Open science involves the open sharing of all research results, including research data. One of the main arguments for open or public sharing of research results is that a large proportion of scientific research is publicly funded. The public has a right to access the results of research carried out with so-called taxpayers' money. In addition, research data a high-value commodity in the digital economy, as they are indispensable for the functioning of production processes, online services and logistics chains, as well as newer concepts such as the Internet of Things, smart cities and artificial intelligence.
In the European Union, the public publication of research data has become compulsory with the Directive (EU) 2019/1024 of the European Parliament and of the Council of 20 June 2019 on open data and re-use of public sector information, which was also transferred to the Financial Mechanism in 2021 Horizon Europe. Independently of this, certain scientific publishers already introduce requirements for the public publication of research data used as the basis for scientific articles. This will initially be voluntary, but will later become mandatory and the data will be peer-reviewed, as can be seen for example in Policies ACS Publications. Slovenia has also started to open its data public administrationvia the website Open data Slovenia.
What is research data?
There is no universally accepted definition of what constitutes research data at this point in time. Those that do exist are also of varying degrees of stringency. Let us look at a few:
Springer Nature definition:
Research data refers to the collection of files that support your research project, study or publication such as spreadsheets, documents, images, videos or audio. (www.springernature.com)
Slovenian translation: Research data refers to the collection of files that support your research project, study or publication, such as spreadsheets, documents, images, videos or audio files.
OECD definition:
Research data are defined as factual records (numerical scores, textual records, images and sounds) used as primary sources for scientific research, and that are commonly accepted in the scientific community as necessary to validate research findings. A research data set constitutes a systematic, partial representation of the subject being investigated. This term does not cover the following: laboratory notebooks, preliminary analyses, and drafts of scientific papers, plans for future research, peer reviews, or personal communications with colleagues or physical objects (e.g. laboratory samples, strains of bacteria and test animals such as mice). (OECD Principles and Guidelines for Access to Research Data from Public Funding)
Slovenian translation: Research data are defined as factual records (numerical results, textual records, pictorial and audio material) that are used as primary sources for the purposes of scientific research and are generally accepted in the scientific community as necessary to validate research findings. A research dataset is a systematic, partial representation of a research topic. This term does not include laboratory notebooks, preliminary analyses, drafts of scientific articles, plans for future research, peer reviews, communication with colleagues and objects (e.g. laboratory samples, bacterial strains and test animals such as mice).
CODATA definition (Commission on Research Data of the International Council for Science):
Data that are used as primary sources to support technical or scientific enquiry, research, scholarship, or artistic activity, and that are used as evidence in the research process and/or are commonly accepted in the research community as necessary to validate research findings and results. All other digital and non-digital content have the potential of becoming research data. Research data may be experimental data, observational data, operational data, third party data, public sector data, monitoring data, processed data, or repurposed data. (www.codata.org)
Slovenian translation: Research data are data that are used as primary sources to support technical or scientific research, academic knowledge or artistic activity, that are used as evidence in the research process and/or that are generally accepted in the research community as necessary to validate research findings and results. All other digital and non-digital content has the potential to become research data. Research data can be experimental data, observational data, operational data, third party data, public sector data, monitoring data, processed data or reused data.
CTK activities in support of research data
Repositories
CTK manages an institutional repository in the field of natural sciences and engineering DiRROS - Digital Repository of Research Organisations of Slovenia, which is a single entry point for access to electronic forms of scientific and professional works, reports, research data and other materials produced by research organisations or by independent researchers and artists who do not have the possibility of publishing (archiving) and preserving electronic resources.
DiRROS offers a service for publishing and storing various electronic documents free of charge. Compatibility with Instructions OpenAIRE ensure the sharing of content with other repositories and compliance with the European Commission's provisions on the open accessibility of peer-reviewed scientific publications and research data resulting from publicly funded projects under the Framework Programmes FP7, Horizon 2020 and Horizon Europeas well as the requirements of the Slovenian national strategy, legislation, institutional policies and funders.
In the process of submitting to the repository, it is possible to trigger content similarity (plagiarism) detection for each material against all documents in the National Open Science Portal.
We can also advise you on the preparation of research data management plans and the submission of materials to subject, institutional or general repositories.
DiRROS Data
DiRROS Data is a web service of the DiRROS repository that provides researchers with information on Research Data Management (RDM), both for publications in the DiRROS repository and for publishing and archiving scientific works in other repositories or data sharing platforms.
DiRROS Data provides an overview of national and institutional policies on research data management in Slovenia and worldwide. You can see what the new Law on Scientific Research and Innovation brings, what the Common European Research Area sets for us and how countries outside the EU, such as the US, India and China, regulate data handling. We have translated the Research Data Management Plan for Horizon Europe projects and provided explanations and suggestions.
We have made recommendations on the design of numerical datasets and other files, the choice of data formats, the provision of metadata and the deposition of data in repositories. We also present some ways you can check the authenticity of data deposited in repositories by other researchers. We are constantly updating and updating the web service. Through DiRROS Data you can contact our information specialists who can also provide you with help and support in the different steps of handling your research data.
