Prior knowledge of existing methodologies and resources is essential for a comprehensive understanding of research. In scholarly papers, citations help readers identify prior knowledge. However, research data, such as datasets, lack such mechanisms, making it difficult to trace their origins. In this study, we discuss approaches to acquiring information about the origins of research data, i.e., research data provenance. We focused on scholarly papers as a source for acquiring information about research data provenance, as they often include descriptions of how research data were created. Accordingly, we conducted a preliminary experiment on extracting information about research data provenance from scholarly papers using large language models (LLMs). The results demonstrated the feasibility of extracting information about research data provenance from scholarly papers.