Data sharing and curation are currently among the biggest issues in science. Recent studies suggest that up to 80% of original research data are lost within two decades after publication. In response, funding agencies introduce data-sharing mandates and increasingly require researchers to share their data. Research Institutes need to adopt best data sharing practices and increase their competitiveness in the Research Data Management (RDM) space in order to optimize the use of their local resources, ensure collaboration and acquire more finding. Many universities recommend data management tools to their researchers but they lack visibility of events in the RDM space across their organization and hence don’t know how these tools are being used. Universities have very little means for engaging with their researchers and measuring success of engagement efforts. Adoption of freely available RDM resources by researchers is often unknown to the university, while adoption rates of in-house RDM services remain low (e.g.: less than 10% for institutional data repositories). Another challenge that universities are facing is that they don’t have means to change researcher behavior with regard to data sharing. The Data Lighthouse is a publisher-agnostic service developed to bridge this gap. It is aimed to help universities comply with the data management policies and manage their research data effectively. It is a service for data librarians to engage with researchers, train and guide them through the research data life cycle. In this panel presentation, we will explain the Data Lighthouse functionality and report on the main findings of the recent pilot conducted in the collaboration with our research partners. ________________________________ Elsevier B.V. Registered Office: Radarweg 29, 1043 NX Amsterdam, The Netherlands, Registration No. 33156677, Registered in The Netherlands.