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%

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.

Data page

A hub for data discovery which provides a common location that lists and links to an organization’s datasets. Such a hub is often located at www.example.com/data.

Source: US OD

Data Asset

A collection of data elements or datasets that make sense to group together. Each community of interest identifies the Data Assets specific to supporting the needs of their respective mission or business functions. Notably, a Data Asset is a deliberately abstract concept. A given Data Asset may represent an entire database consisting of multiple distinct entity classes, or may represent a single entity class.

Data Access Protocol

A system that allows outsiders to be granted access to databases without overloading either system.

Source: ODH

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