The first part of the workshop will focus on key aspects of research data management, including the data lifecycle, the use of metadata, the FAIR principles, and the publication and preservation of research data. The second part will emphasise the handling of qualitative research data, such as scientific surveys or videos. In this section, we will address, for example, aspects of data anonymisation or the re-use of qualitative data. We will conclude with time for open discussion and a broad Q&A session.

In the context of unstructured data in business, economics, and other social sciences, research can focus on a wide range of topics, including but not limited to… the assessment or improvement of the quality of unstructured data - the development of data quality frameworks - applications for unstructured data in research - highlighting the challenges in collecting and curating unstructured data. The event brings together experts from diverse fields to share insights, experiences, and strategies for navigating the challenges and opportunities of working with unstructured data. It also explores the need for quality metrics in AI and official statistics development in business, economics, and related data.