This shows you the differences between two versions of the page.
| Next revision | Previous revision | ||
|
dido:public:ra:xapend:xapend.a_glossary:d:dataquality [2020/11/15 21:23] nick created |
dido:public:ra:xapend:xapend.a_glossary:d:dataquality [2021/10/04 13:40] (current) 50.19.247.197 ↷ Links adapted because of a move operation |
||
|---|---|---|---|
| Line 1: | Line 1: | ||
| - | ===== Data Integrity ===== | + | ===== Data Quality ===== |
| - | [[dido:public:ra:xapend:xapend.a_glossary | Return to Glossary ]] | + | [[dido:public:ra:xapend:xapend.a_glossary:start| Return to Glossary ]] |
| - | [[dido:public:ra:1.4_req:2_nonfunc:25_security:04_data_integrityy | See 4.2.4.2 Data Integrity]] | + | **Data Quality** refers to the state of qualitative or quantitative pieces of information. There are many definitions of data quality, but data is generally considered high quality if it is "fit for [its] intended uses in operations, decision making and planning". Moreover, data is deemed of high quality if it correctly represents the real-world construct to which it refers. |
| - | **Data Integrity** is the overall completeness, accuracy and consistency of data. This can be indicated by the absence of alteration between two instances or between two updates of a data record, meaning data is intact and unchanged. Data integrity is usually imposed during the database design phase through the use of standard procedures and rules. Data integrity can be maintained through the use of various error-checking methods and [[dido:public:ra:xapend:xapend.a_glossary:v:validation|validation]] procedures. | + | Source: [[https://en.wikipedia.org/wiki/Data_quality | Data Quality ]] |
| - | + | ||
| - | + | ||
| - | + | ||
| - | + | ||
| - | Source: [[https://www.techopedia.com/definition/811/data-integrity-databases | Data Integrity ]] | + | |