Twinning Open Data Operational

Funded within Horizon2020 Twinning programme


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…

Project analytics

Progress within core work packages

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

Data portal

A web platform for publishing data. The aim of a data portal is to provide a data catalogue, making data not only available but discoverable for data users, while offering a convenient publishing workflow for publishing organisations.

Data parsing

Breaking a data block into smaller chunks by following a set of rules so that it can be more easily interpreted, managed or transmitted by a computer.

Data Mining

The practice of examining large pre-existing databases in order to generate new information. ‘For example, one Midwest grocery chain used the data mining capacity of Oracle software to analyse local buying patterns. They discovered that when men bought diapers on Thursdays and Saturdays, they also tended to buy beer. Further analysis showed that these shoppers typically did their weekly grocery shopping on Saturdays. On Thursdays, however, they only bought a few items.

Data management

The policies, procedures, and technical choices used to handle data through its entire lifecycle from data collection to storage, preservation and use. A data management policy should take account of the needs of data quality, availability, data protection, data preservation, etc.

Data leakage

If personal data has been imperfectly anonymised, it may be possible by piecing it together (perhaps with data available from other sources) to reconstruct the identity of some data subjects together with personal data about them. The personal data, which should not have been published (see data protection), may be said to have ‘leaked’ from the ‘anonymised’ data. Other kinds of confidential data can also be subject to leakage by, for example, poor data security measures.

Data journalism

The ability to work with data is an increasingly important part of a journalist’s armoury.

Data integration

Almost any interesting use of data will combine data from different sources. To do this it is necessary to ensure that the different datasets are compatible: they must use the same names for the same objects, the same units or co-ordinates, etc. If the data quality is good this process of data integration may be straightforward but if not it is likely to be arduous.

Data dump

A large amount of data transferred from one system or location to another.

Source: EU OD

Data crawling

A crawler is a programme that visits web sites and reads their pages and other information in order to create entries for a search engine index. The major search engines on the web all have such a programme, which is also known as a ‘spider’ or a ‘bot’.

Data collection

Datasets are created by collecting data in different ways: from manual or automatic measurements (e.g. weather data), surveys (census data), records of decisions (budget data) or ongoing transactions (spending data), aggregation of many records (crime data), mathematical modelling (population projections), etc.

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