Science has grown by leaps and bounds in recent years. But another field has been trying to overshadow it with constant innovations and growth. This field was conceptualized in 1982 (1) but has since then become a complete reality. This new field has had an impact on almost anything mankind is still doing.
Known as the Internet of Things, IoT has completely changed the way most jobs are done nowadays. And science laboratories are no different.
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At the present time of clinical trials, along with complex sampling requirements and increased data output, also demands effective management tools and innovation samples. Luckily, various technological solutions also have been developed to ease multiple laboratory aspects of conducted clinical trials. However, since 80s research production has begun to grow exponentially, marking the research data management beginning challenges. However, the arrival of throughput technologies has shifted the weight from collecting data to sorting, analyzing, managing and storing.
While labs are facing growing amounts of data, solutions are opening up on the global scene to help them cope with it. The change is already here. And it might be better than we expected.
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