Research Study Data Standards Standards for research study data for submission to regulatory authorities Standard development divided into three parts:

Slides:



Advertisements
Similar presentations
Principal Statistical Programmer Accovion GmbH, Marburg, Germany
Advertisements

SDTM Implementation Guide Version 3.1.2
ADaM Implementation Guide: It’s Almost Here. Are You Ready?
Foundational Objects. Areas of coverage Technical objects Foundational objects Lessons learned from review of Use Case content Simple Study Simple Questionnaire.
Protocol Author Process People Technology
Common Terminology Criteria for Adverse Events (CTCAE) v.4: Updating a Cancer Research Standard Ann Setser 1, Ranjana Srivastava 2, Lawrence Wright 1,
CDISC ADaM 2.1 Implementation: A Challenging Next Step in the Process Presented by Tineke Callant
Quick tour of CDISC’s ADaM standard
SEND Standard for the Exchange of Nonclinical Data
United Nations Statistics Division Principles and concepts of classifications.
ADaM Standards Wouter van Wyk. Why ADaM –SDTM purpose is to provide collected data Not designed for ease of analysis –ADaM purpose is to provide data.
The MetaDater Model and the formation of a GRID for the support of social research John Kallas Greek Social Data Bank National Center for Social Research.
Codebook Centric to Life-Cycle Centric In the beginning….
Life Sciences Accelerated R&D Services The Science of Getting Products to Patients Faster Study Data Standardization Plan Use Case Experience Dave Izard.
© 2008 Octagon Research Solutions, Inc. All Rights Reserved. 1 PhUSE 2010 Berlin * Accessing the metadata from the define.xml using XSLT transformations.
Moving from US FDA focus to Global focus – Importance of Standards Margaret Minkwitz Sept 16, 2010.
Gregory Steffens Novartis Associate Director, Programming NJ CDISC Users’ Group 17 April 2014 Supplemental Qualifiers.
CDISC and how Stata can help us implement it
Beyond regulatory submission - Standards Metadata Management Kevin Lee CDISC NJ Meeting at 06/17/2015 We help our Clients deliver better outcomes, so.
JumpStart the Regulatory Review: Applying the Right Tools at the Right Time to the Right Audience Lilliam Rosario, Ph.D. Director Office of Computational.
© 2011 Octagon Research Solutions, Inc. All Rights Reserved. The contents of this document are confidential and proprietary to Octagon Research Solutions,
Antje Rossmanith, Roche 14th German CDISC User Group, 25-Sep-2012
1CDISC 2002 RCRIM – Standard Domains Agenda NCI Presentation Standard Domains Working Group Goals Introduction to FDA Information Model (FIM) Discussion:
Overview and feed-back from CDISC European Interchange 2008 (From April 21 st to 25 th, COPENHAGEN) Groupe des Utilisateurs Francophones de CDISC Bagneux.
Sdmx web services Strutural data
Representing variables according to the ISO/IEC standard.
Confidential - Property of Navitas Accelerate define.xml using defineReady - Saravanan June 17, 2015.
Second Annual Japan CDISC Group (JCG) Meeting 28 January 2004 Julie Evans Director, Technical Services.
IMDB Registration of Survey Variables Dec 19, 2005.
RCRIM Projects: Protocol Representation and CDISC Message(s) January 2007.
Dave Iberson-Hurst CDISC VP Technical Strategy
Overview of CDISC standards and use cases along the E2E data management process Dr. Philippe Verplancke ESUG Marlow, UK 27 May 2009.
Research based, people driven CDISC ADaM Datasets - from SDTM to submission CDISC Experience Exchange and ADaM Workshop 15 Dec 2008 Zoë Williams, LEO Pharma.
How to improve quality control in a data conversion process? By extended usage of metadata! Dimitri Kutsenko Entimo AG - Berlin/Germany.
1 SDS&ADaM sub-team 28 January 2004 Mineko FUJIMOTO Rieko ICHIHARA Kazue TOMITA Hiroaki MATSUDA.
The data standards soup … Is the most exciting topic you can dream of.
Template provided by: “posters4research.com” Challenges and Solutions for Mapping Pathology Data to SEND Mike Wasko, Rich Buchanan, Fred Mura, and Laura.
FDA Standards Development and Implementation Randy Levin, M.D. Director, Office of Information Management Center for Drug Evaluation and Research Food.
1 CDISC HL7 Project FDA Perspective Armando Oliva, M.D. Office of Critical Path Programs FDA.
April ADaM define.xml - Metadata Design Analysis Results Metadata List of key analyses (as defined in change order) Analysis Results Metadata per.
Data types Microarray, etc. –Exchange format well established –MIAME convention, et al. Clinical chemistry, hematology, measurements –Generally a spreadsheet.
How good is your SEND data? Timothy Kropp FDA/CDER/OCS 1.
How Good is Your SDTM Data? Perspectives from JumpStart Mary Doi, M.D., M.S. Office of Computational Science Office of Translational Sciences Center for.
Metadata requirements for archiving structured data Alice Born Statistics Canada Joint UNECE/Eurostat/OECD Work Session on Statistical Metadata (9-11 April.
Submission Standards: The Big Picture Gary G. Walker Associate Director, Programming Standards, Global Data Solutions, Global Data Management.
CDISC submission standard
Existing Service Specifications
Dave Iberson-Hurst CDISC VP Technical Strategy
Facilitating Data Integration For Regulatory Submissions
Accelerate define.xml using defineReady - Saravanan June 17, 2015.
Psychology 202a Advanced Psychological Statistics
Secondary Uses Primary Use EHR and other Auhortities Clinical Trial
Beyond regulatory submission - Standards Metadata Management Kevin Lee CDISC NJ Meeting at 06/17/2015 We help our Clients deliver better outcomes, so.
HOW TO FULFILL STATUTORY REQUIREMENTS ON PRODUCT RELATED HEALTH INFORMATION Samina Qureshi, M.D. PSI INTERNATIONAL Inc.
Traceability between SDTM and ADaM converted analysis datasets
Quality Control of SDTM Domain Mappings from Electronic Case Report Forms Noga Meiry Lewin, MS Senior SAS Programmer The Emmes Corporation Target: 38th.
SDMX Information Model
BR&R Biomedical Research & Regulation
Monika Kawohl Statistical Programming Accovion GmbH
CDISC UK Network Jun-16 – Welwyn
To change this title, go to Notes Master
Fabienne NOEL CDISC – 2013, December 18th
Fundamentals of Electronic Submissions and eCTD
Visualizing Subject Level Data in Clinical Trial Data
An FDA Statistician’s Perspective on Standardized Data Sets
Safety Analytics Workshop – Computational Science Symposium 2019
Data Submissions Douglas Warfield, Ph.D. Technical Lead, eData Team
A Brief Introduction to Stata(2)
PhilaSUG Spring Meeting June 05, 2019
AIXM 5.1 Metadata Profile.
Presentation transcript:

