This guide provides information about DMPTuuli tool, and how you can use it in writing a data management plan. The structure of the guide follows the structure of the general DMPTuuli template.
For more information about research data management, and how to open and store your research data, see the Research Data Management guide.
1. General description of data
6. Responsibilities and resources
Research Data Management (a separate guide)
The library provides support to creating data management plans (DMP) and managing and describing data throughout its life cycle. The easiest way to contact us is by e-mail:
Maaria Harviainen, information specialist
maaria.harviainen@uniarts.fi
tel. 040 710 4225
Harri Ollikainen, information specialist
harri.ollikainen@uniarts.fi
tel. 050 477 5445
Sections from Jyväskylä University DMP guide has been used on these pages, licensed under a Creative Commons Attribution 4.0 International License.
DMPTuuli is a tool for researchers with which you can write data management plans (DMP). It can be used while writing the research plan or funding apllication, and to support research data management (RDM) at various stages of the research process. See also DMPTuuli's various templates and instructions relevant to different funders, research organizations and data types.
A research data management plan includes:
Attach the plan (1-4 pages) to your research plan or funding application.
If your research doesn't produce new data that can be archived or the data that's being used is already open, even then describe the data briefly and attach it to your application. All in all, answer the questions if and when they are relevant to your research and research data. If you only use data that is already openly available, you don't have to save or archive it again.
If your data is confidential and cannot be opened, you can mention this in the attachment. The description of the data (metadata) should however be recorded in a national or international data repository.
Why should you manage your research data and write a data management plan (DMP)?
A clearly written data management plan supports the principles of open science and contributes to the creation of new innovations and ideas, and fruitful collaboration.
Your DMP should describe how you manage data during as well as after the research project. The plan should be updated as the research project evolves.
Your research data management practices should follow the FAIR principles, which require that your data will be Findable, Accessible, Interoperable and Re-usable.
In the DMP data is understood as a broad term including but not limited to:
DMPs from different fields of science for comparison. Note that public DMPs in e.g. DMPTuuli have not been vetted for quality.