Project MEET
In the framework of the National Recovery and Resilience Plan (NRRP), implemented by the Ministry of Higher Education, Science and Innovation, we have started work on the implementation of the Law on Amendments and Additions to the Law on Access to Public Information (ZDIJZ-G), the Law on Scientific Research and Innovation Activities (ZZrID) and the related Regulation on the Conduct of Scientific Research in accordance with the principles of Open Science, in order to support the introduction of the Law on Amendments and Additions to the Law on Access to Public Information (ZDIJZ-G), the Law on Scientific Research and Innovation (ZZrID) and the related Regulation on the Conduct of Scientific Research in accordance with the principles of open science. Project KNOW - Support for the implementation of open science principles in Slovenia, which includes the adaptation of public research organisations and the Central Technical Library of the University of Ljubljana to work according to the principles of open science.
The project consortium established includes 20 of the 23 public research organisations eligible to apply for the call for proposals. In addition to strengthening training in this area, the project provides more direct work with researchers through advice, training, workshops, good practices, the introduction of data advisors, etc.
The KNOW consortium is also organising a series of presentations on open science. More information and links to the application forms are available at the project website. Consortium presentations are held in Slovenian and recorded, and the recordings are available for replay on the platform. Arnes Video. They are subsequently subtitled in Slovenian and English.
FAQ
WHAT IS RESEARCH DATA?
There is no universally accepted definition of research data, but it is generally agreed that it is all digital and non-digital content that is widely accepted in the research community as necessary to validate research findings and results. Sometimes derived or processed data is sufficient, but sometimes raw data is also needed. Whether data is research data and at which level it will be shared needs to be judged on a case-by-case basis. However, research data does not include laboratory notebooks, preliminary analyses, drafts of scientific papers, plans for future research, peer reviews, communication with colleagues and objects (e.g. laboratory samples, bacterial strains and test animals such as mice).
IS IT NECESSARY TO SHARE RESEARCH DATA OPENLY?
In accordance with Article 6c Act on amendments and supplements to the Act on Access to Public Information (ZDIJZ-G) and Article 4 Regulation on the conduct of scientific research work in accordance with the principles of open science research data should be shared if they are arising from research co-funded by public sources of at least 50 %. Data must be published in accordance with the FAIR Principles in open formats that adhere to formal open standards, in machine-readable formats, including metadata, except where this would conflict with the exceptions to access set out in Article 5a or 6 of the GDPR (which include, for example, the following. The justification for the exception must be explained in the research data management plan, but even in this case, where possible, research data and other research results must be made openly available in anonymised form or in controlled restricted form. If this is not possible, at least the metadata should be open, unless there are legal restrictions.
WHAT COUNTS AS OPEN RESEARCH DATA?
Open, openly available or publicly accessible data are data that are sufficient to FAIR principles. In a nutshell, this means that:
- deposited in a trusted repository, where they are provided with a persistent identifier and rich metadata (findability - findability and accessibility - accessibility),
- described in a formal, accessible and widely used language for disseminating knowledge (interoperability - interoperability),
- licensed under an open licence and provided with all the information (e.g. methods, protocols, software, etc.) that enables other researchers to understand and reuse it (reusability - usability).
IS RESEARCH DATA ENTERED IN COBISS?
Yes, research data can be The document/work typology for maintaining bibliographies in COBISS enter under 2.20 Completed scientific research database.
ARE RESEARCH DATA INCLUDED IN THE QUANTITATIVE ASSESSMENT (SCORING) OF SCIENTIFIC PERFORMANCE?
In accordance with Bibliographic criteria of scientific and professional meritdefined by the Slovenian Research Agency, a completed scientific database or corpus (2.20) from the Agency's list (BIBLIO-D) is scored 30 points. List BIBLIO-D so far includes only complete scientific datasets deposited in the Social Science Data Archive. A reform of this system is underway, which will define other trusted repositories and add them to the BIBLIO-D list.
Contact
You can contact us by email:
main contact email: podatki@ctk.uni-lj.si
- Dr Tea Romih, tel. 01 2003 412, e-mail: tea.romih@ctk.uni-lj.si
research data, get to know you project
- Dr Uroš Kunaver, tel. 01 2003 444, e-mail: uros.kunaver@ctk.uni-lj.si
Open Publications, technical support
- Darko Majcenović, tel. 01 2003 419, e-mail: darko.majcenovic@ctk.uni-lj.si
Open Publications
- Kenan Kozlica, tel. 01 2003 403, e-mail: kenan.kozlica@ctk.uni-lj.si
APC management (recording consumption and validation of APCs for ACS), open publishing analytics, repositories
- Petra Durini, tel. 01 2003 432, e-mail: petra.durini@ctk.uni-lj.si
repositories
- Magdalena Gapsa, tel. 01 2003 413, e-mail: magdalena.gapsa@ctk.uni-lj.si
get to know you project
