Organising research data

Organising research data

You want to store your research data in a structured way for later use in the working group or in preparation for a publication. On these pages we will show you how to use a data management plan to describe how to handle and organise your data. We will also show you where you can archive your research data to meet the requirements of funding organisations. We also provide a list of points of contact at the university for further information.

Organising data

Effective and secure handling of data requires the creation and use of clear structures for organising your data. Effective data organisation includes systematic folder structures, defining a uniform format for folder and file names, as well as suitable storage locations.

Meaningful naming components are, for example:

  • Title, with statement on content
  • Abbreviation of the person responsible for the file
  • Date in the format YYMMDD
  • Version number (e.g. "v02")

Example of a file name: <YYMMDD_TitleMeasurement_Series_Editor_Version>.



Data visualisation and analysis at the University of Rostock



Metadata standards

FAIRsharing is a curated platform for searching data and metadata standards. Different search entry points are offered: It is possible to search the name of the standard, to select specific properties of the standard, or to browse by subject area. The databases also contain policies.



Exchange, storage and long-term archiving of data

Rostock University's ITMZ and the library offer different options for storing and publishing your data.



Points of contact at the University

Topic Assistance and contact person
Applying for a project Service Centre Projects (S1)
Provision of necessary software IT and Media Centre software offers
Legal advice/ethics advice University’s data protection officer
Provision of necessary computing capacity IT and Media Centre’s High Performance Compute Cluster
DOI allocation Rostock University Library DOI
Record in the research information system Research database




Max Schröder
  • Design, implementation and operation of research data management services
  • Guidance and support for research data management and related services
  • Standardised descriptions of research processes, research data management and virtual research environments