… Working as part of a growing ecosystem of FAIR resources, we also established collaborations
with other initiatives and integrated its content in diverse online guidelines. For example, …

… We recommend avoiding the word “FAIR” and its derivatives in goals entirely as it is too …
data resource for public release on project platforms”. Unlike CARE’s goal, this one does not …

… It is important to realize that current data standards might not be persistent over time. Using
data standards does not mean being blind to emerging data standards that possibly offer …

… as it is a programme that does not have a design that is oriented towards easily fixing errors
and implementing new features. While FAIRDS is an open source programme, it is not likely …

… These projects have resulted in a rich set of tools and resources highly valuable for FAIR
data management. However, these resources remain scattered across projects and ELIXIR …

… In summary, it is essential to note that although synthetic data is closed aligned with FAIR
principles (given its seamless data sharing and reuse without infringing on privacy), the …

… accessibility and interoperability, which is crucial for improving patient outcomes and driving
… utilizes FAIR-compliant reference ontologies (based on the FAIRplus and FAIR CookBook …

… the assessed materials (NMs or AdMa) and thus requires implementation of FAIR criteria.
While FAIR does not directly address data quality, rich metadata accompanying datasets can …