## 1 Introduction  
Academics and practitioners alike are interested in open data, which is a significant topic. Open data are free, easy to find, and can be used without restrictions. There are two primary reasons for generating data. In the first instance, there is an economic reason; the amount of open data stored by public or by private organizations has economic gains for application developers, citizens, and other organizations in the private sector, among other benefits. Institutions in the public sector and firms supply up-to-date data to nascent entrepreneurs to develop new services and applications, as well as enhancing the efficiency and effectiveness of the ones that are already available. In the second type of motivation, governments give data to improve government transparency and accountability, as well as responsiveness and participation. This type of motivation is called \"social motivation\" [1, 2, 3, 4]. As a result, more people can access the information, and it can also be used in innovative applications. The benefits for citizens were determined by [PERSON] and [PERSON] (2015) [5]. Transparency, accountability, and civil involvement are all enhanced due to these advantages. According to the authors, open data promotes accountability, increases trust, and increases citizens' satisfaction since it allows them to consider alternatives and make better decisions [6, 7]. Besides the benefits that open data give to government, available data enhance the value of all actors that are part of a distributed open data system. Several actors include public administration, data analysts, commercial open-data publishers, communities that harvest and alter open data, customers, organizations, and user experience providers [8, 9, 10, 11]. Existing studies have highlighted the advantages that entrepreneurs can gain from utilizing open data. Startups take advantage of open data to develop new business models, enhance profitability, and improve their overall competitive advantage. Open data also help in the development of new services and products, which helps boost both the level of innovation and the profitability of businesses. Entrepreneurs that are just starting might utilize data visualization tools to make more effective decisions on the creation of new applications for citizens [12; 13; 14; 15; 16]. Many actions need to be taken to make it easier for governments and businesses to open data. There is not enough information about the benefits of opening up data, there are not enough viable business models, and there are not enough new operating models. They are divided into 10 categories, which are as follows: accessibility and findability of data; understandability of data; quality; compatibility; linking and merging data; metadata; contact with data providers; and, last but not least, openness and the uploading of data [1; 17]. Obstacles, such as legislation, technology, use, information quality, and participation, are incorporated in these categories [12; 18; 19]. These obstacles describe why firms refuse to share data with developers. However, even though applications developers could gain many benefits from the entrepreneurial opportunities presented by open data, the lack of a value ecosystem and business models has been identified as a crucial barrier to the widespread adoption of available data in services and applications [8; 9]. It is hard for developers to use data to create applications, and they do not have the technical skills to utilize data sources that use complicated data formats or interfaces. This causes these problems and challenges [20].