The publication of research data increases the visibility, transparency and traceability of both the data itself and the associated research. And yet the research data is not sufficiently published. Researchers are faced with many questions and doubts: What is the benefit of publishing my research data? What if someone "steals" my research question? Does the data belong to me? Am I allowed to publish the research data at all? The last question in particular seems to prevent researchers from publishing their research data. However, in the presumed conflict between handling of research data and the issues of data privacy, it is important to adapt the concrete design of protection standards to the realities practiced, and still be able to publish the data in order to withstand scientific competition. The Humboldt-Elsevier Advanced Data and Text Centre (HEADT Centre) is a research initiative with a focus on research integrity and its various facets. It includes all ways of managing, manipulating, mining, reading, and understanding text and data (including images) in all forms and formats. The first phase of the research presented here provides an overview of the various barriers to the publication of research data. The data was collected through interviews with researchers with different levels of scientific experience. To consider differences between disciplines, researchers in learning analytics, medicine and climate impact research were interviewed. These disciplines show large variations in the type of research data in terms of data sensitivity. In addition, different legal regulations and cultural factors lead to different starting situations. Based on the strength of the regulations and enforcement, the following countries are therefore compared in the research: Germany, Peru, India and China. The poster shows the first findings from the project on the presumed conflict between handling of research data and the issues of data protection of the HEADT Centre.