With advances in sequencing technologies leading to a so-called “data deluge”, the amount of data supporting a biological study is becoming increasingly unwieldy and difficult to make available. These issues have led to a lack of transparency in analyses of sequencing data, resulting in an ever increasing reproducibility gap. There is a need for tools, pipelines and computing platforms that will enable biologists to better utilize the vast data resources available to them, in a manner that facilitates the interoperability and integration of data. This session will focus on advances in cloud computing, workflow systems and data platforms that will provide biologists with the tools to stay afloat in this data-rich environment. Of growing importance in this era of ever increasing volumes of biological data is the accessibility, utility and reproducibility of computation-reliant results and data. Cloud computing, workflow systems, and better tools and systems for data management and interoperability are all key in making high-throughput biological data more available and usable by the wider biomedical research community. We propose a session exploring many of these topics, and plan to invite speakers working on many of the workflow systems and platforms (both developers and heavy users), experts utilizing these and other systems in the cloud, and data comparison, management, sharing and reuse.