1. Data description and collection or reuse of existing data
1.a. How will new data be collected or produced and/or how will existing data be reused?
1.b. What data (for example the kinds, formats, and volumes) will be collected or produced?
2. Documentation and data quality
2.a. What metadata and documentation will accompany the data?
2b. What data quality control measures will be used?
3. Storage and backup during the research process
3a. How will data and metadata be stored and backed up during the research?
3b. How will data security and protection of sensitive data be taken care of during the research?
4. Legal and ethical requirements, codes of conduct
4a. If personal data are processed, how will compliance with legislation on personal data and security be ensured?
4b. How will other legal issues, such as intellectual property rights and ownership, be managed? What legislation is applicable?
4c. What ethical issues and codes of conduct are there, and how will they be taken into account?
5. Data sharing and long-term preservation
5a. How and when will data be shared? Are there possible restrictions to data sharing or embargo reasons?
5b. How will data for preservation be selected, and where data will be preserved long-term (for example a data repository or archive)?
5c. What methods or software tools are needed to access and use data?
5d. How will the application of a unique and persistent identifier (such as a Digital Object Identifier - DOI) to each data set be ensured?