This assignment template was created to complement the FAIR-Aware Tool. FAIR-Aware (https://fairaware.dans.knaw.nl/) was created by DANS in the FAIRsFAIR1 project and is currently further developed in the FAIR-IMPACT2 project. FAIR-Aware is a versatile and flexible tool to use in education and training. This assignment template is a Train-the-trainer resource intended to help trainers develop their own training on the FAIR-Aware tool, and can be used individually or collaboratively within a training context. Within this description is the README for using the template.

1 FAIRsFAIR “Fostering FAIR Data Practices In Europe” has received funding from the European Union’s Horizon 2020 project call H2020-INFRAEOSC-2018-2020 Grant agreement 831558. The content of this document does not represent the opinion of the European Union, and the European Union is not responsible for any use that might be made of such content.

2 FAIR-IMPACT “Expanding FAIR solutions across EOSC” is funded by the European Union.

README:

This template is intended to be used collaboratively in a train-the-trainer context: Whether hosted in a collaborative working space (Google Sheets, Sharepoint, etc.) or worked on concurrently across various iterations (e.g. individuals filling in their own columns), either synchronously or asynchronously, this template aims to help users develop their own FAIR-Aware training with several aspects in mind. Below is a list of the column headers and the intended contents. There is a worked example in row 6 of the template.

Columns A through D: Contact information for the users of the assignment, assuming that the output of the assignment would be shared publicly (such as through a Zenodo upload). In column B, the drop-down menu would be used to indicate giving consent or withholding consent to have the content in that row included in a published version (opt-in). We encourage trainers to use the ORCiD system wherever possible to track the contributions of their attendees who agree to be published (D).

Columns E through N: The training design is determined through various angles in these columns, including the learning outcomes (F), target audience (G) and audience size (J), plans for re-use of materials (I), logistical considerations (K & L), as well as post-event promotion (M & N). Some of these columns may be outside of the remit of the trainer, such as logistics, but should always be checked.

Column O: Other comments for the training planning.

Columns P through V:"Disaster planning" is essentially thinking of worst-case scenarios and what is within the control of the trainer to prepare for the worst. The categories within these columns are specific examples, such as if there is no registration step for the training to determine audience size (P), if a fellow trainer is unavailable to assist (Q), if the tools being used are unavailable (R), numbers of participants being too few or too many (S), the background of participants related to tailoring or generalising training (T), technology issues (U), or other disasters (V).  

Note on contents:

The assignment template is distributed the same across two file formats: .xlsx and .csv. The .xlsx file is the most (web) accessible while the .csv file is the most open. In case of formatting issues, the .xlsx would be considered the reference file.