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Collaborative Data Ecosystems for the Public Sector

To be able to leverage insights in a global data society, we need access to data that is traditionally kept apart, split between government, business, and citizens.

Collaborative data ecosystems enable sharing information between governments, businesses, organizations, and citizens, while preserving sovereignty and confidentiality. This unleashes unprecedented opportunities to work together on challenges such as the response to climate change and enables capabilities such as the best search for skills and a quick response in pandemic contexts.

Creating complete data ecosystems hence offers the opportunity to reimagine the public sector by designing new citizen services, multiplying insights, optimizing costs of processes, and reducing the time to market.

“As a national body, Public Health Scotland can turn around the data for others to use, rather than every local body trying to turn around the data themselves and duplicating efforts. And instead, focus on local use of the data, enhanced with their expertise and knowledge of their local areas.”

Scott Heald – Director of Data-driven Innovation, Public Health Scotland 

      “There is a need to reinforce trust across the ecosystem, if we want all the actors to actually work together towards their open goal and open up their data – with a ‘whole of government’ approach identifying the benefits that can be achieved, while protecting rights and balancing risks.”

      Barbara Ubaldi – Head of Digital Government and Data Unit, OEC

      A collaboration among radiologists from three Spanish hospitals

      An end-to-end service enabling data-driven advice to build

      Building on its strong data skills, Capgemini’s CDE4PS services consist of two layers, with an advisory part led by Capgemini Invent and an implementation part led by Insights and Data services, both bringing all necessary accelerators to the table where data sharing is requested.

      With CDE4PS, Capgemini advises public organizations with a set of capability ranging from the creation of the target operating model to the delivery of federated learning platforms, homomorphic encryption, or differential privacy. All these thrive to support in planning, creating, and running the ecosystem of data and stakeholders with the right governance and ownership setup, while activating the benefits linked to data sharing: a better efficiency in operations, a rise in data insights, an enhanced collaboration between departments, and the activation of scaled privacy-preserving AI.

      Connecting insights across organizations and geographies

      Currently, Capgemini already delivers data sharing projects, both on the advisory side (the creation of the EU’s Center for Data Sharing) and the implementation side (federated learning to improve symptom-assessment in Spain). Scenarios for data sharing can be identified across all segments of the public sector, whether in public administration (statistical hubs), welfare (skills matching), tax & customs (international custom supply chain), defense (aircraft maintenance), healthcare (deconfinement strategies), smart territories (earth observation), or security (fraud detection).

      Our approach to data sharing

      • Vision – defining key objectives
      • Design – create new services
      • Liaison – set up partnerships
      • Governance – set up data governance
      • Trust – ensure legal compliance and protection

      • Data foundation – build platforms
      • ​Data ingestion – shape marketplaces
      • New analytics services – federated learning
      • Security – homomorphic encryption
      • Privacy – differential privacy

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