Research data management

Data management and research funding

Research data management (RDM) involves handling research data methodically and systematically. Handling data efficiently involves planning and implementing data analysis, storage, archiving and publication, as well as establishing standard practices.

RDM has become central to science policy during the last few years and is also a requirement and supported by major funding providers such as the Federal Ministry of Education and Research (BMBF), the European Research Council or the German Research Foundation (DFG). Detailed planning and characterization of research data management not only prevents data loss and increases the visibility, effectiveness and sustainability of your research, it also increases the chances of receiving funding.

Research data are a valuable resource in science. Handling this data in a responsible manner is decisive for preserving and transferring research findings, which, in turn, encourages scientific progress. Professional research data management offers many advantages to researchers, the users of this data and society as a whole and strengthens research activity.

FAU Competence Center Research Data and Information (FAU CDI)

The FAU Competence Center Research Data and Information (FAU CDI) was established as a central research institution in order to provide support to all researchers at the University and at Uniklinikum Erlangen with questions and tasks regarding research data management and the CRIS Research Information System.

This support includes providing advice with funding applications as well as special services for handling research data. In addition, FAU CDI is also directly involved in research projects.

FAU CDI collaborates closely with other organizational units:

Please write an e-mail to forschungsdaten@fau.de if you have any questions about research data management.