Three types of open data and related privacy issues

Three types of open data and related privacy issues

Question

The three data types analyzed are education, traffic, and weather.

Identify and describe three types of open data

Identify and discuss three privacy issues in open data collection and distribution.

Open data refers to datasets that are publicly available. This data comes from a variety of sources. However, government-provided open data is one of the most important types of open data available to the public, and the purposes for accessing this data also vary depending on the data type and requirements (Vetro et al., 2016). We analyze three types of OPEN data and provide a comprehensive overview of these data types in this context.

Student performance data helps educational institutions analyze student performance and identify issues that impact performance. Therefore, it is easier to identify the needs of students to improve their performance, and it is also easier to provide students with the necessary tools and strategies to improve their performance (Wang & Lo, 2016). Therefore, it is important to ensure that this data is made publicly available so that institutions can improve student outcomes and provide quality education.

In the digital age, it is now easy to find information about public transport, such as when a bus will arrive at a bus stop, where public vehicles are at a particular time, and what the traffic situation is in a particular location. . and other traffic information. This makes travel more informed and less stressful (Zeleti et al., 2016). However, if transportation data is not publicly available, this data cannot be accessed. Therefore, this data is also important for improving the quality of public transport.

All you need is a smartphone and internet access to get weather information. People receive weather information such as the chance of rain, humidity, chance of thunderstorms, and other important weather-related information (Wang & Lo, 2016). This makes it easy for people to plan activities, plan trips to specific destinations, and make necessary arrangements as per their requirements.

One of the biggest problems with open data is the invasion of privacy. When the government releases some information to the public, it does not provide personal information about individuals. However, it also has privacy implications if this data contains enough attributes to allow individual identification (Vetro et al., 2016). Although open data does not easily provide this information, it is possible to connect data from different publicly available datasets to identify personal information. This process is not so easy, but it is possible for data analysis experts. Therefore, even if appropriate strategies are considered, protection of individual identity, and therefore privacy, cannot be ensured.

Accessing a person’s identity through open data violates their privacy. When the government fails to protect citizens’ privacy, it affects the public’s trust in the government (Wang & Lo, 2016). When people agree to provide their personal information to the government, they assume that their data will be protected from illegal access and that their personal information will therefore be protected. However, knowing that your data is public and that your privacy is not guaranteed can also cause you to lose trust in the government and its laws and regulations. While great care has been taken to ensure that the data is accurate, the data is publicly available and changing it will reduce its validity and may also influence the public’s decisions. (Ruijer et al., 2017). Therefore, we cannot guarantee the quality of the data unless we verify its accuracy. The law provides three strategies that the Legislature will require agencies to adopt when participating in open data initiatives. These strategies are as follows (Okamoto, 2017).

To determine whether there are risks to sharing open data, you need to perform a risk-benefit analysis. In this case, appropriate strategies must be developed to ensure that this data is protected and data protection is also guaranteed.

To improve data protection, we recommend that you analyze data protection throughout the lifecycle of your dataset, not just at the time of data release.

We also recommend designing an operational structure and strategy to organize data protection management.

References

Okamoto, K. (2017). Introducing open government data. Reference Librarian, 58(2), 111-123.

Ruijer, E., Grimmelikhuijsen, S., Hogan, M., Enzerink, S., Ojo, A. & Meijer, A. (2017). Connecting social issues, users, and data. Scenario-based design of open data platforms. Government Information Quarterly, 34(3), 470-480.

Vetro, A., Canova, L., Torchiano, M., Minotas, C. O., Iemma, R., Morando, F. (2016). Open data quality measurement framework: Definition and application to open government data. Government Information Quarterly, 33(2), 325-337.

Wang, H.J. & Lo, J. (2016). Bringing open government data to government agencies. Government Information Quarterly, 33(1), 80-88.

Zereti, F.A., Ojo, A., Currie, E. (2016). Exploring the economic value of open government data. Government Information Quarterly, 33(3), 535-551.