Research data: basis of future research analytics

Abstract
Living in an era of data explosion, there is an urgent need for making high-quality scholarly research data available for technologies like Artificial Intelligence(AI) to make something
more out of it, other than publications. AI being portrayed as the sentience of machines, with more computational power and advances analytical methods has the potential to deliver
personalised health care to individuals with greater probability. Although various data points such as electronic medical records, insurance company records, financial records,
etc. can be used for such purposes research data remains the key building block based on which the deep learning algorithms can generate meaningful results. Hence, we discuss the
significance, need and various methods for making high-quality scholarly research data available for the future to identify intricate and potentially unknown patterns hidden in
them by harnessing the potential of AI. We also recommend research data deposition to be made a necessary pre-requisite before the publication of the results derived out of them.