Data Management Plan
What is research data?
Research data is "data collected or produced (e.g. measurements, questionnaires or source materials) in the course of scholarly activity which is used for the purposes of academic research (e.g. digital copies) or which document research findings [...]". forschungsdaten.info
Some examples of research data
- Sources: Texts, images, sound recordings, films/videos
- Observations: Real-time data, examination data
- Experiments: Laboratory values, spectrograms
- Simulations: Simulation measurements, model measurements
- References: Collection of already published datasets
- Methodological methods such as questionnaires, software or simulations
What is a data management plan?
A data management plan (DMP) forms the basis of good research data management. The DMP describes the life cycle of research data and is intended for long-term use. It describes how the data is to be produced, collected, documented, published and archived during a project.
An integral part of a DMP is the description of the research data in accordance with the FAIR principles. Among other things, a DMP should include information about the following:
- Data collection and documentation
- Ethical, legal and security issues
- Data storage and preservation
- Data exchange and reuse
The DMP is submitted along with the project proposal (SNF) or shortly after the project has commenced (H2020), and it should be updated and extended at regular intervals. As it describes discipline-specific practices and standards, the content may differ from project to project.
Further information about requirements can be found under Funding requirements.
More and more funding agencies and institutions require publications and research data to be provided on an open access basis.
The submission of a data management plan is a mandatory integral part of the research proposal.
Research data must be archived in open access repositories, unless there are legal, ethical, copyright or other constraints on data sharing.
The data management plan must be submitted within the first six months of starting the project.
Research data must be archived in open access repositories, unless there are legal, ethical, copyright or other constraints on data sharing. Justified opt-outs are possible.
Funders are aware that publishing data can entail additional expense so some costs are eligible for funding.
Costs incurred in order to enable access to research data collected, observed or generated in connection with Horizon 2020 projects are eligible for reimbursement during the course of the project.
Templates, tools and examples