Swedish researchers are encouraged to share their research data, with a government goal for all publicly funded research to provide open research data by 2026. Hoshi Larsson (2023) investigated the extent and location of research data from LiU researchers. However, the search was limited to datasets with DOIs listed in DataCite Commons, suggesting that many datasets were excluded in the investigation. Therefore, the purpose of this study is to identify, through articles’ descriptions of open data, to what extent LiU’s researchers are sharing their research data and open code, and if so, which repositories they use for sharing data. This report analyzed LiU articles parallel published in the institute's repository DiVA in 2022 using the ODDPub text-mining algorithm to determine the extent and repositories of LiU researcher’s open research data. The results showed that approximately 10 percent of the articles mentioned data availability, and almost two thirds of the openly shared datasets were in subject-specific repositories. Furthermore, approximately 80% of the total number of repositories used for sharing research data were subject-specific repositories. Additionally, 90 percent of LiU's parallel published articles did not mention data availability. The mismatch between data sharing articles detected in Hoshi Larsson (2023) and in this report suggests that findability remains low. The university library should guide researchers on the benefits of data sharing and the importance of findability and provide support in making their research data accessible.