Data Quality Assurance for Thermophysical Property Databases - Applications to the TRC Source Data Warehouse
Qian Dong, Xinjian Yan, R C. Wilhoit, X Hong, Robert D. Chirico, Vladimir Diky, Michael D. Frenkel
To a significant degree processes of database development are based upon human activities, which are susceptible to various errors. Propagation of errors in the processing leads to a decrease in the value of original data as well as that of the many database products. Data quality is a critical issue that every database producer must handle as an inseparable part of the database management. Within the Thermodynamics Research Center (TRC), a systematic approach to implement database integrity rules was established through the use of moderndatabase technology, statistical methods, and thermodynamic principles. The four major functions of the system - error prevention, database integrity enforcement, scientific data integrity protection, and database traceability are detailed in this paper.
Journal of Chemical Information and Computer Sciences
data quality, error prevention, experimental physicochemical data, scientific data integrity, thermodynamics research center, thermophysical property databases
, Yan, X.
, Wilhoit, R.
, Hong, X.
, Chirico, R.
, Diky, V.
and Frenkel, M.
Data Quality Assurance for Thermophysical Property Databases - Applications to the TRC Source Data Warehouse, Journal of Chemical Information and Computer Sciences
(Accessed December 3, 2023)