The Big Data Value Association advertises and grants the “BDVA i-Space”-label for European Innovation Spaces to help drive forward Big Data adoption across all domains within European industry. Hubs can be granted with the label in the three grades Bronze, Silver and Gold within the following five domains: Excellence of infrastructure, Quality of Services, Projects and sectors, Impact to Eco System and Business model.
About this tool
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.
Knowledge base data visualization
Explore the knowledge base data graph.
Improve the Knowledge Base
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ISO 19731:2017 specifies the terms and definitions, as well as the service requirements, for organizations and professionals such as service providers who conduct digital analytics and web analyses for collecting, analysing and reporting of digital data for purposes of market, opinion and social research.
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).
NodeXL is a data visualisation and analysis software of relationships and networks that provides exact calculations. It is a free (Basic package not the pro one) and open-source network analysis and visualisation software and one of the best statistical tools for data analysis which includes advanced network metrics, access to social media network data streams, sentiment analysis and automation
LiquidFeedback is an open-source software, powering internet platforms for proposition development and decision making. It is designed to work with large groups with real conflicts using strict rules in a predefined process without moderator interference. It is currently used by political parties, associations, corporations and for civic participation. More information can be obtained on the website of Interaktive Demokratie e. V.
Apache Spark™ is a unified analytics engine for large-scale data processing.
Gephi is an open-source network analysis and visualisation software package written in Java on the NetBeans platform. It is a tool for exploring and understanding graphs that allows users to interact with the representation, manipulate the structures, shapes and colours to reveal hidden patterns. Its goal is to help data analysis to make hypothesis, intuitively reveal trends and patterns, highlight outliers and tell stories with their data. It uses a 3D render engine to display large graphs in real-time and to speed
Solver specialises in providing world-class financial reporting, budgeting and analysis with push-button access to all data sources that drive company-wide profitability. Solver provides BI360, a Corporate Performance Management (CPM) software suite for companies of all sizes, which is available for cloud and on-premise deployment, focusing on four key analytics areas.
DataMelt or DMelt is a software for numeric computation, statistics, analysis of large data volumes ("big data") and scientific visualisation. The program can serve many areas, such as natural sciences, engineering, modelling and analysis of financial markets and (as it is a computational platform) it can be used with different programming languages on different operating systems
Weka, an open source software, is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a data set or called from the user's own JAVA code (as Weka itself has been fully implemented in the JAVA programming language). Weka features include machine learning, data mining, pre-processing, classification, regression, clustering, association rules, attribute selection, experiments, workflow and visualisation