Perspectives
Ideas that can stand up to scrutiny.
Here we expand on what we mean about data, control, AI and funding. With practical examples, reasons and trade-offs.
Explore our perspectives
Principles
What does data sovereignty mean in practice?
What does real control over data require - and how do we avoid control becoming just a promise on a website?
Read morePrinciples
To democratize data is to make it usable
A downloadable file is a starting point. Democratization is about who can actually benefit from the information.
Read moreCollaboration
Data creates value between people and organizations
Relevant information can make collaboration easier. The question is how much the parties need to share.
Read moreArtificial intelligence
Good AI needs relevant data
Quality, origin and purpose are decisive when data is to help AI solve a concrete task.
Read moreFunding
Who pays - and who decides?
Advertising, subscriptions, fees and donations create different incentives. Here we explain our choices and trade-offs.
Read moreFunding
Why we charge for services
Stable services require ongoing work. Payment must be understandable, and privacy should never be a price level.
Read moreFunding
Why donations still matter
Some valuable work does not fit into a single service purchase. Voluntary support can create room to keep building.
Read moreData
A shared data foundation, clear limits on use
Reuse of source data can provide broad benefit. That does not mean all services should get access to all information.
Read moreWhat do you think we should examine next?
Good questions help us make the principles more concrete. Tell us about a trade-off, an uncertainty or an example from your everyday life.