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The Big Policy Canvas Knowledge Base is a state-of-the-art, online and dynamic repository that functions as an accumulator uniting all the knowledge produced during the project. It is structured along the three dimensions of needs, trends and assets and furthermore offers a mapping among them by defining how they are interconnected and how they influence each other.
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The goal of the FREYA consortium is to extend a robust environment for Persistent Identifiers (PIDs) into a core component of European and global research e-infrastructures. The resulting FREYA services will cover a wide range of resources in the research and innovation landscape and enhance the links between them so that they can be exploited in many disciplines and research processes.
FREYA is one building block of the European Open Science Cloud (EOSC).
A tool to guide policy makers to derive specific policies and regulatory mechanisms in an agile and iterative manner – integrating both design thinking and evidence - based policy making. This notion of a canvas is borrowed from the business world. The canvas approach helps translate broad insights and understandings to the needs of a particular country. It also helps define the key issues at stake as well as metrics to evaluate success and suggest avenues for possible iteration and improvement.
IEEE Model for planning Big Data Energy Applications through a Smart Grid (including Use Case Scenarios)
An impressive study concerning Big Data and how to transfer the concept to the Health Science: The concept of Big Data is causing a world-wide buzz. Its successful applications in business, sciences and healthcare have radically changed their traditional practices. The demand for Big Data analysis is increasing day by day. More than 200 colleges provide degrees with Data Science
A Complete Consultant Solution by Fraunhofer SIT, to create your own Health Infrastructure from scratch.
LEED, or Leadership in Energy and Environmental Design, is the most widely used green building rating system in the world
Splash is a research project aimed at building a framework that supports the integration of multiple existing models, simulations, and data that represent parts of the broader health ecosystem. Specifically, the goal is to create a platform that takes expert models of constituent real-world systems related to health, synthesising and integrating those models, resulting in an interoperating complex composite system model with which policy-makers can try out alternatives in a low-cost, highly responsive way.
Business process re-engineering (BPR) is a business management strategy, originally pioneered in the early 1990s, focusing on the analysis and design of workflows and business processes within an organization. BPR aimed to help organizations fundamentally rethink how they do their work in order to dramatically improve customer service, cut operational costs, and become world-class competitors.
The Data & Analytics Framework (DAF) is an open source project developed in the context of the activities planned by the Italian Three-Year Plan for ICT in Public Administration 2017 - 2019, approved by the Italian Government in 2017.
The DAF project attempts to establish a central Chief Data Officer (CDO) for the Government and Public Administration. Its main goal is to promote data exchange among Italian Public Administrations (PAs), to support the diffusion of open data, and to enable data-driven policies. The framework is composed by three building blocks:
You are free to download the data of this Knowledge base.
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All the data are licensed as Creative Common CC-BY 4.0.