Transactional data integration

Data integrity verihcation — ensure network hardware and software include error checking, handling, and correction measures commensurate with the applications the network supports (e.g., parity checking, checksum and cyclic redimdancy checks and transaction roll-back after network failure should be facilitated critical data files may be stored in duphcated separate locations)... 

Uncertain data By nature, data integration systems need to handle uncertain data. One reason for uncertainty is that data are often extracted from unstructured or semistructured sources by automatic methods (e.g., HTML pages, emails, blogs). A second reason is that data may come from sources that are unreliable or not up to date. For example, in enterprise settings, it is common for informational data such as gender, racial, and income level to be dirty or missing, even when the transactional data are precise. 

ERP systems provide more data integrity, use of accessible databases, and consolidation of many different incompatible systems. The ERP system focuses on capturing all of the transactions in a firm. But, the ERP system does not suggest which decisions to make about the supply chain. 

Manage data Processes for collecting, integrating, and maintaining data for use in product-producing spheres Includes following industry standards for transaction data formats... 

As with MRP and MRPII, there is no universal set of ERP functions. However, the fundamental characteristics of current ERP systems are i) it is packaged software which integrates the majority of a business processes, ii) it uses a data warehouse that allows real time access, and iii) it processes many of the firm s transactions and integrates them with planning. A typical ERP system contains three layers the production layer which consists mainly of manufacturing, the back-office layer which includes such core functions as human resource management and accounting, and the front-office layer which com-... 

S5 Transaction- Incorrect Integration Architecture Address data Experience... 

The purpose of inventory management is to maintain the integrity of data to ensure that it accurately reflects the physical inventory (location of compound, amount available, and condition). Inventory management should be associated with all transactions such as archiving, order fulfillment, and sample removal so that the inventory always reflects samples in real time. Inventory management should also allow system auditing and error correction. 

The physical inventory of the plates on an HTS robotics system must be synchronized with the plate logistics system to ensure that all physical transactions are tracked and any transformation requests can be directed to the instrumentation via the plate logistics software. Any analytical instrumentation should also be integrated here, because analytical data relates to specific samples in specific plates. The HTS plate reader output files are loaded into the assay data system via software that integrates the HTS reader instrumentation with the operational assay data management system. 

By synchronizing and integrating sample inventory and transactions with operational screening informatics software, the inventory system enables the association of screening endpoints with compound structures and compound batch data (for example, commercial source, synthetic reference, etc.). 

There were no automatic computer generated time-stamped audit trails to ensure authen-tieity and integrity of analytical data that was acquired and processed with the CDS. Analyst s transactions were not documented to show whether the analytical data were modified, copied, or deleted. 

---