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  • Periodic Reporting for period 1 - OpenGovIntelligence (Fostering Innovation and Creativity in Europe through Public Administration Modernization towards Supplying and Exploiting Linked Open Statistical Data)

OpenGovIntelligence Report Summary

Project ID: 693849
Funded under: H2020-EU.3.6.

Periodic Reporting for period 1 - OpenGovIntelligence (Fostering Innovation and Creativity in Europe through Public Administration Modernization towards Supplying and Exploiting Linked Open Statistical Data)

Reporting period: 2016-02-01 to 2017-01-31

Summary of the context and overall objectives of the project

Governments are changing the way they interact with the public. Instead of providing services, they move towards co-creation in which governments, companies, citizens and other parties collaborate in all aspect of service development and provisioning to create user-centric services. This transforms the landscape of public administrations in which they traditionally perform their own tasks and do not cooperate with others. Co-creation crosses organizational boundaries and innovations should not be limited by organizational structures and institutional constraints.
Linked Open Statistical Data (LOSD) can help governments, companies and citizens to provide more insight in societal developments and relationships. For example, this data can show the pollution in an area, but also the sources of the pollutions and the changes that have happened over time. In this way providing deep insight that can be used by policy-makers, but also provide insight for the public which can be used by them to ask questions and influence policies. Although this data is available is often distributed over siloed data sources that store data in heterogeneous formats. Collecting and linking this data is often challenging which hinders the creation of new insights. Once the data can be combined visualization in such a way that the results are easy to understand is of vital importance.
The overall objectives of the OpenGovIntelligence project are to:
Create a co-creation framework for LOSD-driven pubic services
Develop tools that will support the integration of LOSD and facilitate the development of LOSD-driven services based on advanced visualisations and analytics methods.
Apply LOSD-driven public service co-creation in real world settings in order to create added value services in six European countries in various problem areas.
Towards this end, the OpenGovIntelligence follows an iterative approach with three rounds of development and evaluation. During this reporting period, the first round has been completed.

Work performed from the beginning of the project to the end of the period covered by the report and main results achieved so far

In the first year of the project, the OpenGovIntelligence projects identified the state of the art along with challenges and needs that are related to (a) the exploitation of Linked Open Statistical Data (LOSD), and (b) data driven innovation and public service co-creation.
Moreoover, OpenGovIntelligence created the first version of the framework that describes the processes, policies, strategies, and data infrastructure architectures that specify a user-centric LOSD innovation ecosystem and help orchestrate the collaboration of society and public administration in the development and implementation of data-driven public services.
Finally, OpenGovIntelligence developed the first release of a toolkit comprises software tools to support (a) the creation of LOSD from various sources and raw technical formats, (b) the expansion of LOSD with other datasets, and (c) the exploitation of LOSD for the co-production of public services. In the first release the toolkit comprises the following components:
LOSD Creation
Table2qb tool, implemented with SWIRRL’s Grafter, takes data in a specific tabular structure, either as a CSV or Excel file, and converts it into an RDF Data Cube.
oData Cube Builder is a tool for transforming non-RDF data sources to RDF Data Cube. It is built on top of the pre-existing tool TARQL.
LOSD Expansion
The Data Cube Aggregator creates new cubes by computing aggregations across dimension of existing cubes using an aggregate function.
LOSD Exploitation
JSON-QB API enables accessing data stored as RDF Data Cubes in a way that could be easily used by typical web developers.
oData Cube Explorer is a web-based tool that catalogues and presents details of available data cubes to the users.
The OLAP Browser enables the exploration of RDF data cubes by presenting each time a two-dimensional slice of the cube as a table.
The Cube Visualizer is a web application that creates and presents to the user graphical representations of an RDF data cube’s one-dimensional slices.
The results of this work were used to perform initial user studies in six pilots in six European countries. More specifically:
The pilot of the Greek Ministry of Administrative Reconstruction involved the monitoring and managing of vehicles that are used by Greek public agencies.
The pilot of Enterprise Lithuania aims at simplifying market research and decision-making process during business planning. In the first year, data from various databases were transformed to LOSD. Different visualisations were created on top of the LOSD.
Trafford Council in the UK aims at developing an LOSD-driven service to support decision making regarding the distribution of Job Centers where people claim work benefits.
In the Flemish Government’s pilot a big number of datasets has been transformed to LOSD and a service aiming at supporting environmental planning has been developed.
The Irish Marine Institute defined a pilot about search and rescue operations which are a cross-country problem of public administration, businesses, and citizens.
The pilot of the Estonian Ministry aims at supporting a user who wants to buy or rent a flat, a house, office premises or a land in Estonia.

Progress beyond the state of the art and expected potential impact (including the socio-economic impact and the wider societal implications of the project so far)

The OpenGovIntelligence introduces improvements beyond the state of the art in various areas related to the project objectives.
First, OpenGovIntelligence toolkit introduces a major improvement in relation to pre-existing vertical applications where code handled human interface, business logic and access to the RDF store where LOSD reside. As a result, the development of these tools required specific expertise related to LOD technologies in order to implement the data access layer. OpenGovIntelligence have developed an alternative layered architecture where data access is separated from the business logic and human interface. We have developed the JSON-QB API for accessing RDF Stores in an easy and uniform way. This is based on a relevant specification that we devised.
OpenGovIntelligence goes also beyond traditional top down approaches and proposes the co-initiation, design, implementation and evaluation of innovative data-driven public services. This results in numerous benefits:
Revealing new insights: by linking data that were previously separated, new insights can be created by combining and analysing data sets.
Improving policy-making: Policy-making highly depends on the evidence generated by data. By combining and analysing data the effects of policies can be evaluated and used as an input for developing new policies resulting in evidence-based policy-making.
Creating transparency: Transparency and insight into the government functioning is a key conditions for democracy. Governments have been struggling with creating transparency and co-creation combined with LOSD creates the necessary transparency.
Empowering citizens: By providing data and capabilities to analyse the data and visualizing the results the citizens are empowered. This enables them to respond to and influence public policies.
Innovating of services; open data can unlock value, but the benefits have been limited so far. By using co-creation and LOSD more value can be unlocked and services can be improved.
Stimulating competitiveness and Economic growth; Open data promise is to have economic developing and growth of billions of Euros.

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