Open Access is a broad international movement that strives for free and open online access to scientific information. A publication is defined as ‘Open Access’ when there are no financial, legal or technical barriers to access. This means that anyone can read, download, copy, distribute and print the information for use in, for example, education or in any other way within the legal agreements.
Erasmus MC states that science should be freely accessible and reusable for everyone. After all, a large part of the research is publicly funded.
In addition, Open Access is also beneficial for the researcher:
- Results can be (re)used more easily.
- On average, open access articles are cited more often than closed articles.
- Increased visibility and discoverability of research.
- Scientific ideas are spread faster and more widely and can be used immediately in health care and education.
Erasmus MC’s policy is that all short scientific work must be published in Open Access. All Erasmus MC researchers are expected to make all their short scientific work available Open Access through Open Access publication in a journal or by depositing the work in the institutional repository Pure.
From March 10, 2025, the Taverne Regulation will come into force. The Taverne Regulation makes it possible to make the publisher’s version of short scholarly works public after a reasonable period through the institutional repository Pure. More information on Open Access publishing can be found on the Intranet page of the Medical Library.
Data is a collection of information and the foundation of all research. Data consists not only of quantitative information such as numbers but also qualitative information such as text and images. In other words, anything that can be used for analysis or to draw conclusions.
Open data refers to information that is freely available for general use, reuse, and distribution without restrictions. An open license, such as a Creative Commons license, is granted, imposing minimal restrictions on its (re)use.
Open Data also includes the use of research software. According to the NL eScience Center definition, research software is an umbrella term for codes, scripts, packages, tools, libraries, or programs that are developed or used for research. This means that research software includes, for example, the use of a research program (e.g., SPSS) for data processing and analysis (SPSS Syntax) or a virtual research environment such as the Digital Research Environment (DRE). This definition makes it clear that more researchers interact with research software than just those involved in "software-intensive" projects aimed at developing software products.
The international FAIR (Findable, Accessible, Interoperable, and Re-usable) principles go a step further than Open Data. FAIR principles are guidelines for the description, storage, and publication of scientific data. While Open Data focuses on unrestricted accessibility, the FAIR principles not only ensure clear accessibility but also enhance the quality and (re)usability of data. Within the FAIR principles, data can be published “as open as possible and as closed as necessary.”
Erasmus MC encourages the application of the FAIR principles since they align better with the vision and legal constraints of medical-scientific research at Erasmus MC. There may be reasons to restrict access to data, such as the General Data Protection Regulation (GDPR) or patents.
Importantly, making data FAIR is a mindset that every researcher or department must embrace and implement themselves.
Erasmus MC promotes the application of FAIR principles in research. Significant effort, time, and (public) funding are invested in collecting and processing data. The higher the quality, combinability, and availability of the produced data, the greater the potential for reuse and answering (new) research questions. Reusing data helps expand scientific knowledge and ultimately improves healthcare. The FAIR principles are essential in this process, increasing the impact of the produced data while also promoting research transparency.