The Data Challenge in Academic Research

Abhinav Shashank
Mon 24 November 2014

90% of the data in the world has been created in the last two years alone.

It’s not surprising that the concept of big data is increasingly gaining interest in the worlds of research, government and business. The promise of data driven decision making is now being recognized broadly, and there is growing enthusiasm for the notion of Big Data.

Data plays a crucial role in fundamental as well as applied research and the generation of newer streams of digital data has created a paradigm shift for the research community world-wide. From an age where surveys were the biggest sources of data that researchers had access to, we have transformed to a time where the digital web (pdfs, world wide web, and other digital archives) hosts a wide variety of information critical to decision making in businesses and policy.

Access to digitally available data has become a possibility – but still remains painfully tedious. Our research shows that researchers and analysts spend up to 70% of their time just dealing with issues like data collection, cleaning and standardization before they get on to the real analysis.

Access to clean data sources can increase research productivity to a great extent and be the much needed boost for development and innovation. Though the modern world of researchers are enthusiastic about data driven research and their outcomes, there is currently a wide gap between its potential and realization.

Starting this summer, we are going to change that – If your research focuses on solving a problem, and is hindered by access to clean, analyzable data – We are on it !!

Team Datashop
Revolutionizing Research


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