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The Clinical Data Interchange Standards Consortium leads the development of global, system independent data standards which are now commonly used as the underlying data structures for clinical trial data. These describe parameters such as the name, length and format of each data field (variable) in the relational database.
CPMP/EWP/1776/99: Missing data in confirmatory clinical trials [21] (EMA) explains how the presence of missing data in confirmatory clinical trials should be addressed and reported in a dossier submitted for regulatory review. It provides an insight into the regulatory standards that will be used to assess confirmatory clinical trials with ...
No matter how much time and effort go into conducting the clinical trial, if the correct data points were not collected, a meaningful analysis may not be possible. It follows, therefore, that the design, development and quality assurance of such an instrument must be given the utmost attention. The ICH guidelines on good clinical practice (GCP ...
SDTM (Study Data Tabulation Model) defines a standard structure for human clinical trial (study) data tabulations and for nonclinical study data tabulations that are to be submitted as part of a product application to a regulatory authority such as the United States Food and Drug Administration (FDA).
Development of eTMF Content Exchange Standards and Protocols In an effort to assure interoperability of eTMF data among clinical trial stakeholders, in September 2013 non-profit CareLex initiated an eTMF standards initiative under the OASIS Open standards development organization for the development of a global eTMF ISO standard supporting ...
ODM is a vendor-neutral, platform-independent format for interchange and archive of clinical study data. The model includes the clinical data along with its associated metadata, administrative data, reference data and audit information. [8] ODM was first introduced in 1999, and the latest version, 1.3.2, was released in 2012. [9]