CONNECTED BY DATA has been commissioned by the International Development Research Center (IDRC) to explore how the Global Data Barometer can be used to provide a baseline and measurement tool for the realisation of the Data Values Manifesto.
The Global Partnership on Sustainable Development Data’s (the Global Partnership) Data Values Project has developed a roadmap for putting values at the heart of the data agenda. This roadmap calls on governments, companies, civil society organizations, donors, and others to make positive changes in how data is funded, designed, managed, and used. It is accompanied by a Manifesto that translates the roadmap into a five-point plan for collective advocacy.
Yet to truly realize the value of data and data-related projects, it is important to try to build a baseline and understand how far or close the data ecosystem is from the expected standards.
Tracking global efforts in these domains is necessary to realize the value of data and guide investments that will promote a fair data future. One important mechanism through which to fill these knowledge gaps is the Global Data Barometer (GBD). Led by the Data for Development Network (D4D.net) and supported by IDRC, the GDB is a global benchmarking tool that will track how data is shared, governed, and used for global public good.
This project aims to explore how to use GDB data to measure progress toward the framework set out in the Data Values White Paper, “Reimagining Data and Power: A roadmap for putting values at the heart of data” and the Data Values Manifesto.
“The Data Values campaign is a global movement to challenge power structures in data to ensure that we all share in the benefits from its collection and use.” The campaign sets out a five point manifesto that builds on the Reimagining Data and Power whitepaper, both developed through broad global consultation. Together, these documents provide a framework describing the kinds of actions that governments, companies, civil society organisations, donors, and others should undertake to transform how data is funded, designed, managed, and used, and to put people and communities at the heart of data systems.
The changes that the Data Values campaign seeks to secure are ambitious, achievable and, to an extent, measurable. This policy brief explores how the Global Data Barometer can be deployed to support insight and measurement of data values at the country level: supporting efforts in both advocacy, and accountability.
This is the second post in a series produced as part of the analysis for the Measuring Data Values Around the World project.
We have previously scoped out how existing primary data collected from the Global Data Barometer might map to the Data Values framework. As a multi-dimensional composite index, the Global Data Barometer is based on both primary and secondary data sources.
In this post, we consider if there are elements of data values measurement which could be addressed by drawing on existing secondary indicators or by incorporating additional secondary data sources. These could feed into future iterations of the GDB, or be used in Data Values measurement products, tools or analysis based partially on the GDB.
As part of our project exploring how the Global Data Barometer might be used to provide insights and metrics for measurement against the Data Values framework, I’ve been looking into how Large Language Models (LLMs) like ChatGPT might impact upon the methodology of expert survey studies like the Barometer.
This post contains some initial notes from this exploration.