What does the principle of data integration integrity mean?

Principle of data integration integrity:

1, principle of authenticity.

2. Qualification principle.

3. The principle of accuracy.

4. The principle of good faith.

5. Systematic principle.

6, the principle of unity.

7. The principle of simplicity.

8. The principle of novelty.

Extended data:

According to the purpose of investigation and study, data collation is a process of checking, testing, classifying and summarizing the data obtained from investigation by scientific methods, so as to make it systematic, orderly, centralized and concise to reflect the overall situation of the respondents.

First, as a true record of history, data need to preserve the whole picture and internal organic connection of activity records, especially the relevant record files of original geological data should be complete;

Second, the background information of electronic documents and data cannot be incomplete. Incomplete records are incomplete historical memories, which will bring inconvenience to the use of geological data with strong scientific and practical properties, or it can be said that incomplete geological data have no use value for research reference at all.

Baidu encyclopedia-data collation