Which domain do you work in?
Which of the following describes your role? Please select all that apply.
Which of the following types of organisations best describes your employer? Please select all that apply.
Are any of the issues covered in this assessment difficult to understand and/or answer? Please indicate them below.
Are there any issues relevant to your discipline and/or needed for enabling reusability of your dataset that are missing from this assessment? If yes, please describe them below. (Please do not include any personal data, such as your name and email address in your response.)
Please submit any other feedback on how we might improve the FAIR-Aware assessment tool,
including on possible additional guidance?
(Please do not include any personal data, such as your name and email address in your response.)
Undertaking this assessment helped raise my awareness and my understanding of the FAIR data Principles.
FAIR-Aware is an online tool developed by the FAIRsFAIR project. It helps to assess your current level of awareness on making your datasets findable, accessible, interoperable and reusable (FAIR) before uploading them in a data repository. By guiding you through the assessment process, the tool will help you to better understand the FAIR Principles and how making data FAIR can increase the potential value and impact of your data.
FAIR-Aware is not meant to give you a score for the FAIRness of a specific dataset. You should, however, have a target dataset in mind to be able to answer the questions and complete the assessment.
The tool consists of 19 questions with related guidance and examples (click on the ‘i’ icon to see the guidance). The majority of the questions will help you assess your current levels of awareness about what actions are needed to make data FAIR. There are also a few questions about the users of the tool to improve FAIR-Aware and make it as user-friendly as possible. You will need approximately 30 minutes to complete the assessment.
The FAIRsFAIR Team (DANS, DCC, UniHB)