  Novel technologies in genomics allow creating data in exascale dimension with
relatively minor effort of human and laboratory and thus monetary resources
compared to capabilities only a decade ago. While the availability of this data
salvage to find answers for research questions, which would not have been
feasible before, maybe even not feasible to ask before, the amount of data
creates new challenges, which obviously need new software and data management
systems. Such new solutions have to consider integrative approaches, which are
not only considering the effectiveness and efficiency of data processing but
improve reusability, reproducibility and usability especially tailored to the
target user communities of genomic big data. In our opinion, current solutions
tackle part of the challenges and have each their strengths but lack to provide
a complete solution. We present in this paper the key challenges and the
characteristics cutting-edge developments should possess for fulfilling the
needs of the user communities to allow for seamless sharing and data analysis
on a large scale.
