A data management plan (DMP) is a structured guide which keeps a record of what research data is created and what happens to that data during and after a project. This includes information about the origin of the data and contextual information relating to the data collection process, but also about possible restrictions on access to that data, as well as later citability, long-term availability and, if necessary, deletion.
A DMP helps with planning the research process and defining responsibilities in a research project involving several researchers or institutions. This also allows to identify possible expenditure of resources at an early stage.
Guide "How to write a data management plan (DMP)"
We have compiled a detailed guide with TU Wien-specific information on how to write a DMP. Please note that you must be a member of the TU Wien and logged in to see the button for the How To-download below.
For specific guidance on DMPs for FWF projects, see our page DMP requirements for FWF.
If you require further assistance in writing a DMP or would like to have your draft DMP checked, please contact us.
General guides and templates from funding bodies
DMP sample collection
Phaidra, the repository of the University of Vienna, provides an extensive collection of DMP examples, opens an external URL in a new window. The compilation contains over 800 data management plans from EU projects and is searchable by keyword.
Automated DMP tool
We are currently working on a tool to help researchers create DMPs.
Our goal is to minimize manual effort while maintaining the quality of the information provided.
Our solution is based on machine-actionable DMPs, the DMPs of the future. If you are interested in testing our tool and providing feedback, we look forward to hearing from you.
You can find a a clear presentation of this topic in the article "Ten principles for machine-actionable data management plans, opens an external URL in a new window".