The Semantically Mapping Science (SMS) platform provides access to more than 40 interlinked datasets relevant for science, technology and innovation studies, plus a set of tools to link, disambiguate, enrich and geo-locate the data. Datasets cover R&D intensive organizations (universities, companies, hospitals, NGOs, governmental organizations, etc.), research projects, funding programs, university rankings, patents etc. As the datasets are linked with each other, users can retrieve a dataset which is tailored to the research questions to be answered. And, linking datasets increases coverage and the number of variables available for analysis. Some of the RISIS datasets are also included in the SMS data store, but not all. Examples are ETER, OrgReg, Leiden Ranking, MORE, and partly EUPRO.