Research Study Data Standards Standards for research study data for submission to regulatory authorities Standard development divided into three parts: –Study data information model –Controlled terminology –Content

Study Data Information Model Concepts –Observations are information collected in a study –Observations are described by 4 types of variables or parameters –Domains are a collection of observations related to a specific subject matter –Tabulation datasets are flat files with one observation per row and descriptive variables in the columns –Data definition is a description of the descriptive variables for the observations

Describe Observations Subject 101A Unique Subject Identifier variable Topic variable Timing variableQualifier variable nauseahad mildstarting on study day 6

Observations in the Data Tabulation Observation Subject identifier TopicTiming Qualifier Adverse event Unique subject Identification Actual start study day Severity Nausea101A6mild Observation Dizziness20312severe Description

Study Data Standards Controlled Terminology Adverse event Unique subject Identification Actual start study day Severity Nausea101A6mild Dizziness20312severe MedDRA Preferred Term Defined lexicon for specific variables Example - MedDRA for adverse event names Established standards for source of controlled terminology

Study Data Standards Data Content Standards Information that should be collected in a specific clinical or animal study Example –Demographics for clinical trials age race sex

Study Data Information Model Types of observations: –Interventions –Events –Findings Descriptive variables based on CDISC submission data standard version 2.0 Data definition based on CDISC metadata model and FDA guidance to industry

Study Data Information Model Does not include: –Controlled terminology –Content Does not cover other data submissions –Data listings –Analysis datasets –Subject profiles