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!
Wearables have brought data collection on a person’s health outside of hospitals and into the everyday, collecting information on movement, heart rate, sleeping...
Not everyone is willing to share data. Therefore, the system was designed for a “zero data move”. This means that the data remains where it is stored, secured...
Europeans should be able to move, live, and work freely within the Union and have a single point of access to information that they need to do so. To make this...
An open-source, low-cost network of terrestrial radios that enables crowdsourced mapping.
Have a look at our inspiring interview with Katryna and Jason from Meeco!
Showcasing data sharing applications from France and Canada, highlighting that the uptake of data sharing practices is still growing.
This united voice of farmers and agri-cooperatives ensures that EU agriculture is sustainable, innovative, and competitive, guaranteeing food security to half a...
Opening, sharing, and collaborating around data supports decision-making, improves efficiency, and helps tackle societal challenges world-wide.
Anonymisation and pseudonymisation enable sharing of personal data without the identifiable attributes.
IBM is actively involved in many mainstream technology projects and more recently, its interest extends to the space of open data and data sharing.
This article is a follow-up on the practice example on iSHARE: Sharing Dutch transport and logistics data.
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...
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...
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.