This article is a follow-up on the practice example on iSHARE: Sharing Dutch transport and logistics data.
Data sharing practice examples
There is no single “right” way for sharing data, or – at least – no single model has emerged yet to make every other option unsuitable or obsolete. In this section, we observe and document experimental or established practices of companies, governments and organisations across countries and sectors.
Our ambition is for our examples to show promising data sharing models and give insights into the underlying legal arrangements, technical mechanisms and potential economic benefits for actors involved. The set we have selected for you so far is just a starting point and will grow over time, as we identify and document more cases.
Also, we want to hear from you. You have the opportunity to rate the practice examples to help other readers identify which were the most useful for you to learn from, and to comment on them, whether on this page or discussing together with other practitioners in the user forum.
Are you aware of interesting data sharing practice examples? Get in touch with us via the support form and tell us your story!
Data sharing is crucial for organisations to stay competitive and increase efficiency.
Discover the BDVA's position paper on data sharing practices across Europe.
Social Science One's challenge to share with social science researchers the biggest and most private dataset ever.
Niek Bouman explains multi party computation (MPC): s a toolbox of cryptographic techniques that enable the distributed computation on data without the need to share it.
Discover Technology Industries Finland’s model terms and conditions for data sharing.
The Data Sharing Toolkit collects lessons learned, resources, and recommendations that span from the access, exploitation, and evaluation of data on one side, to the creation of sustainable businesses on the other.
Discover Ctrl-Shift's work on data sharing - building on the individual's right to data portability.
Find out how the governments of Estonia and Finland cooperate in NIIS to enable cross-border data sharing.
Discover how JoinData enables data sharing in the Dutch agricultural sector.
Read how MaaSMadrid improves transport services by combining multiple data sources.