ARP Conference

Posted on: October 28th, 2025 by Papp Ildikó

Our colleague, Zoltán Kanász-Nagy, had the opportunity to present at the ARP Annual Conference on October 8, 2025, during the morning session, regarding the InvenioRDM-based data repository recently completed for the University of Szeged (SZTE).

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In the event’s opening speech, Katalin Sebők from the HUN-REN Headquarters stated that they consider openness and the exploration of best practices regarding data repositories to be of great importance. It is also commendable that a data steward community appears to be forming in the country, in which HUN-REN’s organizational work regarding the Data Steward Network and its regular events play a vital role.

In the second half of the greetings, Judit Gárdos, a staff member of the ELTE Centre for Social Sciences, reviewed the past four years of the development of research data management in Hungary. She highlighted that 22 data stewards are currently working in the HUN-REN data steward network, for whom internal training has been developed. These specialists interviewed more than 200 researchers, partly motivated by the strive to build community and personal connections, as in this constantly changing world, a relationship of trust can provide a kind of stability.

Following this, our colleague Zoltán Kanász-Nagy presented some “behind-the-scenes” secrets of SZTE’s new InvenioRDM-based data repository: his presentation focused on the technical solutions providing framework customization and unique features. InvenioRDM is an open-source repository framework developed by CERN, specialized for research data, compliant with FAIR principles, and based on Python and React. Its advantages include supporting both DataCite DOI integration (allowing the creation of a DOI simultaneously with the item upload) and the use of the open Research Organization Registry (ROR) database (which facilitates the entry of funding data). Additionally, it is capable of OAI-PMH connection, version control of uploaded files, and even displaying previews of zipped folders. Significant effort had to be invested in the framework to develop permission management suitable for SZTE, adjust the appearance to the institutional identity, and implement Azure-supported SSO login. Unique solutions were created for fine-tuning forms by scientific field, and a custom tool was developed to support future form editing. The user interface was not yet available in Hungarian, so the Hungarian translation was completed using the Transifex tool through the collaboration of our company and university staff, which has also been made available to the domestic community.

In the next presentation, Szabolcs Hoczopán from SZTE spoke about the first experiences of the implementation. He stated that the system has been live since September 2025, while the previous test system remained as a ‘sandbox’. After the start of use, as is typical, a few bugs and requirements emerged, but these were successfully managed together with the development company. Based on initial lessons learned, the login and upload options were given extra prominence on the interface, as these were not as emphasized in the base system. A continuously updated guide on using the system was also prepared for users. Their long-term ambition with the data repository is that, having fulfilled the requests shown in their needs assessment through its creation, it should also become part of the European data repository infrastructure.

As the next speaker, László Kovács, a staff member of SZTAKI and ARP, spoke about the future and development directions of ARP, including their experiments involving the use of AI.

Balázs Horváth, a staff member of the HCSO (KSH), presented the statistical library’s search for its future role, given that some European Union countries have abolished or are planning to abolish their statistical libraries.

János Mohácsi, from Pro-M, gave a presentation on interoperability between research infrastructures, various identity management services, and their technical solutions.

 

 

SimilR

Posted on: January 24th, 2022 by akovacstapai

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Qulto SimilR is a software for finding text similarities between text documents, which can be hosted locally or as a cloud service.

Its core task is to index theses held by higher education institutions and other scientific content available to us for comparison. The comparison is based on measuring similarities between sections and paragraphs of a document.

We can use the automated comparison of documents to automatically identify suspected cases of plagiarism. The software generates a preliminary report on cases above the tolerance threshold, which can be used in the evaluation and decision-making processes. The document to be detected can be uploaded to a central web interface, which is then also used to view the results. Institutional content is processed locally, avoiding the copyright problems typically encountered by plagiarism detection tools. Our innovative business model also generates revenue for the collaborating stakeholders (institutions) based on the frequency of use of their relevant documents.

It allows multiple institutional and individual users to perform simultaneous analyses on individual, shared and web corpora. In addition, Qulto SimilR offers the possibility of customising the analysis and filtering parameters, taking into account the specificities of the texts in terms of genre, form and subject

By using SimilR, documents in Hungarian, protected by institutional and copyright law, will not be stored on foreign servers or owned by foreign companies.

Recommended for the work of higher education institutions, academics and students, professionals and doctoral students, content producers and content providers.

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The software underwent a minor upgrade in 2022, making its interface more simple, clear and user-friendly.

Qulto Days

Posted on: February 3rd, 2021 by akovacstapai

Qulto Days 2021

To improve is to change;
to be perfect is to change often.
(W. Churchill)

Join us live for the professional event on February 3 in Hungarian and / or on February 4 in English, where we will talk about exciting projects and current topics. Participation is free, you can register on the form available at the following link: https://tiny.pl/r1rr3

According to our plans, the event will be organized with the help of the Zoom application, the link required for connection will be sent to the registrants in the days before the event.We look forward to hearing from you!
Join our iconic event straight from your couch!:)

More information and full agenda can be found here

SimilR plagiarism detection

Posted on: August 11th, 2019 by akovacstapai
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SimilR is a software for finding text similarities between text documents, which can be hosted locally or as a cloud service. It allows multiple institutional and individual users to perform simultaneous analyses on individual, shared and web corpora. SimilR also provides the possibility of customising the analysis and filtering parameters, taking into account the genre, form and subject specificity of the texts.

By using SimilR, documents in Hungarian, protected by institutional and copyright law, will not be stored on foreign servers or owned by foreign companies.

Recommended for the work of higher education institutions, academics and students, professionals and doctoral students, content producers and content providers.

Main features