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Novel technologies in genomics allow creating data in exascale dimension withrelatively minor effort of human and laboratory and thus monetary resourcescompared to capabilities only a decade ago. While the availability of this datasalvage to find answers for research questions, which would not have beenfeasible before, maybe even not feasible to ask before, the amount of datacreates new challenges, which obviously need new software and data managementsystems. Such new solutions have to consider integrative approaches, which arenot only considering the effectiveness and efficiency of data processing butimprove reusability, reproducibility and usability especially tailored to thetarget user communities of genomic big data. In our opinion, current solutionstackle part of the challenges and have each their strengths but lack to providea complete solution. We present in this paper the key challenges and thecharacteristics cutting-edge developments should possess for fulfilling theneeds of the user communities to allow for seamless sharing and data analysison a large scale.

Genomics and Biological Big Data: Facing Current and Future Challenges around Data and Software Sharing and Reproducibility