Metadata-Driven Trial Data Management-Application in Clinical Data Lakes

Data Management and Governance in the Data Lake – As data lakes mature and become more strategic to an organization, it is no longer sufficient to dump the data into the data lake and hope for the best. A data lake is flexible, scalable and cost-effective. But it can also possess much of the discipline of a traditional EDW if you add data management and governance capabilities such as data.

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Metadata-Driven-Approach-BLOG2-1024×576 – saama.com – A Metadata-Driven Approach for Trial Data Management & Analysis for Application in Scalable Clinical data lakes leveraging patient-centric data analytics to Accelerate Clinical Trials Talking The Talk: How ai-informed virtual assistants Are Changing Clinical Development

Metadata-Driven Approach for Clinical Data Lakes, New Webinar. – Clinical data lakes can become complex, owing to variable sources of input data. More source systems can lead to redundancies and complicated data transformation or data fetching jobs. Learn how a metadata-driven approach will help data analysts and bioinformaticians focus on data analysis without worrying about data management-related activities.

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PDF SUGI 28: Metadata Application on Clinical Trial Data in Drug. – During the data analysis process in a drug development environment, we are faced with the sometimes-overwhelming task of efficiently and effectively managing different kinds of data. The examples of those data are clinical trial patient data which are collected on Case Report Forms (CRF), definition data for

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Metadata-Driven Approach for Clinical Data Lakes, New Webinar. – For more information or to register for this event, visit Metadata-Driven Approach for Clinical Data Lakes. ABOUT XTALKS Xtalks, powered by Honeycomb Worldwide Inc., is a leading provider of educational webinars to the global life science, food and medical device community.

PDF Metadata-Driven Software for Clinical Trials – cs.ox.ac.uk – TheCancerGridapproachtoclinicaltrialsinformationsys- tems is based on a metamodel developed from the CON- SORT statement of best practice in reporting randomised controlled trials. The metamodel is instantiated with meta- data elements drawn from a repository, to create a model of a particular clinical trial.

PDF Basics of Clinical Data Management – CTSPedia – examination of trial related activities and documents to determine whether the evaluated trial related activities were conducted, and the data were recorded, analyzed and accurately reported according to the protocol, sponsor’s standard operating procedures (SOPs), Good Clinical Practice (GCP), and the applicable regulatory requirement(s).