1.1How will new data be collected or produced and/or how will existing data be reused? What standards, methodologies or software will be used if new data are collected or produced?1.2What data (for example the kinds, formats, and volumes) will be collected or produced?The descriptions should include the type, format and content of each dataset. Furthermore, provide an estimation of the volume of the generated data sets. Give details on the data format: the way in which the data is encoded for storage, often reflected by the filename extension (i.e. pdf. xls.) Give preference to open and standard formats.1Data description and collection or re-use of existing data2.1What metadata and documentation (for example methodology or data collection and way of organising data) will accompany data?2.2What data quality control measures will be used?2Documentation and data quality3.1How will data and metadata be stored and backed up during the research process?3.2How will data security and protection of sensitive data be taken care of during the research?If external services are asked for storage, it is important that this does not conflict with the policy of each entity involved in the project, especially concerning the issue of sensitive data. Consider data protection, particularly if your data is sensitive for example containing personal data, politically sensitive information, dual-use data. Explain which institutional data protection policies are in place.3Storage and backup during the research process4.1If personal data are processed, how will compliance with legislation on personal data and on data security be ensured?Ensure that when dealing with personal data protection laws (i.e. GDPR) are complied with gain informed consent for preservation and sharing personal data. Consider anonymisation or pseudonymisation of personal data. Consider encryption which is seen as a special case of pseudonymisation (the encryption key must be stored separately from the data). Explain whether there is a managed access procedure in place for authorized users of personal data.4.2How will other legal issues, such as intellectual property rights and ownership, be managed? What legislation is applicable? Outline the owners of the copyright and Intellectual Property Right (IPR) of all data that will be collected and generated, including the licence(s). For consortia, an IPR ownership agreement might be necessary. Furthermore, clarify whether there are any restrictions on the re-use of third-party data. Indicate whether intellectual property rights (for example Database Directive, sui generis rights) are affected.4Legal requirements, codes of conduct5.1How and when will data be shared? Are there possible restrictions to data sharing or embargo reasons?5.2How will data for preservation be selected, and where will data be preserved long term (for example a data repository or archive)?Consider how and on which repository the data will be made available. Outline the plan for data preservation and give information on how long the data will be retained. Consider the cost of data deposit and storage space for long-term storage. Estimate how much data storage space is needed for the entire duration of the project. Please, explain whether you choose digital repository maintained by a nonprofit organisation?5.3What methods or software tools will be needed to access and use the data?The methods applied to data sharing will depend on several factors such as type, size, complexity and sensitivity of data. Indicate whether potential users need specific tools to access and (re-)use the data. Consider the sustainability of software needed for accessing the data.5.4How will the application of a unique and persistent identifier (such as a Digital Object Identifier (DOI)) to each data set be ensured?Explain how the data might be re-used in other contexts. Persistent identifier should be applied so that data can be reliably and efficiently located and referred to. Persistent identifiers also help to track citations and reuse.5Data sharing and long-term preservationData have to be shared as soon as possible, but at the latest at the time of publication of the respective scientific output. Please, also consider how the reuse of your data will be valued and acknowledged by other researchers. Explain when the data will be made available. Justify the retention period for data storage. Indicate the expected timely release. Indicate whether data sharing will be postponed or restricted for example to publish, protect intellectual property, or seek patents. Consider whether a non-disclosure agreement would give sufficient protection for confidential data.6.1Who will be responsible for data management?6.2What resources will be dedicated to data management and ensuring that data will be FAIR?6Data management responsibilities and resources