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The data dilemma


Beth Harlen reports on the challenges of


laboratory data integration T


he laboratory landscape is changing. Te combination of new technologies and evolving business strategies that – especially within


industries such as pharmaceuticals – shiſt focus towards externalisation, mean that data integration and exchange present more of a challenge than ever before. Te issues being addressed here are not small. Multiple


10 SCIENTIFIC COMPUTING WORLD


systems exist with their own proprietary and oſten inconsistent data formats, making the aggregation of that data in order to discern meaningful results difficult. Tis complexity is compounded even further when a lab manager or director has to manage multiple teams or groups of work, especially when those teams are located at separate sites, Colin Turston, director of product strategy for process industries at Termo Fisher Scientific, explained. Integration and data management solutions solve these information challenges and deliver automated data acquisition, Turston added, and distribute data across the enterprise, regardless of the individual report format


delivered by each instrument. ‘Termo Fisher Scientific’s Integration


Manager acts as a translator of all the individual languages for those different data consumers, being able to provide and accept data in the format applicable for each instrument and soſtware application, and subsequently deliver it to each user. Tis allows all levels of management to access lab- sourced data from within familiar systems,’ Turston said. As an example, he highlighted how process operations staff will see relevant lab batch data alongside online sensor readings within their familiar manufacturing execution system (MES) control panel. Back-office personnel in logistics and


@scwmagazine l www.scientific-computing.com


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