Research data is the data produced or used during the research process. Research results are based on it. Data can be in various forms: numerical, texts, pictures, voice recordings, videos, survey data, software, source codes, measurements, samples, notes.
Data management is the set of practices that make your data easier to find, use and keep secure during the whole data life cycle. It is recommended to follow FAIR principles which mean that the data is findable, accessible, interoperable, and re-usable.
Data management plan (DMP) is a document which describes the actions needed to manage the data. 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. 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.
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 require a data management plan. Data management policy is a document which offers guidelines and facilitates data management for those using the research infrastructure.
DMPTuuli is a tool for writing a data management plan. It includes guidelines from funders and organisations and gives phase by phase instructions on how to create a data management plan. 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.
In the beginning of the research data management plan is often compact, about 1-2 pages, but it can vary according to different funders guidelines. As the research progresses, the DMP becomes more precise and the length may increase. Research funders and organisations can have their own guidelines in DMPTuuli. You can use funders DMP templates or general national template in DMPTuuli when starting to write a data management plan. Notice also UEF instructions for managing data. National guidance for data management planning is available in Zenodo in English, Finnish and Swedish. For sensitive and confidential research data there are additional instructions. Research infrastructures should describe the main principles of data management. Guideline to data management policy for data infrastructures.
Before beginning the research it is important to define clearly the tasks, responsibilities and rights related to data management for all participants of research project, in the data management plan or as a separate contract. Escpesially the ownership of the data, rights to use and reuse must be agreed on. Also the resources for data management (including work contribution, expenses) must be planned beforehand.
Library’s research support specialists give training and guidance for writing a data management plan. Information about forthcoming trainings and support for data management plans from email@example.com.
More information about research data management
Basics of research data managemet, training material (UEF internal use)
Data Management Checklist (Fairdata)
Data management guidelines (FSD)