The following are the most common form of this type of collaboration:
The success of a data collaborative is ultimately measured by the positive impact and value it generates for the intended population. Participants and sponsors should define metrics, indicators, or targets to assess the impact of their collective efforts and continuously evaluate and improve their activities to maximize societal benefits.
The following references were used as inspiration for this piece:
Use spaces to invite a group of companies and people that will use shared data for a common purpose.
Accounts allow users to login and relate to each other based on their work's email domain.
Use our distributed query engine to retrieve data from decentralized data sources (no need to centralize all data in a single place).
If you're a data provider you can use our templates to create a simple yet effective Data Sharing Agreements.
Most Data Sharing Agreements should be legally-binding, this is why we offer you the possibility to use electronic signatures.
Data is a precious asset, we use confidential computing to safeguard it and make sure only the authorized people can access it.