A comprehensive review of open data platforms, prevalent technologies, and functionalities.

Open data can play a crucial role in different sectors of the world, such as government, science, research, technology, culture, and finance. There are several necessary measures that every organization needs to consider before opening data. There are three major steps to opening the data: (1) Preparation stage, and (2) launching the open data initiative (3) In this case, the feedback mechanism study such as expand and sustain stage, our focus is on the second step, which is how to launch the data as an open dataset and what platforms are available in the market. There are several pros and cons associated with each platform that need to be discussed before publishing the data to get the maximum outcomes in a sustainable and transparent way. We will discuss seven major open data platforms, such as (1) CKAN (2) DKAN (3) Socrata (4) OpenDataSoft (5) GitHub (6) Google datasets (7) Kaggle. We will evaluate the technological commons, techniques, features, methods, and visualization offered by each tool. In addition, why are these platforms important to users such as providers, curators, and end-users? And what are the key options available on these platforms to publish open data? At the end of this study, an individual will be able to select one of them for their open data initiative to launch the data as open.