Introduction to Research Data Management (RDM) and Open Science
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Best Practices for Research Data Management
Whenever you work with the research data or you start a new research project, the following aspects should be planned:
1. Storage and sharing of the research data with collaborators
One always has to estimate the size of the data collected or produced during the project and think where the data will be stored. It is also important to think about possible security level to access your data and regular backups. More information can be found in Sharing, storing, and archiving of the research data section.
Noteworthy, personal/sensitive and confidential data require a more careful approach when one chooses the platform for their storage and sharing. More information can be found in handling personal data and research ethics sections.
2. Organization and documentation of the research data
Even such an obvious question as organization and documentation of the research data requires careful planning with the key question: Will I be able to find and understand my data in 3 years? Some hints are good practices are described in Documenting, organizing and metadata of research data section.
3. Opening of the research data
Providing access to the research data becomes a general practice to validate scientific results and make the science fully transparent. Furthemore, funding agencies requirements on open data are arising year by year. Therefore, it is important to plan opening of the research data beforehand. More information is given in Publishing and reusing open data section.
4. Preservation of the research data
One has to consider what will happen with the data when the project is ended. Availability of the research data after the research project can be important not only right after the project, but also in 20-30 years. Thus, it is important to preserve the research data and ensure the access to it. More information can be found in Sharing, storing, and archiving of the research data section. Another way of preserving the data could be uploading it to repository. Check Publishing and reusing open data section for more details.
Learn more on research data management
Take a look at these detailed guides to learn how to manage your research data from planning your research to publishing results.
A Data Management Plan (DMP) is a formal document that specifies how research data are handled during and after a research project. DMP identifies key actions to ensure that research data are of a high quality, safe, sustainable and, if possible, also accessible and reusable.