1. Explain the difference between data and information. Give examples of raw data and information.
“Data is raw facts, or facts that have not yet been processed to reveal their meaning to the end user” (Coronel & Morris, 2015). It is a building block.
Example: Data inserted into a form and then saved represents raw data in the DBMS. This is illustrated in Figure 1.1 b. below (Coronel & Morris, 2015). However, these raw data are not beneficial to anyone. There is not a complete story. An individual reads the rows of data for faculty members, but it is unclear what it all means.
In contrast, information is the outcome of processing raw data to divulge its meaning. “Information consists of transformed data and facilitates decision making” (Coronel …show more content…
Generally, dirty data encompasses missing data, wrong data, and non-standard representations of the same data (Kim, Choi, Hong, Kim, & Lee, 2003). Data becomes dirty if the user or application receives an incorrect outcome or is unable to obtain a result due to intrinsic issues with the data. Furthermore, dirty data may originate from sources such as data entry error by a human or computer system, data update error by a human or computer system, data transmission error by a computer system, and bugs in a data processing computer system (Kim et al., …show more content…
for the doctor or drive (Kim et al., 2003).
3. What is data quality, and why is it important?
“Data quality is a comprehensive approach to ensuring the accuracy, validity, and timeliness of data” (Coronel & Morris, 2015). According to the World Health Organization (2003), importance of data quality is necessary to receive accurate and reliable health care data and information in order to provide the following:
- Ascertaining the current and future care of a patient at every level of health care
- Medical and legal purposes for the patient, the doctor, and the health care service
- Maintaining precise and consistent information about diseases treated and surgical procedures performed in a hospital and within a community, in addition to offering and upholding immunization and screening programs, including the number and type of participants
- Clinical and health service research and results of health care intervention, if required;
- Accurate, dependable and comprehensive statistical information about the uses for health care services within a community
- Teaching health care professionals;
“Data is raw facts, or facts that have not yet been processed to reveal their meaning to the end user” (Coronel & Morris, 2015). It is a building block.
Example: Data inserted into a form and then saved represents raw data in the DBMS. This is illustrated in Figure 1.1 b. below (Coronel & Morris, 2015). However, these raw data are not beneficial to anyone. There is not a complete story. An individual reads the rows of data for faculty members, but it is unclear what it all means.
In contrast, information is the outcome of processing raw data to divulge its meaning. “Information consists of transformed data and facilitates decision making” (Coronel …show more content…
Generally, dirty data encompasses missing data, wrong data, and non-standard representations of the same data (Kim, Choi, Hong, Kim, & Lee, 2003). Data becomes dirty if the user or application receives an incorrect outcome or is unable to obtain a result due to intrinsic issues with the data. Furthermore, dirty data may originate from sources such as data entry error by a human or computer system, data update error by a human or computer system, data transmission error by a computer system, and bugs in a data processing computer system (Kim et al., …show more content…
for the doctor or drive (Kim et al., 2003).
3. What is data quality, and why is it important?
“Data quality is a comprehensive approach to ensuring the accuracy, validity, and timeliness of data” (Coronel & Morris, 2015). According to the World Health Organization (2003), importance of data quality is necessary to receive accurate and reliable health care data and information in order to provide the following:
- Ascertaining the current and future care of a patient at every level of health care
- Medical and legal purposes for the patient, the doctor, and the health care service
- Maintaining precise and consistent information about diseases treated and surgical procedures performed in a hospital and within a community, in addition to offering and upholding immunization and screening programs, including the number and type of participants
- Clinical and health service research and results of health care intervention, if required;
- Accurate, dependable and comprehensive statistical information about the uses for health care services within a community
- Teaching health care professionals;