Data Quality and Standardsdoi:10.1002/9781119055143.ch8DaaS programdata profilingdata qualitydata standardsorganizationJerry J. JohnstonJohn Wiley & Sons, Ltd
Step 2. Set your data quality standards This step kicks off the real implementation of a data quality management plan. While the general metrics on data quality apply to organizations in different industries, you should have your own, specific criteria for data quality. For example, in defining ...
or specific standards. They can be executed against data about which little is known or about which there is significant knowledge. The general purpose ofdata quality assessmentremains the same: to understand the condition of data and to draw a conclusion about its impact in relation to expectatio...
The software system quality standards are adopted from that of the relevant national standards and from the software engineering regulations exclusively for geological survey industry. The organizations and experts who have participated and are hence responsible for the database constructions are shown in ...
and methodologies for IoT data, and related international standards, comparing them in terms of data types, data quality definitions, dimensions and metrics, and the choice of assessment dimensions. The survey is intended to help narrow down the possible choices of IoT data quality management ...
Authentication of Human Cell Lines: Standardization of STR profiling (American National Standards Institute) Yu M. et al. A resource for cell line authentication, annotation, and quality control. Nature, 520, 307–311, doi:10.1038/nature14397 (April 2015). Capes-Davis, A. et al. Match criteri...
(Rowley,2007) and production. The better the data represent the real-world construct to which they refer, the more activities and agents they capture, the better the quality of BD is. The quality and value of data also depend on how useful they are for a specific purpose (Redman,2013),...
1. Introduction 2. Methods for Data Acquisition and Processing 3. Description of Data Samples 4. Composition of the Database 5. Data Quality Control and Evaluation 6. Application Potentials of the Database 7. Conclusion References Related articles Cited By Article...
QUALITY ASSURANCE and QUALITY CONTROL DATA STANDARD This assurance relies heavily ondocumentation of processes, procedures, capabilities, and monitoring of such.Standard No.: EXEnvironmental Data Standards Council. (2006). Quality assurance and quality control data standard. Standard No. EX... EX Stand...
4. Data Quality Control and Evaluation The 1∶500 000 Digital Geological Map Spatial Database of the Southern Shanxi – Western Henan Region was compiled based on the 1∶250 000 digital geological map database and referred to the results from geological surveys (e.g., 1∶50 000 geological...