European Open Data Portal and Policy Compass: from national Open Data repositories to European...
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Transcript of European Open Data Portal and Policy Compass: from national Open Data repositories to European...
Yury Glikman, 21 September 2016
BEYOND OW2:NEW EUROPEAN OPEN DATA PORTALS FOR END-USERS AND DEVELOPERS
© R
ich
ard
Cliff
ord
/ F
lickr
(CC
BY
-SA
2.0
)
THE BENEFITS OF OPEN DATA ARE DIVERSE AND RANGE FROM IMPROVED PERFORMANCE OF PUBLIC
ADMINISTRATIONS, ECONONIC GROWTH IN THE PRIVATE SECTOR TO WIDER SOCIAL WELLFARE
The European Data Portal will be a central hub providing access to all the
information (metadata) about the data made accessible throughout Europe
ImprovingEfficiency of
Public Services
Improving Quality
Developing Innovative
Services
Creating New
BusinessModels Improving
Transparency & Accountability
Enhance ParticipationPerformance
Economy
Social
www.europeandataportal.eu
WHAT DO WE DO?
1. We offer metadata in 15 languages (for now), we visualise,
we offer quality checks for over 600K datasets
2. We train a suite of learning experiences in the field of
Open Data from publishing to the re-using Open Data
3. We showcase Open Data events, Open Data news, Open
Data best practices, Open Data reports, etc
4. We collect by inviting stakeholders to share their stories,
their feedback, their portals
5. We convene: meetings, webinars, events to discuss open
data best practices, challenges and next steps
6. We share our source code and promote open source and
re-use of components and standards
“We harvest open data made available by all public administrations across Europe.
Our focus is data from the Member States”
34 countries, 70 catalogues harvested, visualisations, maps, …
THE EUROPEAN DATA PORTAL
MULTIPLE LEARNING EXPERIENCES BROUGHT ONLINE
A Goldbook for data providers
Open Data in a Nutshell
How to build an Open Data Strategy
Technical preparation & implementation
Putting in place an Open Data lifecycle
Ensuring and monitoring success
Step 1: Introduction to Open Data
Step 2: Open Data Implementation
Step 3: Technical deep dive
Step 4: Where next with Open Data?
eLearning Modules Library
Economic analysis
Landscaping report
Use cases
Further training material
Country specific reports
Training Companion
Practicalities to run own Open Data workshops
Online learning is complemented by tailored support to countries
KEY FEATURES
Harvesting of more than 70 Open Data portals
Support of the DCAT-AP standard
Translation of important meta data into 15 (later in 24)
languages
CKAN as a base for the meta data catalogue
Integrated tool for assessing metadata quality
Open Data Licensing Assistant
Making meta data publicly available via CKAN REST-
API and SPARQL endpoint
Open Source solution
www.policycompass.eu
Grant Agreement
612133
8
- Difficulty of objectively assessing the impact
of government policies
- Political discussions about policies impacts
are highly emotional and often are not based
on any factual data
- Poor use of available open data resources in
the internet
- Different perception by people about a
suitable metric for measuring progress
THE PROBLEM AND THE OPPORTUNITY
The Problem The Opportunity: learning from data
ONLINE DELIBERATION
AND ARGUMENT MAPPING
BUILDING
CAUSAL MODELS
DEFINING OWN
PROGRESS METRICS
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POLICY COMPASS CONTENT
MetricsDefine and calculate own metrics
on the basis of datasets
Causal ModelsModel policy impacts and interrelations
DeliberationDiscuss impacts of policies and
define argumentation models
VisualisationsVisualise and compare datasets
EventsAnnotate visualisations by policy
impacts influencing events
DatasetsUpload or import Open Data
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Open Data can be submitted through a “Wizard“
Uploaded data has to be transformed in „Policy-Compass-
Format“ and become accessible as Datesets
Support of popular formats: CSV, XLS, XLSX
Direct search and import from:
European Data Portal
Eurostat
© Fraunhofer FOKUS
UPLOADING DATASETS
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Historical events, political decisions, laws, etc. are the
second key element of Policy Compass
Events can be registered manually
Search and import of events from external sources:
Wikipedia
DBpedia
© Fraunhofer FOKUS
REGISTERING EVENTS
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Datesets can be presented as Visualisations
There are several types of charts supported: line charts,
on a map, Pie and Bar charts
Rich set of configuration options
Events can be added in Visualisations
Identifing relations between Data and Events:
Evaluation of the performance of politics
© Fraunhofer FOKUS
VISUALISING DATA
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Users can define own complex Metrics to measure
impacts of policies, e.g. the Human Development Index
Metrics can be defined as mathematic formulas to be
applied to Datasets
Same Metrics can be applied to different Datasets (for
different time periods or different locations)
© Fraunhofer FOKUS
DEFINING METRICS
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Relations between concepts can be modelled in a
graphical editor
Such Causal Models can predict an impact of changing
one or several concepts values in the model for the rest of
the system
Modelling and prediction is based on the theory of „Fuzzy
Cognitive Maps“
The weights of relations between concepts can be
calculated based on the available datasets for the
concepts.
© Fraunhofer FOKUS
DEFINING CAUSAL MODELS
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Policy Compass uses open source e-Participation
software Adhocracy as a deliberation component
The outcomes of the deliberation can be modeled on the
basis of the Carneades Argumentation Framework
summarising the arguments of a debate in an argument
graph
Carneades helps to obtain clear explanations, using
argument graphs, of the different effects of alternative
policies in particular cases
© Fraunhofer FOKUS
DELIBERATING AND ARGUMENTATION MODELLING
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Fraunhofer FOKUS
Kaiserin-Augusta-Allee 31
10589 Berlin, Germany
www.fokus.fraunhofer.de
Dr. Yury Glikman
Tel. +49 (0)30 3463-7718
© Fraunhofer FOKUS
CONTACT