FAIR-Aware

About you

Which domain do you work in?

Which of the following describes your role? Please select all that apply.

Researcher
Policy maker
Research support (e.g. data steward, curator, data manager)

Funder
Publisher
Other

Which of the following types of organisations best describes your employer? Please select all that apply.

Research Infrastructure
University
Research Performing Organisation
Government
eInfrastructure (e.g. repository or scientific data provider)

Funding Body
Publisher
Industry
Other

FAIR questions

FINDABLE

Are you aware that a dataset should be assigned a globally unique and persistent identifier when deposited with a data repository?

Yes
No

Are you aware that when you deposit a dataset with a repository, you will need to provide some details (known as discovery metadata) in order to make the data findable, understandable and reusable to others?

Yes
No

Are you aware that the repository providing access to your dataset should make the metadata describing your datasets available in a format readable by machines as well as humans?

Yes
No

ACCESSIBLE

Are you aware that access to your dataset may need to be regulated and that your metadata description should make clear who can access the data as well as any possible related conditions?

Yes
No

Are you aware that metadata should remain available over time, even if the data is no longer accessible?

Yes
No

INTEROPERABLE

Are you aware that the metadata describing your datasets should use controlled vocabularies (for example, ontologies, thesauri, taxonomies) and expressed in a way to support the Semantic Web?

Yes
No

Are you aware that metadata should include meaningful links between the research data and any related research outputs when available?

Yes
No

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.

Strongly Agree Agree Neutral Disagree Strongly Disagree

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)

Find out more about FAIRsFAIR on the project’s website. If you have any questions, drop us an e-mail.

About you

FAIR questions

FINDABLE

ACCESSIBLE

INTEROPERABLE

REUSABLE

Feedback

ADVICE