Hrčak portal - the central resource for scientific and professional journals in Croatia Hrčak is the official digital portal of Croatian scientific and professional journals, creat...
Hrčak is the official digital portal of Croatian scientific and professional journals, created for centralized access to publications that provide open access to the full text of their articles or at least minimal bibliographic data and annotations.
The Hrčak website is a key tool in the system of scientific and academic communication in Croatia. It unites more than 559 journalsthat have published more than 311,885 full text articlesand have registered more than 96,472 ORCID identifiers. This makes the portal one of the most significant resources for researchers, teachers, students and specialists in various fields of knowledge.
In September 2023, Hrčak introduced a new advanced feature - automatic generation of JATS XML files from Word documents (DOCX). This feature is based on two powerful tools:
This greatly simplifies the process of preparing scientific articles for publication in digital format, increasing the quality and standardization of data. To support users, webinars were organized, video instructions and materials were published in a digital repository. In addition, Hrčak regularly conducts online consultations and live master classes for magazine editors.
The portal actively presents the latest issues of magazines in various areas:
In the “Top 10 Latest Online Publications” section, you can find the latest articles on current topics, as well as view new journal issues by release date.
Official website: hrcak.srce.hr
Hrčak is the central portal of Croatian scientific and professional journals, bringing together publications with open access or minimal bibliographic data.
The portal contains more than 559 journals, 311,885 full text articles, 96,472 ORCID identifiers, as well as the latest issues and the latest publications.
The portal uses Pandoc and AnyStyle tools to automatically convert DOCX files to JATS XML. AnyStyle is based on machine learning and recognizes links in texts.
Assistance is provided through video instructions, webinars, online consultations, live workshops and digital repository materials.
Registration is available through the “Prijava i registracija” section on the main page of the portal.
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