1.1 1.1.1

1.2 1.2.1

1.3 1.3.1

1.4 1.4.1

1.5 1.5.1

1.6 1.6.1

1 Answer the following questions to provide a summary of the types and characteristics of data collected, generated, shared and re-used during your research activities. Highlight why it is of relevance to the project and useful to other researchers.

2.1.1 2.1.1.1 true true true true true 2.1.1.2 2.1.1.3 true

2.1.2 2.1.2.1 2.1.2.2

2.1.3 2.1.3.1 true true 2.1.3.2 2.1.3.3 true

2.1.4 2.1.4.1 2.1.4.2

2.1.5 2.1.5.1

2.1.6 2.1.6.1

2.1.7 2.1.7.1 true

2.1.8 2.1.8.1 2.1.8.2

2.1.9 2.1.9.1

2.1.10 2.1.10.1 true

2.1.11 2.1.11.1 Select a persistent identifier (PID) from the list. You may select multiple PIDs according to the types of research outputs, needs and the area of your research.

2.1.12 2.1.12.1 true

2.1.13 2.1.13.1 2.1.13.2 true

2.1.14 2.1.14.1 2.1.14.2

2.1.15 2.1.15.1 true false

2.1.16 2.1.16.1 2.1.16.2 true

2.1.17 2.1.17.1 2.1.17.2 Is the structure of the file(s) provided in a standardised format?

2.1.18 2.1.18.1 2.1.18.2 2.1.18.3

2.1.19 2.1.19.1 some none

2.1.20 2.1.20.1

2.1.21 2.1.21.1

2.1.22 2.1.22.1 forsomedata fornodata

2.1.23 2.1.23.1

2.1.24 2.1.24.1

2.1.25 2.1.25.1

2.1 Data are findable when described with metadata and vocabularies in a standardized way, assigned a Persistent Identifiers (PIDs) and are registered or indexed in a searchable resource

2.2.1 2.2.1.1 true

2.2.2 2.2.2.1 some none

2.2.3 2.2.3.1 2.2.3.2 2.2.3.3

2.2.4 2.2.4.1 2.2.4.2 2.2.4.3

2.2.5 2.2.5.1 2.2.5.2 true Select the repository where your data will be uploaded.

2.2.6 2.2.6.1 2.2.6.2

2.2.7 2.2.7.1

2.2.8 2.2.8.1 true true

2.2.9 2.2.9.1 2.2.9.2

2.2.10 2.2.10.1 2.2.10.2

2.2.11 2.2.11.1

2.2 Not all data can be made publicly open, hence data can be FAIR but not open, or open but not FAIR or both FAIR and open. Data are accessible when uploaded in a data repository and retrieved by their PIDs. When data can not be shared openly, metadata should be provided (even when the data are no longer available). In the case of sensitive or personal data, anonymization or pseudonymization and specific access rights can be applied. Where accessing data requires the use of complementary methods or tools, such procedures should be documented.

2.3.1 2.3.1.1 some none

2.3.2 2.3.2.1

2.3.3 2.3.3.1

2.3 Data are interoperable, meaning they can be easily understood and shared with other platforms and systems, when they are created using standard vocabularies and include references to other data and metadata.

2.4.1 2.4.1.1 later never

2.4.2 2.4.2.1

2.4.3 2.4.3.1

2.4.4 2.4.4.1

2.4.5 2.4.5.1 true

2.4.6 2.4.6.1

2.4.8 2.4.8.1

2.4.9 2.4.9.1

2.4 Data can be reused when the conditions about how others can make use of the data are well-described following community-standards and are communicated as specified by the owners. Such information can be found in licenses attributed to data and in references about the data provenance.

2.5.1 2.5.1.1

2.5.2 2.5.2.1 false

2.5.3 2.5.3.1

2.5.4 2.5.4.1 other

2.5 Data management can be costly, especially when its planning hasn't been sufficient from the very beginning of the research process. Costing of data management includes for example potential use of proprietary services and tools or extra effort needed to perform specific tasks or even to develop tools from scratch.

2 In general terms, your research data should be 'FAIR', that is findable, accessible, interoperable and re-usable. These principles precede implementation choices and do not necessarily suggest any specific technology, standard, or implementation-solution. This template is not intended as a strict technical implementation of the FAIR principles, it is rather inspired by FAIR as a general concept.

3.1 3.1.1 keptoninsecure

3.2 3.2.1

3

4.1 4.1.1 true

4.2 4.2.1

4