Research data management gets more and more international attention, and one of its major components are research data management plans. Various funding agencies, e.g. the National Science Foundation in the US, the Schweizer Nationalfonds (SNF), the Deutsche Forschungsgemeinschaft (DFG), and very prominently the European Commission with Horizon 2020 (H2020) ask for concise descriptions of data management as part of a funding proposal. Also, initiatives like the Research Data Alliance (RDA) or the DINI/nestor workgroup Research Data are focusing attention on this topic. Management of research data is no longer viewed as done by drafting merely a static research data management plan, but is now regarded as a process of active support and care during the whole research process. Different participants of the research process need different and up-to-date status information. A tool to support data management during the whole research process has more to deliver than a plain document as required by the respective funding agencies. The Research Data Management Organiser (RDMO) is a companion tool for organising this process as a collaborative effort of various stakeholders or participants. RDMO features multilingual capabilities, adaptability to requirements of communities or organisations, a templating system for export of collected data, snapshotting and timeline capabilities. A second project phase, also funded by DFG, has started end of 2017 to extend RDMO’s technical capabilities and ease of use, and to address the aspects of sustainability and community support.