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SHARESHARESHARE
HOW CONNECTING DATA WILL LEAD TO FASTER MEDICAL BREAKTHROUGHS
Medical progress in the past decade has been great, but we’ve reached a bottleneck of which many of us are unaware. Spreadsheets and relational databases that have been a mainstay over the past 30 years have reached their limits. And because they cannot cope with the vast amounts of data and the complexity of the multiple sources of data we want to explore, we’re going to land in increasing difficulty. Medical data is highly heterogeneous and complex by its very nature, ranging from cell-level to massive population study – and often in the same study group. Researchers almost always want to link at either end of the scale, the meeting point between different data sets, which is where the compelling results tend to sit This presents a formidable challenge. At the same time, researchers working toward promising new medical treatments are also looking at huge amounts of data, often running into thousands of gigabytes. Working out how multiple researchers can access and collaborate on the data is also a challenge. With data that often comes in an unstructured format and needs to be turned into a valuable research ingredient as quickly as possible – not just simply initially analysed and stored – we clearly need a dynamic, scalable way to leverage and connect big data. READ MORE