Knowledge Base

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

knowledge base data graph

Explore the knowledge base data graph.

Explore


Improve the Knowledge Base

Are you aware of an asset that can help enrich the BPC KB? Share it with us and be named contributors to our work.

Fill in the questionnaire


Displaying 1 - 10 of 13

AGROVOC is a controlled vocabulary covering all areas of interest of the Food and Agriculture Organization (FAO) of the United Nations, including food, nutrition, agriculture, fisheries, forestry, environment etc. It is published by FAO and edited by a community of experts.

In: Assets

The DCAT Application Profile for data portals (DCAT-AP) is a specification based on the Data Catalogue vocabulary (DCAT) for describing public sector datasets in Europe. Its basic use case is to enable cross-data portal search (primary Open Data Portals) for data sets and make public sector data better searchable across borders and sectors. This can be achieved by the exchange of descriptions of datasets among data portals.

In: Assets

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

In: Assets

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.

In: Assets

Apache Spark™ is a unified analytics engine for large-scale data processing.

In: Assets

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

In: Assets

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.

In: Assets

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

In: Assets

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

In: Assets

The OpenText Sentiment Analysis module is a specialised classification engine used to identify and evaluate subjective patterns and expressions of sentiment within textual content. The analysis is performed at the topic, sentence, and document level and is configured to recognise whether portions of text are factual or subjective and, in the latter case, if the opinion expressed within these pieces of content are positive, negative, mixed, or neutral

In: Assets

Open data - Download the Knowledge base

You are free to download the data of this Knowledge base.

To do this you must be an authenticated user: log in or sign in now.

All the data are licensed as Creative Common CC-BY 4.0.