The CDISC Standard for the Exchange of Nonclinical Data (SEND) provides the structure and implementation rules for the submission of computer readable datasets. SEND is one of the required standards for data submission to the U.S. Food and Drug Administration (FDA) and specifies a way to collect and present nonclinical data in a consistent format. The overall package consists of several components, but the focus is on individual study endpoint data which are typically mapped to datasets in domains with several variables in each study dataset.
The U.S. Food and Drug Administration (FDA) published notice of a new ANDA submissions guidance on September 24. The final guidance for industry titled, “ANDA Submissions – Content and Format” is intended to assist applicants in preparing abbreviated new drug applications (ANDAs) for submission to FDA. The primary purpose of this guidance is to help industry increase the quality and suitability of electronic common technical document (eCTD) submissions by identifying the information that an applicant should include to ensure that a complete, high-quality application is submitted to FDA.
When submitting nonclinical study reports in regions using Study Tagging Files (STF), the duration of the study is one common piece of metadata that must be provided. The ICH eCTD STF Specification provides three options to choose from – short, medium, and long. But the ICH eCTD STF Specification doesn’t define the time periods covered by these three duration options.
The European Medicines Agency (EMA) updated version 7.1 EU eCTD Validation Criteria will come into force September 1, 2018. The changes in the validation criteria relate mainly to change requests received from regulatory bodies and taking experiences with version 6.1 into account.
Beginning September 4, 2018, a new third Acknowledgement for ESG users will be sent for all submissions sent to the CBER in eCTD format.
The Clinical Data Interchange Standards Consortium (CDISC) Study Data Tabulation Model (SDTM) Trial Summary dataset has become increasingly useful to reviewers. The Trial Summary (TS) dataset allows the sponsor to submit a high-level overview of the trial in a structured format. Each record in the Trial Summary dataset contains the value of a parameter, a characteristic of the trial. For example, a Trial Summary dataset is used to record basic information about the study such as trial phase, protocol title, and trial objectives. The Trial Summary dataset contains information about the planned and actual trial characteristics.