

 

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.