About

The TPI Productivity Lab

Founded in 2022, The TPI Productivity Lab is the The Productivity Institute’s data science centre of excellence, the “engine room” for data-related activities. It is the Institute’s scientific platform for collecting, disseminating, producing productivity data and experimenting with different analytical methods rooted in econometrics and data science.

Goals

The Productivity Lab’s primary goals are:

• Dissemination of  research from The Productivity Institute and research data on productivity, with a particular focus on the UK, through data publications.
• Create data-based insights through blogs and interactive tools for a broad audience, researchers, policymakers and business strategists
• Provide a hub with links to valuable data sources in the field of productivity research and provide a structure and overview of these databases, with examples and information on how to use them.

To read more about Lab’s stages and future plans, read this blog from Raquel Ortega-Argilés, who leads the Lab.

Data Infrastructure – Figshare

The Productivity Lab is the main outlet for data sets that are funded and produced by The Productivity Institute. These datasets are hosted on the Figshare platform where users can make all of their research outputs available in a citable, shareable and discoverable manner. Figshare supports and provides a number of important features for hosting research data:

• Open access
• Clear meta descriptions and terms of use
• Unique identifiers (DOI)
• Version control for updated releases
• Keeps track of citations and file downloads

Collaborators

The Lab is currently engaged in activities with ESCoE, ONS, The Conference Board, EUKLEMS-Intanprod-LUISS, CompNet, The Data City, OECD, Groningen Growth and Development Centre among other data-related partners.

Coming soon

At the Lab, we are constantly engaging with other institutions to bring data insights, datasets, and data-related tools. We will soon start engagement data-related activities including workshops and a fellowship – studentship programme.

For questions regarding the Productivity Lab’s blogs, data, or requests for potential collaboration, please e-mail us.