Data integration standards

Approaches to Data Integration Standards 7.7.1 OMG, I3C (RIP) LSIT, and W3C Bringing Together Ail Three Disciplines Advanced Mining... 

In addition to testing the system components, a test of software functionality would be performed to test the system software operation and electronic records and electronic signatures (ERES) compliance (security, data integrity, data backup, and archive). In order to test the software functionality, a predetermined set of instructions can be entered step by step into the system. The system responses are then compared to the expected outcomes of the instruction and any problems with the execution are determined. Some vendors will provide a standard set of data which can be processed by the system to verify the data-handling capability of the system. 

Calibration procedures and test methods and frequencies need to be defined usually as part of an SOP. If you intend to transfer data from the instrument to a software package, ensure that data integrity is preserved during transfer. Don t assume that the transfer protocols on standard interfaces always work as intended. It is good practice to ensure that the data have not been truncated or distorted during transfer. 

Before reaching the point of complete data integration as given above, there are intermediary levels of data integration that are beneficial to better analysis of data from process analyzers. The best case would be to have all the data in a human readable form that is independent of the application data format. Over the years several attempts have been made to have a universal format for spectroscopic data, including JCAMP-DX and extensible markup language (XML). Because many instrument vendors use proprietary databases, and there is not a universal standard, the problem of multiple data formats persists. This has led to an entire business of data integration by third parties who aid in the transfer of data from one source to another, such as between instruments and the plant s distributed control system (DCS). 

Enterprise/Control Integration standard, ISA SP95.01. The plant management level is the plan repository area (e.g., database server(s)) that unifies production, quality control, inventory, and warehouse data. 

Standards (e.g., IEC 61508), methods of risk and hazard analysis, and certification methods have evolved long before IT. Security has evolved quite recently with networked IT-systems and concerns about privacy, data integrity, authenticity and protection. Both communities have developed their own standards, methods and system views—and neither in standardization nor in application areas they cooperate well. The paper takes a holistic view of critical systems and proposes a unified approach to system dependability, integrating both safety and security, arguing that in case of massively deployed embedded systems security issues have severe safety impact and vice versa. 

Proper basic knowledge in science in association with GLP data-collection standards helps to achieve research integrity and success. It is expected that all workers, organizations, and industries adhere to GLP standards for study documentation, sample handling, data management, and reporting. Only the use of GLP and manpower together can enrich chemical safety for the improvement of human health and safety worldwide. 

Cleaning and Transforming Data. When importing data from diverse data sources (files, databases, spreadsheets, LIMS systems, etc.) into a database or data warehouse, the 4 ta usually needs to be standardized, checked, and sometimes transformed to some common format and content. This allows faster search and retrieval, and serves as a check of data integrity. The rules that define the cleaning/trans-formation process are often termed "business rules," and in the case of chemical data, they may include checking and modification of chemical structures. 

ISO 15926-7 Industrial automation systems and integration - Integration of hfe-cycle data for process plants including oil and gas production facilities -Part 7 Implementation methods for data exchange and integration. Standard under development (2005)... 

GLP regulations concern standard methods, facilities, and controls used in conducting preclinical and nonclinical laboratory studies and are used to assure the quality and integrity of generated data. The standards relate to both the design and the conduct of the research studies and the qualifications of the personnel and facilities involved with all aspects of the experiments. The GLPs necessitate that... 

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