Twinning Open Data Operational

Funded within Horizon2020 Twinning programme

News

WHAT IS NEW IN TODO
01.06.2023, 07:37
One way to formalise future collaboration after the completion of the TODO project is to establish a research group. The project consortium partners…
31.05.2023, 22:26
As a part of the WP6, Task 6.2 - Establishment of collaboration structure, the Memorandum of Understanding was signed among all partners of the TODO…
17.04.2023, 08:21
Faculty of Transport and Traffic Sciences’ final visit to the University of the Aegean in Athens (UAEGEAN) took place from March 28 to March 30, 2023…
10.02.2023, 07:40
We are pleased to announce that the members of the organising committee of the International Conference on Open Data (ICOD 2022), whose theme was "…
31.01.2023, 14:51
In Croatia, open data research and research using it are mostly understood as a concept encompassing one discipline and one domain, ignoring the fact…
07.12.2022, 14:47
Pre-Conference Day of TODO ICOD was held on Monday (28.11.2022.) where a panel on fiscal transparency and workshop on high-value datasets in progress…
OUR PROGRESS

Project analytics

Progress within core work packages

WP 1: Management and Coordination
100%
WP2: Capacity building
100%
WP3: ESRs training and Joint Supervision
100%
WP4: Collaboration and Knowledge Sharing
100%
WP5: Dissemination and Outreach
100%
WP6: Sustainability
100%

Many eyes principle

If something is visible to many people then, collectively, they are more likely to find errors in it. Publishing open data can therefore be a way to improve its accuracy and data quality, especially where a good interface for reporting errors is provided. See → crowdsourcing.

Source: ODH

Mashup

The combination of multiple datasets from multiple sources to create a new service or visualisation or new information. 

Source: EU OD

Machine-Readable (File or Data or Format)

Data in a data format that can be easily automatically read and processed (or identified, recognized and extracted) by a computer, without human intervention, including individual statements of fact, and their internal structure, while ensuring no semantic meaning is lost. Examples of file formats are CSV, JSON, XML, etc. Machine-readable data must be structured data. 

Machine learning

Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on patterns and inference instead. It is seen as a subset of artificial intelligence. Machine learning algorithms build a mathematical model based on sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to perform the task.

Linked data principles

Linked data principles provide a common API for data on the web that is more convenient than many separately and differently designed APIs published by individual data suppliers. Tim Berners-Lee, inventor of the web and initiator of the linked data project, proposed the following principles upon which linked data is based. Use URIs to name things. Use HTTP URIs so that things can be referred to and looked up (dereferenced) by people and user agents.

Linked data

A form of data representation where every identifier is an http://… URI, using standard lists (see vocabulary) of identifiers where possible, and where datasets include links to reference datasets of the same objects. A key aim is to make data integration automatic, even for large datasets. Linked data is usually represented using RDF. See also five stars of open data; triple store. Source: ODH

Licence mixing

If Project X publishes content, and wants to include content from Project Y, it is necessary that Y’s licence permits at least the same range of re-uses as X’s licence.

Licence

A legal instrument by which a copyright holder may grant rights over the protected work. Data and content is open if it is subject to an explicitly-applied licence that conforms to the Open Definition. A range of standard open licences are available, such as the CCZero licence or the Creative Commons CC-BY licence, which requires only attribution.

KML

Keyhole Markup Language, an XML-based open format for geodata. KML was devised for Keyhole Earth Viewer, later acquired by Google and renamed Google Earth, but has been an international standard of the Open Geospatial Consortium since 2008.

Source: ODH.

JSON-LD

JSON-based format to serialize Linked Data. The syntax is designed to easily integrate into deployed systems that already use JSON, and provides a smooth upgrade path from JSON to JSON-LD. It is primarily intended to be a way to use Linked Data in Web-based programming environments, to build interoperable Web services, and to store Linked Data in JSON-based storage engines.

Enabling a user-driven, sustainable and fair open data ecosystem through interdisciplinary research and education.

Delft University of Technology

Establishing the interdisciplinary approach in open data research towards addressing the societal, political and economic challenges.

University of the Aegean

Dealing with challenges and grasping new opportunities with reliable, up-to-date and easily accessible data to increase efficiency in planning, producing and delivering food to consumers.

Faculty of Agriculture, University of Zagreb

Information technologies drive open data to make government more transparent, science more visible and society more empowered.

Faculty of Organization and Informatics, University of Zagreb

Advancing technological foundations of open data as the cornerstone of an innovative society. 

Faculty of Electrical Engineering and Computing, University of Zagreb

Open traffic data provide reliable information for statistics, planning and real-time user information in interdisciplinary area. Vast amount of traffic data is essential for traffic and transport planning.
 

Faculty of Transport and Traffic Sciences, University of Zagreb

Geospatial data is one of the cornerstones of information society and the ongoing digital revolution. The vision of the University of Zagreb Faculty of Geodesy is realizing the full potential of the geospatial data - active research, promotion and education throughout the interdisciplinary approach.

Faculty of Geodesy, University of Zagreb

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