What is open data?
A simple answer is: interoperability. Interoperability refers to the ability to work together (cooperatively) between different systems and organizations. Here, it refers to the ability to work together or to mix different data sets.
We use "open knowledge definition" to define open data:
Open data is a type of data that can be used, reused, and redistributed freely by anyone—in its limitations, at most, it requires a signature and redistribution using a similar protocol.
The complete "open knowledge definition" gives a more informative explanation for this definition. Here are the most critical parts:
Accessibility and accessibility: The work should be fully accessible and the cost should not exceed a reasonable re-cost (a good acquisition plan is to provide data download from the network). The data must also be in a format that is easy to modify.
Reuse and redistribution: Data should be licensed using licenses that allow for reuse and redistribution, including when redistributed with other data sets.
Universal participation: Everyone should be able to use, reuse, redistribute that data. Therefore, there is no agreement to restrict the use of individuals or groups. For example, "non-commercial use" restrictions would limit "commercial" use and therefore would not be allowed. Another example is the restriction that data can only be used in defined areas (such as only in the field of education) is not allowed.
The following image is from the author of the technical writer Joel Gurin, "Open Data Now," which explains the relationship between big data, open government affairs, and open data:
What are the benefits of open data?
The government encourages society to reuse fully open data, and companies can build viable business models based on free, open data. More and more companies are starting to use open data, and companies that use open data will be everywhere in the next five to ten years.
The Singapore Government Open Data Portal specifically provides data re-use applications, such as providing dataset virtualization to developers through the OneMap platform. In addition, Singapore's public institutions Up Singapore also hosted the Open Data Innovation Competition, especially Health Up Challege competition in health care, encourage health open data reuse. The "OpenData500" website project is managed by NYUGovLab. In addition to demonstrating open data-driven businesses, it will also explore the business models and profitability of these companies. The first list of companies has been posted on the website.
What is the purpose of open data in the health sector?
Improve the transparency of the health system
It will help to improve the transparency of the health care system by demonstrating public health data that is broad, appropriate in depth and large in total.
Convenient services for patients
By opening up data on the quality of care of health agencies and health practitioners, the public can be helped to select the appropriate health facility, professional, and relevant treatment information.
Encourage data reuse and innovation
Based on open health data, companies and individuals can build new business models to provide better services to patients and health care providers and professionals.
Archimedes is a very good example. The company created decision support tools using medical data and clinical research data. In turn, it builds APIs that help developers integrate best practices guidelines for diabetes management into their health, health, clinical support, and lifestyle applications.
What is the type of open data in the health sector?
The following is the application of each country, the data is from the French Ministry of Health Open Data Committee report
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