9-11 October 2018
Europe/Lisbon timezone

Creating Easy-to-use Research Data Management Workflows - from Data Management Plan to Long-term Archiving

Not scheduled


ISCTE, University of Lisbon
Poster Posters


VOGL Raimund (University of Münster, Germany)


Against the background of the increasing digitisation of research, the importance of structured re-search data management (FDM), as required, for example, in the European Open Science Cloud (EOSC), can hardly be overestimated. In practice, however, these requirements have so far only been implemented unsatisfactorily, as various studies have shown. This is due in particular to the lack of easy-to-use tools. The aim of the sciebo.RDS project is therefore to develop a low-threshold offer for the management of research data, which is clearly designed as a service offer for scien-tists. The focus is on the development of a management suite for flexible integration and coupling with existing services and systems as well as the exemplary implementation of integrated scientific work processes (workflows) using real use cases. With the established collaboration service "sciebo - the Campuscloud", a productive platform already exists that allows data sharing and collaboration across universities. Sciebo is a cloud storage service currently used at 28 universities by around 100,000 people and around 1,600 research projects. Based on sciebo, tools, workflows and services are to be developed to support researchers in the implementation of structured research data man-agement, including templates for data management plans, the easy building of data packets with metadata and the storage of those data in repositories. The core idea is to collect the researchers by creating bridge functionalities where they already store a large part of their data during the research process and to provide them with easy-to-use tools, e.g. for data preparation, publication and seamless transfer to repositories or long-term archives. The focus is on those subject areas that have not yet developed their own subject-specific research data workflows, especially in the hu-manities. In addition, we are investigating how blockchain technology can be used for the valida-tion of research data.


The sciebo.RDS project aims to create easy-to-use, integrated research data management work-flows for scientists. Based on the established cloud storage service "sciebo - the Campuscloud", tools and interfaces will be developed. In concrete terms, tools for creating data management plans, analysis tools and repositories for long-time archiving are to be connected and integrated. The pro-ject is oriented towards specific use case, especially from the humanities, and is always closely aligned with user needs.

Type of abstract Presentation

Primary authors

Holger Angenent (University of Münster) Dr Rudolph Dominick (University of Münster) VOGL Raimund (University of Münster, Germany)

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