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OpenOrgs facilitates the correct mapping of research outputs for Cyprus

Open Science Observatory data for Cyprus


The Deputy ministry of Research, Innovation and Digital policy of the Republic of Cyprus, informed the Cyprus OpenAIRE team that the Open Science Observatory data for Cyprus was mistakenly provided as it included information from institutions that do not operate under the official state of Cyprus.

Challenge & Scenario

The Open Science Observatory data for Cyprus is currently used as the main portal for observing and identifying the Open Science landscape of Cyprus. It was soon noticed that the data mistakenly included sources not officially related to the Republic of Cyprus research outputs.

Solution & Implementation

The OpenAIRE team was contacted and acted accordingly in order to  correctly identify and map all authorised  data sources and provide a reliable and trustworthy data space.


The data are now trusted and can be used by the Deputy ministry and other local stakeholders for reporting or any other reason needed and decisions to be taken.
The University of Cyprus Library, has been acting as a National Open Access Desk (NOAD) of OpenAIRE since 2009.
“Trustworthy data sources are of great importance for all stakeholders. OpenAIRE team reactions at its best!”
Sylvia Koukounidou, Coordinator of Digitisation and Archives Office, University of Cyprus, NOAD for Cyprus

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In depth description


On September 2022, OpenAIRE was notified by the Deputy ministry of Research, Innovation and Digital policy, that it came to their attention that in the overall results of the Open Science Observatory the data for Cyprus ( there were some results from the following 5 institutions
  • Near East University
  • Eastern Mediterranean University
  • Cyprus International University
  • Girne American University
  • Yakin Dogu Universitesi
These “institutions” operate in the area of the Republic of Cyprus which remains under Turkish military occupation since 1974 and they are unlawfully operating “educational institutions”, since they are not in compliance with the relevant Laws and Regulations of the Republic of Cyprus on Higher Education. Therefore, these “institutions” are not recognized by the Republic of Cyprus and operate outside the legal and institutional framework of the Republic of Cyprus. 
For this reason, any information obtained from not authorised institutions regarding their research work and produced publications and data must not be presented/displayed to/as elements of the Republic of Cyprus but also at the level of the European Union.
Thus, the OpenAIRE team was asked to revise the methodology of extracting data so as not to include information obtained from the abovementioned illegal universities of the occupied territories of Cyprus.

OpenOrgs Cyprus screenshot

To address this issue, the OpenAIRE team took action and utilised OpenOrgs to manually curate the data. By editing the metadata and setting information about the country to “unknown”, the team was able to ensure that the data accurately reflected the legitimate educational institutions of Cyprus. Thanks to these efforts, the data in the Open Science Observatory, and other OpenAIRE portals, is now correct and up to date.

OpenOrgs OSO Cyprus case study

To view live the statistics, please visit the country page of Cyprus at

 OpenOrgs OSO Cyprus case study screenshot


Service in focus


OpenOrgs is a tool created to solve a long-standing problem: the disambiguation of organisations variously involved in the research process. In particular, OpenOrgs addresses the ambiguity affecting the information aggregated by OpenAIRE from different research organisation registries (e.g. ROR, EC) and populating the OpenAIRE Research Graph. OpenOrgs combines automated processes and human curation. The deduplication algorithm does the first part of the work, grouping organisations with a certain degree of similarity in their metadata. After that, a process of manual curation corroborates the automated process. Data curators can resolve the ambiguity of duplicates detected with the automated process by stating whether two or more entities correspond or not to the same organisation. They can also suggest new duplicates which the algorithm has not found, thus improving the automated process. With these tasks, OpenOrgs users can compensate for the lack of information available and improve the organisations' discoverability.

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