The purpose of the workshop is to provide guidelines, tips and tricks, do’s and don’t’s when preparing a paper for submission to an academic journal and when performing a peer review of a paper that was submitted for publication.

Attention will be devoted to demonstrating relevance and fleshing out the contribution of an article, developing a conceptual framework, research questions and hypotheses, developing and describing a research method and the results of empirical work, and writing a compelling discussion section. The purpose of peer reviewing will be explained, and the duties and tasks of an academic peer reviewer will be discussed. All these principles and guidelines will be illustrated by means of real-life examples.

Participants are expected to actively contribute to the discussion and are invited to share their own publishing and reviewing issues with the other participants.

​Prof. Dr. Patrick De Pelsmacker​

Research data form the beating heart of academic research, making solid management of your research data not just an option but a necessity. Above all, research data management (RDM) is about risk management to ensure the quality, sustainability and (re)usability of your data. Good data management includes all steps of the research data life cycle: planning, creation, processing, analysis, storage, preservation, access, sharing, and reuse. All these steps are bound by conditions and regulations at both legal, ethical and technological levels.

During this workshop, we will explore the key principles and best practices of research data management. The workshop will highlight the benefits of proper data management, such as enhancing the reproducibility and transparency of research and ensuring compliance with funding and institutional requirements. However, meeting the expectations and obligations of funders and/or institutions is not the only reason why RDM matters. Proper research data management will also maximize the impact and visibility of your work. It is a crucial aspect of good research practice, providing significant benefits for you, your research and the wider research community.

​Linde Tuybens, Research Data Steward at RIVA, will give this lecture.

More info will follow.