Twinning Open Data Operational

Funded within Horizon2020 Twinning programme

News

WHAT IS NEW IN TODO
06.09.2022, 14:14
The UNIZG visited the University of the Aegean (UAEGEAN) from August 30th  till September 3rd 2022. including staff and ESRs from Faculty of…
31.08.2022, 10:56
After the many online project meetings in 2021, we were able to hold one in person. On August 25, we welcomed our partners from Delft University of…
12.07.2022, 17:55
Save the date: October 10th, 2022, as our free e-course on best practices for open data is Croatia is ready to start in October! With the official…
04.07.2022, 13:16
The International Open Data Conference organised by the Twinning Open Data Operational Project Consortium seeks to address current challenges of open…
27.05.2022, 16:45
In order to empower cooperation and sustainability, as part of activities (T6.3) Follow up project proposals, Faculty of Organization and Informatics…
18.05.2022, 09:50
TODO Fifth newsletter is published in May 2022.  We provide an overview of TODO project activities that project members have been diligently working…
OUR PROGRESS

Project analytics

Progress within core work packages

WP 1: Management and Coordination
70%
WP2: Capacity building
90%
WP3: ESRs training and Joint Supervision
80%
WP4: Collaboration and Knowledge Sharing
70%
WP5: Dissemination and Outreach
70%
WP6: Sustainability
5%

DOI

Digital Object Identifier, an identifier for a digital object (such as a document or dataset) that is assigned by a central registry and is therefore guaranteed to be a globally unique identifier: no two digital objects in the world will have the same DOI.

Source: ODH

Discoverable

It is not enough for open data to be published if potential users cannot find it, or even do not know that it exists. Rather than simply publishing data haphazardly on websites, governments and other large data publishers can help make their datasets discoverable by indexing them in catalogues or data portals.

Dimension

An ordinary table or spreadsheet can easily represent two data dimensions: each data point has a row and a column. Plenty of real-world data has more dimensions, however: for example, a dataset of Earth surface temperature varying with position and time (two co-ordinates are required to specify the position on earth, e.g. latitude and longitude, and one to specify the time).

DET

The Digital Europa Thesaurus (DET) is a multilingual thesaurus covering the main subject matters of the European Commission's public communications.

De-Identification

A form of anonymisation where personal records are kept intact but specific identifying information, such as names, are replaced with anonymous identifiers. Compared to aggregation, de-identification carries a greater risk of data leakage: for example, if prison records include a prisoner’s criminal record and medical history, the prisoner could in many cases be identified even without their name by their criminal record, giving unauthorised access to their medical history.

Deep Learning

Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts by using multiple layers to progressively extract higher level features from the raw input. Because the computer gathers knowledge from experience, there is no need for a human computer operator formally to specify knowledge needed by the computer.

DCAT App

DCAT application profile. A common vocabulary for describing datasets hosted in data portals in Europe, based on the DCAT.

DCAT

Data catalogue vocabulary. RDF vocabulary for interoperability of data catalogues.

Dataset

A collection of related sets of data that is composed of separate elements but that can be manipulated as a unit and accessed or downloaded in one or more formats. Source: EU OD

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

MOODLE