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


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

Max Schröder

Tel.: +49 381 498-8693

  • 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