Big data and Open Data are two very current concepts. Both types of data can transform the economy, society, and governments, but when the government turns Big Data into Open Data, it is especially powerful.
Big Data and the new phenomenon of open data are closely related but not the same. While Big Data is defined by size, Open Data is defined by its use. Open Data brings a new perspective to Big Data, making it more useful, more democratic, and less threatening.
Big data is the term used to describe large and complex data sets. But these judgments are subjective and depend on technology: some data sets today may not seem so great in a few years, when data analysis and technology improve.
Instead, Open Data refers to accessible public data, which individuals, businesses, and organizations can use to launch new businesses or projects, analyze patterns and trends, make data-driven decisions, and solve complex problems. All definitions of open data have two basic characteristics: the data must be available to the public and must be presented and licensed in a way that allows its reuse. In addition, open data should also be relatively easy to use, although there are gradations of "openness". On the other hand, there is a general agreement that open data should be available free of charge at a minimum cost.
If you want to learn more about these two concepts, we recommend that you read the following article: Big Data and Open Data: what's what and why does it matter?
