We advise you on the selection of comprehensive or discipline-specific checklists and guidelines.
Data management in a new project begins with an estimation of the accumulating data amounts and their contextual classification. Looking back at experiences from other projects helps to avoid overseeing any important aspects. This is possible through the use of checklists and guidelines.
Checklists address, among others, the following questions:
- What types of data are being produced?
- What would happen if data is lost during the course of the project or becomes unusable?
- Who controls the data?
- How long should the data be stored?
- What software exists to create and edit this data?
- What file formats are used? What are the resulting requirements for longterm availability?
- What do the storage and backup strategies look like?
- What are the project sponsors' demands wtih regards to data management and publication?
- What discipline-specific standards exist for the data description (metadata standard)?
Guidelines for research data management supplement the checklists. They contain detailed explanations for the individual questions and help you to make appropriate decisions for your project. These guidelines contain not only additional background information but also alternative decisions and criteria for their selection.