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%

Tab-separated values

Tab-separated values (TSV) are a very common form of text file format for sharing tabular data. The format is extremely simple and highly machine-readable.

Source: ODH

Structured data

All data has some structure, but ‘structured data’ refers to data where the structural relation between elements is explicit in the way the data is stored on a computer disk. XML and JSON are common formats that allow many types of structure to be represented. The internal representation of, for example, word-processing documents or PDF documents reflects the positioning of entities on the page, not their logical structure, which is correspondingly difficult or impossible to extract automatically.

Standard licence

A set of predefined re-use conditions in a digital format, preferably compatible with standardised public licences available online.

Source: OD Directive

Standard

A published specification for, e.g., the structure of a particular file format, recommended nomenclature to use in a particular domain, a common set of metadata fields, etc. Conforming to relevant standards greatly increases the value of published data by improving machine readability and easing data integration.

SQL

Structured Query Language, a standard language used for interrogating many types of database. See → query.

Source: ODH

Spreadsheet

A table of data and calculations that can be processed interactively with a specialised spreadsheet program such as Microsoft Excel or OpenOffice Calc.

Source: ODH

SPARQL Endpoint

A service that accepts Sparql queries and returns answers to them as Sparql result sets. It is best practice for dataset providers to give the URL of their Sparql endpoint to allow access to their data programmatically or through a web interface.

SPARQL

A query language similar to SQL, used for queries to a linked-data triple store.

Source: ODH

Source code

The files of computer code written by programmers that are used to produce a piece of software. The source code is usually converted or ‘compiled’ into a form that the user’s computer can execute. The user therefore never sees the original source code, unless it is published as open source.

Source: ODH

Solr

An open source enterprise search platform. Its major features include fulltext search, hit highlighting, faceted search, real-time indexing, dynamic clustering, database integration and rich document (e.g. Word, PDF) handling.

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