Multiparty data sharing in the social impact sector refers to situations where two or more organizations collaborate to collect, share, and/or analyze data to address societal challenges. Multiparty data sharing often happens among stakeholders from different sectors, including governmental agencies, private companies, and nongovernmental organizations, who come together to establish collaborative partnerships.
This document focuses on data-sharing initiatives that involve partners from across sectors, excluding business-to-business (B2B) and government-to-government (G2G) data sharing.
Related Guides & Resources
Data is a powerful resource that many organizations have but it needs to be managed and stewarded with care. We must ensure that our data practices are in alignment with our overall organizational values, and that we do not increase the vulnerability of the people that we serve.
Resources from DrivenData, IBM and +6
A data commons is a software platform along with a governance framework that together allow a community to manage, analyze and share its data.
Resources from CIO, McKinsey and +2
'If you want to go fast, go alone, but if you want to go far, go together,' the saying goes. That’s why collaboration is a powerful tool. Whether building internal capacity to execute a data science project or creating agreements with other value-aligned organizations to share data, partnerships can yield enormous benefits. But in reality, they can also present challenges.
Resources from Principles of Digital Development, The Governance Lab (GovLab) and +3