Data management plan: DMPTuuli
The Publishing and Data Policy of the University of Eastern Finland requires that a research data management plan is made for the research at the planning phase. Besides the research organisations, an increasing number of research funders (e.g. The Academy of Finland, Horizon 2020 programme) require a research data management plan. With the help of a data management plan, a researcher can perceive the entire life cycle of the research data, diminish the risks related to it as well as ensure its ethical, secure and efficient use during and after the research.
It is advisable already in the early stages of the research process to find out the obligations imposed on the researcher by the different agreements, laws and instructions, as well as to find out how it is possible to carry out the research so that as much as possible can be published in open access. You can find more information on the Open Access –publishing and open data from Open UEF pages.
Data management planning tool DMPTuuli has been developed to help you write data management plans. It gives Finnish research organisations phase by phase instructions on how to create a data management plan. Examples of answers and additional instructions are available in order to help you formulate the answers. Research funders and organisations can create their own data management guidelines and instructions to DMPTuuli (e.g. UEF guidelines), and it is advisable to follow those guidelines. You can choose required guidelines in DMPTuuli when you start writing the data management plan. In DMPTuuli, you can work on the plan together with your colleagues. You can attach the completed data management plan to the funding application in required form (e.g. docx, pdf).
Sign up and log in to DMPTuuli here.
The following information on the research data must be included in the data management plan:
- methods of collecting and handling research data and ways of storing metadata
- copyright and usage rights
- privacy protection and information security
- backups and storing (incl. long-term preservation of data)
- software and formats in use
- future usability
- plan on how to destroy research data, if necessary
- required resources
Good data management requires that data is described and stored so that its opening and future usage are ensured (more information on metadata). Even though it is possible to expand on the plan during the research project, the most important guidelines and principles must be contemplated on before the project starts.
If you do not want to write a data management plan using the data management planning tool Tuuli, you can write the plan according to the guidelines and instructions of the funder and research organisation.
For more information
tel. 0294 45 8101
tel. 0294 45 8213
tel. 0294 45 8303
UEF Guidelines for the Finnish Academy's data management plan, UEF
Data Management Planning, Finnish Social Science Data Archive
Data Management Guidelines, Finnish Social Science Data Archive
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