1.1.1dmp1.1.1.1What quality assurance processes will you use?
1.1.21.1.2.1Which existing data (yours or third party) will you re-use?
1.1.31.1.3.1How data provenance will be documented?
1.1.41.1.4.1How will you organize your files and handle versioning?
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?
1.2.11.2.1.1What is the purpose of the data collection/generation and its relation to the objectives of the project?
1.2.21.2.2.1 What is the origin of the data?
1.2.31.2.3.11.2.3.21.2.3.31.2.3.4What type, format and volume of data will you collect, generate or reuse?
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 data
2.1.12.1.1.1truetruetrue2.1.1.22.1.1.3trueWill you use metadata to describe the data?
2.1.22.1.2.12.1.2.2URL/Location
2.1.32.1.3.1truetrue2.1.3.22.1.3.3trueWill your metadata use standardised vocabularies?
2.1.42.1.4.12.1.4.2URL/Description
2.1.52.1.5.1What information is required for users (computer or human) to read and interpret the data in the future?
2.1.62.1.6.1trueIs the data machine-readable?
2.1.72.1.7.1trueWill you provide searchable metadata for your data?
2.1.82.1.8.12.1.8.2trueWhat services will you use to provide searchable metadata?
2.1.92.1.9.12.1.9.2URL/Name
2.1.102.1.10.1How will you generate this documentation?
2.1.112.1.11.1trueWill you use standardized formats to annotate some or all of your (meta)data?
2.1.122.1.12.12.1.12.2trueWhich standardised data formats do you plan on using?
2.1.132.1.13.12.1.13.2Other standardized formatsIs the structure of the file(s) provided in a standardized format?
2.1.142.1.14.1Will you use international standards or schemes (i.e. Dublin Core, DDI) to structure metadata?
2.1.152.1.15.1 Persistent identifiers
2.1What metadata and documentation (for example methodology or data collection and way of organising data) will accompany data?
2.2.12.2.1.1true2.2.1.2Do you have documented procedures for quality assurance of your data?
2.2.22.2.2.1How the data collection, analysis and processing methods used may affect the quality of data?
2.2.32.2.3.1How measurement error and bias will be eliminated?
2.2.42.2.4.1How you will minimise the risks related to data accuracy?
2.2What data quality control measures will be used?
2Documentation and data quality
3.1.13.1.1.13.1.1.2What is your storage capacity and where will the data be stored?
3.1.23.1.2.1What are the back-up procedures?
3.1.33.1.3.1Are special measures needed to transfer data from mobile devices, from fieldwork sites or from home equipment to a central work server?
3.1.43.1.4.1Do analogue or paper-based research data (maps, photographs, text) need to be digitised to increase their potential for sharing?
3.1How will data and metadata be stored and backed up during the research process?
3.2.13.2.1.1keptoninsecureWhat do you plan to do with research data of limited use
3.2.23.2.2.1Please describe why the data will be kept on insecure, unmanaged storage
3.2.33.2.3.1How the data will be recovered in the event of an incident?
3.2.43.2.4.1Who will have an access to the data during the research?
3.2.53.2.5.1How access to data will be controlled, especially in collaborative partnerships?
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 process
5.1.15.1.1.1How will potential users find out about your data?
5.1.25.1.2.1For how long will the data be stored?
5.1.35.1.3.1Are there any barriers and constraints to making the research data fully or partially accessible?
5.1.45.1.4.1Will journal publishers require deposit of data supporting article findings?
5.1.55.1.5.1Do you need to ask participants for their consent for data to be shared?
5.1How and when will data be shared? Are there possible restrictions to data sharing or embargo reasons?
5.2.15.2.1.15.2.1.25.2.1.3What data must be retained or destroyed for contractual, legal, or regulatory purposes?
5.2.25.2.2.1How it will be decided what data to keep?
5.2.35.2.3.1What procedure would be used to select data to be preserved?
5.2.45.2.4.15.2.4.2true5.2.4.3What repository will you be using? Is this repository conform to the FAIR Data Principles?
5.2.55.2.5.15.2.5.2URL/Name
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?
5.3.15.3.1.1Do data need to be converted to a standard or open format with long-term validity for long-term preservation?
5.3.25.3.2.1Is additional equipment or software needed for scanning or conversion?
5.3.35.3.3.1What mechanism will be used for data sharing; e.g. request handled directly, repository?
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.
5.4.15.4.1.1trueWill persistent identifier for the data be obtained?
5.4.25.4.2.1Which existing persistent identifier will be used (e.g. Digital Object Identifiers, Accession Numbers)?
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.
6.1.16.1.1.1Who will be responsible for data management (i.e. data steward)?
6.1.26.1.2.1What is the role of data steward in your institution?
6.1.36.1.3.1What is his/her position in the institution?
6.1Who will be responsible for data management?
6.2.16.2.1.1What resources will be dedicated to data management and ensuring that data will be FAIR?
6.2.26.2.2.1What are the costs for making data FAIR in your project?
6.2.36.2.3.1How will these be covered?
6.2What resources will be dedicated to data management and ensuring that data will be FAIR?
6Data management responsibilities and resources