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Research Data Management
Research data are crucial to the research process. Proper and organized handling of these data is essential to uphold good scientific practice, ensuring that research findings are traceable and verifiable. Research data management encompasses the entire life cycle of research data, from planning, creation, analysis, and processing, to their description through metadata and storage. It culminates in the publication and future use of the data, such as depositing them in a repository for long-term archiving and access.
Data Management Plan
A data management plan (DMP) outlines and organizes the management of research data throughout the entire research lifecycle. It serves as a tool for planning, tracking progress, preventing data loss, and defining responsibilities early in the process. The DMP addresses key questions such as:
- What data will be collected, and by what methods?
- How will the data be stored?
- In what ways will the data be utilized?
- How will the data be preserved and made available to others after the project concludes?
Many funding bodies, including the FWF and the European Commission, require applicants to include data management plans with their grant proposals. A DMP is considered a "living" document, meaning it should be updated throughout the project, especially when significant changes occur, according to the requirements of the funding agency. It is important to review the specific requirements of the funding agency for your grant. Additional guidance and details on what should be included in a DMP can be found at:
FWF DMP template and further information
Horizon 2020 FAIR Data Management Plan (DMP) Template
DMP Writing Guide from the MIT Libraries
DMP Writing Guide of the Digital Curation Centre
DMPonline
Data Management Tool of the California Digital Library
Data Management Tool RDMO
DMP Wizard
General information about DMP
Amnesia - Anonymization of Research Data (OpenAIRE)
Where to publish
Funding agencies are increasingly mandating that researches provide open access to research data from funded projects. Similarly, many publishers and journals also require the publication of data alongside the research paper e.g. as supplementary material, to ensure the transparency and reproducibility of research results.
The data should be published and stored in appropriate and trusted digital repositories. A trusted digital repository is committed to maintaining the repository in perpetuity, ensures minimal to zero data loss or data rot, and allows for version control. For instance, suitable solutions are subject-specific repositories such as Publisso, or interdisciplinary repositories such as Zenodo. You can also check the registry of all repositories re3data.org.