Abstract
Background Due to the ongoing increase and importance of the sustainable reusability of data,
the findable, accessible, interoperable, reusable or FAIR principles were developed
which are also relevant in translational research.
Objectives The study aims at identification of platforms by literature search that are suitable
for implementation in translational research, in particular with regard to their FAIRness.
Methods The collected information is summarized and compared.
Results Platforms have been identified which are suitable for linking with other translational
platforms with regard to documentation, long-term archiving, and processing as well
as for FAIR handling of bioinformatic data.
Conclusion There are already platforms in the translational environment that take FAIR principles
into account and thus improve translational research. Due to the specialization of
the research platforms and the fact that FAIR are only principles and not standards,
the platforms have to be examined in individual cases to see whether and how they
can be integrated with other platforms.
Keywords
FAIR - biomedical research - bioinformatic - medical research - ISA
