Data Integration Technologies

Section 11.2 discusses importance of the data driven approach in the overall supply chain configuration framework. Section 11.3 provides overview of the approach subsequently elaborated in Sects. 11.4 and 11.5. Application of the approach for multi-objective facility location is demonstrated in Sect. 11.6. 

Centralized approaches to data integration such as data warehousing and spreadsheets have long dominated (Dolk 2000). Currently, on-demand and distributed methods are becoming more widely used. The purpose of these methods is to  

Traditional data warehouses operate on a premise that decision-making data needs are known in advance and that these data can be gathered and structured in advance. However, that is not always the case, especially for supply chain reconfiguration during the execution phase. For instance, suppliers in Southeast Asia are characterized by different attributes than substitute suppliers in South America. The on-demand approach provides data as necessary for a particular decision-making situation and is more suitable for agile and reconfigurable supply chains. 

There is a wide range of data integration and analysis methods, which can be tailored for data driven supply chain configuration. This chapter introduces a method focusing on data gathering from web services and ranking based supply chain facilities location. 

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Donnelly B. Data integration technologies an unfulfilled revolution in the drug discovery process Biosilico 2003 1 59-63. 

For data integrity, technologies like SQL may be deployed. Present-day SCADA is designed with open connectivity to external corporate databases, improving compatibility and performance. However, the security issues discussed in Chapter XI need special attention while developing an SCADA system. Live data, databases, and HMI configuration are broadcast in real time through one of two modes ... 

Data integration and more powerful search technologies are the IT backbone for deriving business value from the plethora of data fogging the pharmaceutical industry today. Fortunately, this is not a problem for this industry alone, and the best and brightest of IT minds and companies are focused squarely on this problem. In addition, further advances in how humans process data and information will also come to bear. 

Increased use of information technology, such as remote electronic data entry and electronic diaries, creates the further need for additional data integrity controls and audit trails, plus the support of this whole industry infrastructure. 

Since modern drug discovery is mainly a data-driven process and chemoinformatics is at the center of data integration and utilization, it is natural that majority of library design tools are chemoinformatics tools. Therefore, a deep understanding of chemoinformatics is necessary for taking full advantage of library technologies. 

An integrated technology for drug discovery combines the precision of structure-based design with the parallelism of combinatorial synthesis. Chemi-informatics systems track and integrate all data emerging from the discovery cycle. 

Due to the critical nature of the data stored in the LIMS database, data integrity must be assured. Current technology allows for disk mirroring to ensure that any database additions and changes (and therefore changes to electronic records) are copied to additional, and possibly remote, locations. The function and use of each mirror for backup, for disaster recovery, and for system startup after shutdown must be understood. Each of these scenarios must be tested as part of the validation. 

There are a lot of secnrity tools and technology available and offered as part of browser software, such as Microsoft Internet Explorer and ISPs. There are also tools available that help comply with other reqnirements snch as anthenticity, data integrity, accnracy of data transfer, and nomepudiation. This is also recognized by the FDA ... 

Contemporaneous with technology developments, concern among the pubhc at large has increased about issues such as confidentiality, traceability, and, in particular, the potential for blood contamination. All this has resulted in increasing pressure on blood establishments to ensure the consistency and reliability of their operations and the security and data integrity of their critical records (see Figure 41.1). 

With the applications of the HTP technologies, a great number of variation data will become available for further analyses using data integration and mining methods (see Subheading 4). 

Advances are continually being made in the technology, experimental design, data analysis, and data integration that will advance metabolomics. The science of metabolomics can be applied to many research areas including natural products research where it has already shown potential for enhancing the understanding of MOA, chemotaxonomy, and for the optimization of microbial processes for the production of enhanced levels of antibiotics. 

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