Secure and Scalable Systems for Research Data Management
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Recent years have witnessed extraordinary advancement in the data generation capacity of research tools such as mass spectrometry, genomic sequencing, digital imaging and other high throughput technologies. This has led to an enormous increase in the amount of data that needs to managed, stored, visualised, integrated and shared. Moreover there is a widely recognised need for heterogeneous data integration in both clinical and translational research. Additionally clinical data sets have stringent privacy and security requirements that must be adhered to when deploying data handling systems. Also many researchers who need to access these data sets are none specialists in the IT domain so need systems that are easy to use. Herein, we present an overview of a novel cloud-based research management software system, which has simplicity, scalability, security (including traceability), speed and integration at its core. Indeed, its goal is to democratise research data management - enabling researchers who do not have specialist IT administration, software coding or data management training to handle large sets of integrated cloud-based software tools that automate many complex research data workflows without the need for extensive customisation or manual intervention.