Open Data
What is open data?
Open data is defined by the Open Knowledge Foundation as “data that may be used, shared, and built upon freely by anyone, anywhere, for any purpose.” Another definition of open data is data that is available online for free and that can be used, repurposed, and disseminated as long as the data source is acknowledged.
Data ethics, or the ethical use of data, is a component of data analytics that includes open data. Access, use, and sharing of data are all completely free. However, for information to be regarded as open. Only when data satisfies all three of these requirements can it be said to be open:
- being a complete dataset that the public can access
- be made available under licenses that permit its repurposing and distribution
- permit universal involvement, so that everyone can use, reuse, and redistribute the data,
Data can only be considered open when it meets all three of these standards.
The open data debate: What data should be publicly available?
The increased use of reliable databases is one of the main advantages of open data. In essence, this indicates that all of that useful data can be used, shared, and integrated with other data. Collaboration among scientists, research advancements, analytic capability, and decision-making could all be significantly impacted by this. But it’s as crucial to consider the people who are represented by the public, accessible data.
Security Issues with Open Data:
Everyone wants to protect the privacy of their own personal information. Given the ease with which third-party data can be accessed, it is crucial to strike a balance between data transparency and individual privacy.
Third party Data: An organization that has no direct connection to the data collects third-party data.
Data that can fairly be expected to identify a person and provide information about them is referred to as personal identifiable information (PII). It’s crucial to safeguard this information. Addresses, credit card numbers, social security numbers, medical histories, and other details are examples of PII.
One of the most crucial importance when using third party data is to protect individual’s personal information. It’s critical to strike a balance between people’ privacy and data transparency.
