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Data Group

IER Data Group.

Welcome to the IER Employment Data Group, where we lead in evaluating, analysing and managing Big Data and other sources of information for employment and labour market research. Adapting to evolving data needs, we continuously refine our strategies and augment our datasets to meet project demands.

At the forefront of data management, we enhance processes using emerging technologies and methodologies to remain current with industry trends. We support projects such as the Standard Skills Classification using locally run Large Language Models such as Llama 3Link opens in a new window. With a commitment to excellence and innovation, the IER Data Group drives the research agenda forward by using the power of data and technology. Explore our projects below:

Patent Data

IER staff are experts in harnessing the power of cutting-edge Large Language Models. Using these technologies they have transformed raw patent information into data that yields valuable insights about technologies and skills, enabling a deeper understanding and strategic analysis of the information.

Recent work on emerging AI technologies highlights the need for enhanced awareness and education among employers and investors about required skills and likely in-demand technologies.

Vacancy Data

The IER has meticulously curated a local vacancy dataset, utilising the SOC2020 system for classification. This robust dataset has been refined involving manual coding of job titles, which in turn has informed the development of a machine-learning model precise to the four-digit SOC2020 level. Additionally, the CASCOT Link opens in a new windowsystem (developed by the IER) has been employed to enhance the accuracy of this coding process.

Skills Taxonomy

As part of the Skills Taxonomy projectLink opens in a new window, we are using AI to assist in the construction of a Standard Skills Classification for the UK. For example, we use AI techniques to validate task statements, cluster statements by meaning, and extract tasks from job vacancy data.

Green Jobs

The IER has undertaken several projects in the area of green jobs and created a GreenSOC (based on SOC2020). Researchers are now using AI techniques to experiment with extracting green skills from job descriptions to develop this work further.

Industry 5.0

Industry 5.0, as defined by the European Commission, represents a significant departure from traditional industrial models, placing a strong emphasis on societal well-being alongside productivity and efficiency metrics. It underscores the importance of industry in promoting resilience and sustainability while prioritising the welfare of workers throughout the production process (European Commission, 2023).


The IER has played an important part in the development and revision of the Standard Occupational Classification at UK and EU levels and has created and continues to develop the CASCOT software for computer-assisted occupational coding.

Two versions of CASCOT are available. The first is the Cascot-desktop version, purchasable for both Mac and PC. The second is a web version, which uses the same coding engine as the desktop version but is limited in its ability to code large files and save results.


The IER has developed numerous interactive dashboards, employing a range of web platforms and programming languages. Their use of diverse technologies allows them to tailor each dashboard to the specific needs of their projects.

The IER provide dynamic and user-friendly interfaces for data visualisation and interaction, enhancing the user experience and facilitating effective data analysis.

For Enquiries

Dr Jeisson Cardenas-Rubio (Senior Research Fellow)

Rosie Day (Computing Officer)

Luke Bosworth (Senior Project Assistant)