Cohort-associated connected data hubs - adaptation and fine-tuning

Task 45 Userled secure computational environment and collaborative analysis platformWe will put in place a computational environment the cohort cloud to support userled computational analysis processes both with regard to CE and HDL cohort data see Figure 5 This environment will enable secure access with appropriate access control to data held in the cohort data hubs and will complement the existing autonomous compute system provided in task 44 The cohort cloud will be architected specifically for the infectious diseases workloads and provide the ability work within and across ID cohort study data shared in cohort data hubs For combined CE and HDL data the system will provide users with an ondemand HPC entailing computing power and will use a framework controlling infrastructure allows users to manage and deploy a Tenancy a users own private cloud working environment while at the same time prohibiting them from modifying the data or compute framework around it or applying changes impacting security and the integrity of the overall cloud The cohort cloud will save logs of all the actions taken against all files and executions of any software against the data as transactions with logical validation distributed consensus eg if actor should be allowed access to the data and digital signatures The principles and rules behind the process are similar to the verification work that has been published and widely accepted in the Blockchain technologyFor CE data alone computing needs are reduced and access with reduced internet speed will still enable the cohort researchers to run analysis scripts The benefit of the combined environment is that the security and access settings are maintainedThe cohort cloud environment will make available comprehensive computational tools and applications of relevance to human and pathogen data analysis These will be drawn from sources including the ELIXIR Registry of Tools and Data Services httpsbiotools which holds information on over 10000 tools from across the field of Life Sciences curated by domain experts and the Bioinformatics Toolbox assembled and curated under COMPARE