Insights from reading big data

Minimum Data Set (MDS) The concept of minimum data set originated in the medical field in the United States to unify medical bills. Minimum data set refers to the best way to understand a research object by collecting the least data. The core of it is to establish a set of streamlined and practical data indicators for the observed object.

Minimum Data Set (MDS)
The concept of minimum data set originated in the medical field in the United States and is used to unify medical bills.
Minimum data set refers to collecting the minimum data to best grasp the characteristics of a research object or the status of a thing or a job. Its core is to establish a streamlined and practical set of data for the observed object. Data indicators.
The emergence of the minimum data set was first due to the need for information exchange between different organizations, for example, between two hospitals, a hospital and a government medical management department, a hospital and an insurance company There is a need to exchange information between social welfare departments and some social welfare departments. With the promotion of minimum data sets, more and more social organizations, local governments and federal government business departments have established standard "data Interface", and since then "data" are connected to each other.
The rise of information management systems has pushed the application of minimum data sets to a new height.

The so-called "information management system" is software that implements a specific business management function.

The software consists of two main parts, one is the program (also called code), and the other is data (or called database). The relationship between program and data is like an engine and fuel. Programs are all driven by data; data to programs is like blood to the human body. Once the blood stops flowing, the person loses his life and the code will stop running.

The vitality of data is even longer than that of programs. Programs can be continuously upgraded, replaced or even withdrawn from use, but the database that stores the data will continue to exist, and its value is likely to increase day by day and last forever. Tim Berners-Lee, the father of the World Wide Web, once argued in 2006: "Data is precious, and its vitality is longer than the software system that collects it."

For software development, the design of the database is even more important than the design of the program. Eric Raymond, the leader of the open source software movement in the United States, once said when talking about code and data: "A good data structure and a bad code are much better than a bad data structure and good code. ”

And big data will become our next "microscope" for observing human social behavior and the "dashboard" for monitoring nature;

Data Governance
Although technological advancements in the information age have completely changed the decision-making process in the business and sports fields, the federal government’s application of these new technologies is still at a very early stage. A beginning stage. To implement "Data-Driven Decision Making", we not only need to use new technologies, but also change the current decision-making process.

Edward Deming: "We trust God. Except God, anyone must speak with data."

For the federal government, this kind of "superstition" is no longer limited to the level of "using data to speak". In recent years, with the rapid increase of big data, various government departments are trying to "Use data to make decisions", "use data to manage" and "use data to innovate". In this process, a large number of practices and applications have emerged that are both pragmatic and effective and refreshing.