Guidelines
The University of Münster and most funding organizations expect researchers to handle their research data, adequately. Below you can find orientation about the most important guidelines and policies.
The University of Münster and most funding organizations expect researchers to handle their research data, adequately. Below you can find orientation about the most important guidelines and policies.
The University of Münster understands research data as scientific creation and attaches great importance to it. The rectorate and the senate of the University of Münster therefore adopted the Principles for handling research data in summer 2017.
The University of Münster has also created a code of honor Rules of good scientific practice, which commits the university’s scientists to the principles of scientific honesty and fairness.
All publishers of the University of Münster are obliged to state their institutional affiliation in a uniform manner. Among other things this is important to increase the visibility of the University of Münster. Details can be found in the affiliation guidelines of the University of Münster.
The University of Münster is committed to open access publishing. In 2012, the Rectorate therefore adopted an open access declaration in which the university's academics are encouraged to make the results of their research work as freely accessible as possible.
As one of the largest German research funding organizations, the DFG has established interdisciplinary guidelines to ensure good scientific practice. They offer all scientists a reliable canon to anchor good scientific practice as an integral part of their work.
In its guidelines on handling research data, the DFG provides concrete specifications and information on handling research data, e.g. with regard to publication or preservation.
With its paper Open Science as part of the science culture the DFG pronounces the need for further development of open science principles and practices.
Some research disciplines already have developed discipline specific guidelines for research data management. In the following you will find selected RDM-guidelines of some individual disciplines: