Data sharing practice examples
No existe un método único de «derecho» para el intercambio de datos o, al menos, no ha surgido ningún modelo único que no haya dejado de hacer ninguna otra opción inadecuada u obsoleta. En esta sección, observamos y documentamos prácticas de empresas, gobiernos y organizaciones de países y sectores.
Nuestro objetivo es que nuestros ejemplos muestren modelos prometedores de intercambio de datos y faciliten información sobre los acuerdos jurídicos subyacentes, los mecanismos técnicos y los posibles beneficios económicos para los agentes implicados.
El conjunto que hemos seleccionado hasta ahora es solo un punto de partida y va a crecer con el paso del tiempo al identificar y documentar más casos. Asimismo, queremos conocer su opinión. Tiene la oportunidad de valorar los ejemplos prácticos para ayudar a otros lectores a identificar cuáles de ellos son los más útiles para un aprendizaje, tanto en esta página como en el debate con otros profesionales del foro de usuarios.
¿Conoce ejemplos de prácticas de intercambio de datos interesantes? Póngase en contacto con nosotros a través del formulario de apoyo y cuéntanos su historia.
Keywords:
Agriculture Government Manufacturing Mobility Research Transport and logistics No sector focus Other
Data space catalysts Policy / legal facilitators Technology enablers
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Building trust around data collection
Smart cities may be the ultimate expression of the promise of data sharing and artificial intelligence. They provide citizens with connected services that are...
Responsible data governance in smart cities: Waterfront Toronto
In 2017, Waterfront Toronto, a public body created by three levels of government to develop the shoreline of Lake Ontario in Canada, put out a Request for...
Stephen Whiffin: Balancing the potential for supporting educational practice with public privacy
Wearables have brought data collection on a person’s health outside of hospitals and into the everyday, collecting information on movement, heart rate, sleeping...
ClearML: the open-source machine and deep learning solution
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...
RINIS: facilitating over 3 billion digital transactions each year
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...
The FOAM space
An open-source, low-cost network of terrestrial radios that enables crowdsourced mapping.
Meeco: Creating a transparent digital society built on trust
Have a look at our inspiring interview with Katryna and Jason from Meeco!
Opendatasoft - the data sharing platform
Showcasing data sharing applications from France and Canada, highlighting that the uptake of data sharing practices is still growing.
Copa-Cogeca – EU code of conduct on agricultural data sharing by contractual agreement
This united voice of farmers and agri-cooperatives ensures that EU agriculture is sustainable, innovative, and competitive, guaranteeing food security to half a...
Open Data Campaign – closing the data divide
Opening, sharing, and collaborating around data supports decision-making, improves efficiency, and helps tackle societal challenges world-wide.
DataVaccinator: Personal data protection by design via “industrialised pseudonymisation”
Anonymisation and pseudonymisation enable sharing of personal data without the identifiable attributes.
IBM and data sharing
IBM is actively involved in many mainstream technology projects and more recently, its interest extends to the space of open data and data sharing.
iSHARE: Data sharing in the Dutch transport and logistics sector
This article is a follow-up on the practice example on iSHARE: Sharing Dutch transport and logistics data.
iSHARE: Sharing Dutch transport and logistics data
Data sharing is crucial for organisations to stay competitive and increase efficiency.
Towards a pan-European data sharing space
Discover the BDVA's position paper on data sharing practices across Europe.
Social Science One and the Facebook URLs dataset
Social Science One's challenge to share with social science researchers the biggest and most private dataset ever.
A secure way to share data
Niek Bouman explains multi party computation (MPC): s a toolbox of cryptographic techniques that enable the distributed computation on data without the need to...
Technology Industries Finland
Discover Technology Industries Finland’s model terms and conditions for data sharing.