What is it?

Research data includes all (digital) data that are the subject, work step or result of research processes.

Typical examples of research data are measurement data, laboratory values, audiovisual recordings and information, texts, survey data, objects from collections, methodological test procedures or simulations, source code and protocols. The variety of such data reflects the diversity and methodological development of scientific disciplines and research procedures.

Research data management (RDM) includes its planning, acquisition, processing, documentation, provision, and preservation.
Research data management aims to ensure access, re-use, reproducibility and quality assurance of all research data underlying scientific results.

Set basic structure

Research data management saves time and resources in the long run. Good management helps to prevent errors and increases the quality of your analyses. Well-managed and accessible data allows others to validate and replicate findings.

In this area you will find guidelines and events to lay the basics and improve RDM in your team!

Electronic Notebooks:

Electronic laboratory notebooks (ELN) are software products for documenting the planning, execution and evaluation of laboratory experiments and will replace their analog (handwritten or printed) predecessors in the medium term.

Our participatiung universities are offering several options to rent storage for your research:

RPTU Kaiserslautern-Landau:

Storage

Virtual Machines

Johannes Gutenberg University of Mainz:

Data Management