When we decentralise we can’t ‘prove’ uniqueness across a population group. There appears to need a some sort of centralisation ability for this.
From the Blog on data trust
Data Governance Layers
Working through the different aspects of data sharing, deduplication and governance, I’ve begun thinking about layers. At the moment, I have four.
When we seek to serve a community in our humanitarian work, should the individual community member have veto power over what we do with their data?
Data Sharing Factors
The data sharing factors of frequency, direction, or type significantly impact our design and governance choices – from simple to complicated and complex.
DIDs & Trusts: Small, but Powerful Containers
The Data Trust does not solve all problems, but it could solve a small, distinct one which then frees up multiple solutions for the other problems.
Beyond “Mine’s Bigger Than Yours” Datasets
Most often the assumption is that data sharing means everyone has the same dataset in the end. It doesn’t have to be this way; there are other options.
The Data Trust Option
A Data Trust could de-politicise the discussions by establishing a Trust with trustees, who are representatives of organisations AND the beneficiaries.
Trusts are about limitations; limitations that enable positive things to happen. This limitation is the foundation of trust between all who use the data.