The paper discusses the required linked data when scientific geographical data is published on the Web in a legible and traceable manner. The presented work results from the research project GLUES which aims at establishing an interdisciplinary platform for scientific data exchange. To facilitate the search for data and to assist the evaluation of the fitness for use, the published data must be connected to further metainformation, e.g. thematic classifications, semantic definitions of keywords and the data origin. Here the Linked Data paradigm promises manifold advantages, in particular if the reference to simulations or models the data originate from shall be provided.