Abstract
Science conducted in cross-institutional, interdisciplinary, long-term research projects requires active sharing of data, documents and further information. Thus, within the Collaborative Research Centre/Transregio 32 ‘Patterns in Soil-Vegetation-Atmosphere Systems’, funded by the German Research Foundation, research data management (RDM) services have been available since early 2007. These services were established to support all researchers during their entire individual research studies. They cover provision of general guidance, support and training for RDM. To fulfil the scientists’ needs and requests with regard to storage, backup, documentation, search and sharing of data with other project members, a project-specific RDM system was designed and implemented. This system was developed and continuously modified in collaboration with the scientists to facilitate their system acceptance. Besides the mentioned services, the system supports further common services such as controlled access to data, rights management, data publication with DOI and data statistics (on repository and single data level). All RDM services provided for the scientists are thus bundled and available to the users in one system: a ‘one-stop-shop’. After more than ten years of RDM service provision for the CRC/TR32, the repository statistics clearly visualize the use of the diverse RDM system services. Furthermore, it has been shown that an RDM adapted to the needs of interdisciplinary researchers can be fruitful and indispensable when scientists conduct their research study e.g. with a time lag. RDM services established at an early stage can contribute to a successful long-term research project.
Highlights
In the last decade, the importance of research data management (RDM) has increased in many research areas
It is important to establish appropriate, supporting research data management (RDM) services and infrastructure for the scientists according to their needs from the beginning of the project
This paper presented an overview of established RDM services that were set up for the long-term, interdisciplinary DFG-funded research project Collaborative Research Centre/Transregio 32 (CRC/TR32), which focused on research in patterns in soil, vegetation and atmosphere systems
Summary
The importance of research data management (RDM) has increased in many research areas. Appropriate infrastructures can improve collaboration between scientists and link research results, and are crucial for developing synergies They should support scientists during the research data life cycle (e.g. data collection, storage, sharing, documentation). The German Research Foundation (DFG) provides funding on request to establish infrastructures and RDM services according to needs of the scientists in ‘Information Infrastructure’ (INF) service projects (Redöhl 2016). This contribution presents the RDM practices for the interdisciplinary, DFG-funded, research project ‘Patterns in Soil-Vegetation-Atmosphere Systems: Monitoring, Modelling, and Data Assimilation’, as exemplary RDM services developed within an INF service project.
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