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Research Data

Research data refers to information that is collected, stored, and processed to generate and validate research results. They are an essential basis of scientific work and should therefore be managed appropriately and efficiently.


Research Data Management

Research data management is about ensuring that the right decisions are made in the creation, organization, storage, and dissemination of data. Research data management (RDM) also involves considerations about how to maintain data for the span of a project and beyond.

Advantages of good research data management

  • Data security is increased, data loss is minimized.

  • Via good documentation, research processes are transparent and can be scrutinized in line with good scientific practices.

  • A good RDM helps to comply with the different requirements of the various funder agencies.

  • Research results comply with the FAIR standard and can thus be replicated.

RDM at MLU - consulting and training offers

Since 2020, the Open Science team has been conducting specialised workshops and events for various disciplines designed to delve deeper into specific challenges and issues particular research communities and groups at MLU are facing.

Also in the past years, we already have conducted several workshops and presentations with a number of research groups and areas, including the (bio)medical sciences, the faculty of arts III – education, the IZEA, and the FCGL – the Forensic Computational Geometry Laboratory.

The Open Science team provides regular training and workshops on, for example, FAIR data, research data management, research software, repositories, file formats, metadata standards, etc.


If you need assistance with a specific FDM topic or are interested in a specific training, visit our Consultation Hour or contact us: