Application of SDTM Trial Design at GSK. 9 th of December 2010

Size: px
Start display at page:

Download "Application of SDTM Trial Design at GSK. 9 th of December 2010"

Transcription

1 Application of SDTM Trial Design at GSK Veronica Martin Veronica Martin 9 th of December 2010

2 Contents SDTM Trial Design Model Ti Trial ldesign datasets t Excel Template for Trial Design 2

3 SDTM Trial Design Model Defines a standard structure for representing the kind of high level trial design usually represented in a study schema inaprotocol Arms planned paths through the trial, closely tied to treatment groups or treatment sequences Epochs, Elements new names for periods or phases Visits Provides a dataset for text of all eligibility criteria I/E dataset only includes exceptions some criteria may not have any exceptions Provides a dataset t and terminology for summary descriptors E.g., Title, Phase, Indication, Planned number of subjects Also defines a way to capture actual subject progress that can be compared against the plan For detailed definitions, refer to the SDTM Implementation Guide located on the CDISC website. 3

4 Five Trial Level Datasets The Trial Elements, Arms and Visits describe the planned design of the study. Domain names for these datasets are TE, TA, and TV. Trial Elements Trial Arms Trial Visits The Trial Inclusion/Exclusion c o Domain (TI) is not subject oriented. It contains one record for each of the inclusion and exclusion criteria for the trial. Trial Inclusion / Exclusion Criteria The Trial Summary Domain (TS) is not subject oriented. It contains one record for each trial summary characteristic and is used to record basic information about the trial, e.g., trial phase, protocol title and design objectives. Trial Summary 4

5 Two Subject Level Datasets While the Trial Elements, Arms and Visits describe planned design of the study, it is also necessary to collect actual treatments undergone at visits for each subject. Subject Elements (SE) Subject Visits (SV) SE and SV are based on subject data which already exists. However, preparing these datasets and will require programming decisions E.g., how do we define the beginning of screening? The end of a subject s treatment epoch? What collected data can be used to derive these date/times? 5

6 Excel template for SDTM Trial Design GSK created an Excel template to facilitate the creation of Trial Design datasets The template provides a consistent means of building the five Trial Design datasets (TE, TA, TV, TI, TS). The template includes validations based on the version of the CDISC SDTM Implementation Guide and approved CDISC terminology packages. Template Assumptions: The person entering data into the Excel template understands the protocol and the data that was collected. Visit number assignments reflect a clear understanding of planned visits (those included in the TV dataset) versus unplanned visits. Entering visit start and end rules describe this distinction, and allow the construction of SV, which lists all of a subject s planned and unplanned visits. 6

7 How to use the template TI (Trial Inclusion/Exclusion) is completed by copying eligibility criteria from the protocol. Template holds complete text and a 200-character abbreviation TS (Trial Summary) worksheet includes CDISC terminology, i.e., paramaters and, where appropriate, valid values The Trial Matrix worksheet auto-populates much of TA and TE Easier to visualize trial design in Trial Matrix format TA (Trial Arms) is completed by adding in branching and transition information Branches include randomization, other treatment assignments Transitions include rules for optionally skipping some elements TE (Trial Elements) is completed by adding start and end rules TV (Trial Visits) is populated with visit names and numbers, start and end rules for planned visits. 7

8 User feedback It is pretty good for user-friendliness - when used in conjunction with the Template User Guide far easier than creating these files on an ad hoc basis. It gets easier after the first study There are 4 sets of fields that are common between the TD domains and the ecrf domains, and the issues around getting g them synched with respect to consistent content: TA/DM.ARM(CD), TI/IE.IETEST(CD), SV/TV.VISIT(NUM) and TA.EPOCH versus all other domains. Timings for creating the TD domain vs ecrf data what comes first? Are the TD domains required when running the ecrf data through OPENCDISC checks? Teams require guidance on what to enter on abstract things like if there is no response for a particular item, it s not always clear whether cells should be left empty or entered as none or n/a. 8

Improving Metadata Compliance and Assessing Quality Metrics with a Standards Library

Improving Metadata Compliance and Assessing Quality Metrics with a Standards Library PharmaSUG 2018 - Paper SS-12 Improving Metadata Compliance and Assessing Quality Metrics with a Standards Library Veena Nataraj, Erica Davis, Shire ABSTRACT Establishing internal Data Standards helps companies

More information

CDISC Journal. Generating a cabig Patient Study Calendar from a Study Design in ODM with Study Design Model Extension. By Jozef Aerts.

CDISC Journal. Generating a cabig Patient Study Calendar from a Study Design in ODM with Study Design Model Extension. By Jozef Aerts. CDISC Journal Clinical Data Interchange Standards Consortium october 2011 Generating a cabig Patient Study Calendar from a Study Design in ODM with Study Design Model Extension By Jozef Aerts Abstract

More information

Study Data Reviewer s Guide Completion Guideline

Study Data Reviewer s Guide Completion Guideline Study Data Reviewer s Guide Completion Guideline 22-Feb-2013 Revision History Date Version Summary 02-Nov-2012 0.1 Draft 20-Nov-2012 0.2 Added Finalization Instructions 10-Jan-2013 0.3 Updated based on

More information

Challenges with the interpreta/on of CDISC - Who can we trust?

Challenges with the interpreta/on of CDISC - Who can we trust? Challenges with the interpreta/on of CDISC - Who can we trust? Linda Palm Simonsson linda.simonsson@i- mind.se CD01 #PhUSE14 - London 2014-10- 13 Abstract Many smaller companies have none or very linle

More information

CDASH Standards and EDC CRF Library. Guang-liang Wang September 18, Q3 DCDISC Meeting

CDASH Standards and EDC CRF Library. Guang-liang Wang September 18, Q3 DCDISC Meeting CDASH Standards and EDC CRF Library Guang-liang Wang September 18, 2014 2014 Q3 DCDISC Meeting 1 Disclaimer The content of this presentation does not represent the views of my employer or any of its affiliates.

More information

Standards Driven Innovation

Standards Driven Innovation Standards Driven Innovation PhUSE Annual Conference 2014 Frederik Malfait IMOS Consulting GmbH, Hoffmann-La Roche AG Managing Standards 2 Data Standards Value Proposition Standards are increasingly mandated

More information

SAS CLINICAL SYLLABUS. DURATION: - 60 Hours

SAS CLINICAL SYLLABUS. DURATION: - 60 Hours SAS CLINICAL SYLLABUS DURATION: - 60 Hours BASE SAS PART - I Introduction To Sas System & Architecture History And Various Modules Features Variables & Sas Syntax Rules Sas Data Sets Data Set Options Operators

More information

Introduction to ADaM and What s new in ADaM

Introduction to ADaM and What s new in ADaM Introduction to ADaM and What s new in ADaM Italian CDISC UN Day - Milan 27 th October 2017 Silvia Faini Principal Statistical Programmer CROS NT - Verona ADaM Purpose Why are standards needed in analysis

More information

What is high quality study metadata?

What is high quality study metadata? What is high quality study metadata? Sergiy Sirichenko PhUSE Annual Conference Barcelona, 2016 What is study metadata? Trial Design domains Reviewer s Guides acrf Define.xml Conclusion Topics What is study

More information

DCDISC Users Group. Nate Freimark Omnicare Clinical Research Presented on

DCDISC Users Group. Nate Freimark Omnicare Clinical Research Presented on DCDISC Users Group Nate Freimark Omnicare Clinical Research Presented on 2011-05-12 1 Disclaimer The opinions provided are solely those of the author and not those of the ADaM team or Omnicare Clinical

More information

Dealing with changing versions of SDTM and Controlled Terminology (CT)

Dealing with changing versions of SDTM and Controlled Terminology (CT) CDISC UK Network Breakout session Notes 07/06/16 Afternoon Session 1: Dealing with changing versions of SDTM and Controlled Terminology (CT) How do people manage this? Is this managed via a sponsor Standards

More information

Sandra Minjoe, Accenture Life Sciences John Brega, PharmaStat. PharmaSUG Single Day Event San Francisco Bay Area

Sandra Minjoe, Accenture Life Sciences John Brega, PharmaStat. PharmaSUG Single Day Event San Francisco Bay Area Sandra Minjoe, Accenture Life Sciences John Brega, PharmaStat PharmaSUG Single Day Event San Francisco Bay Area 2015-02-10 What is the Computational Sciences Symposium? CSS originally formed to help FDA

More information

How to review a CRF - A statistical programmer perspective

How to review a CRF - A statistical programmer perspective Paper DH07 How to review a CRF - A statistical programmer perspective Elsa Lozachmeur, Novartis Pharma AG, Basel, Switzerland ABSTRACT The design of the Case Report Form (CRF) is critical for the capture

More information

Study Data Reviewer s Guide

Study Data Reviewer s Guide Revision History Date Study Data Reviewer s Guide Completion Guideline: Nonclinical (nnsdrg) Version Summary V1.1 03 March 2016 1.0 First Public Version: posted for Public Comment 1.1 Update from Public

More information

From SDTM to displays, through ADaM & Analyses Results Metadata, a flight on board METADATA Airlines

From SDTM to displays, through ADaM & Analyses Results Metadata, a flight on board METADATA Airlines From SDTM to displays, through ADaM & Analyses Results Metadata, a flight on board METADATA Airlines Omar SEFIANI - Stéphane BOUGET, Boehringer Ingelheim DH13, PhUSE Barcelona 2016, October, 12 th Outline

More information

Automated Creation of Submission-Ready Artifacts Silas McKee, Accenture, Pennsylvania, USA Lourdes Devenney, Accenture, Pennsylvania, USA

Automated Creation of Submission-Ready Artifacts Silas McKee, Accenture, Pennsylvania, USA Lourdes Devenney, Accenture, Pennsylvania, USA Paper DH06 Automated Creation of Submission-Ready Artifacts Silas McKee, Accenture, Pennsylvania, USA Lourdes Devenney, Accenture, Pennsylvania, USA ABSTRACT Despite significant progress towards the standardization

More information

2 nd ehs Workshop, CC-IN2P3 14 th October 2015, Lyon,

2 nd ehs Workshop, CC-IN2P3 14 th October 2015, Lyon, 2 nd ehs Workshop, CC-IN2P3 14 th October 2015, Lyon, CDISC transmart master tree via transmart clinical study tree. Work Package Number: WP3&WP4 Dorina BRATFALEAN, CDISC Adriano BARBOSA DA SILVA, LCSB

More information

AUTOMATED CREATION OF SUBMISSION-READY ARTIFACTS SILAS MCKEE

AUTOMATED CREATION OF SUBMISSION-READY ARTIFACTS SILAS MCKEE AUTOMATED CREATION OF SUBMISSION-READY ARTIFACTS SILAS MCKEE AGENDA 1. Motivation 2. Automation Overview 3. Architecture 4. Validating the System 5. Pilot Study Results 6. Future State Copyright 2012-2017

More information

Towards a Fully Machine-Readable Protocol: The New ODM Extension for Trial Design / Protocol. Jozef Aerts XML4Pharma

Towards a Fully Machine-Readable Protocol: The New ODM Extension for Trial Design / Protocol. Jozef Aerts XML4Pharma Towards a Fully Machine-Readable Protocol: The New ODM Extension for Trial Design / Protocol Jozef Aerts XML4Pharma The ODM Extension for Trial Design - Status Developed by Jan Kratky and Peter Villiers

More information

Doctor's Prescription to Re-engineer Process of Pinnacle 21 Community Version Friendly ADaM Development

Doctor's Prescription to Re-engineer Process of Pinnacle 21 Community Version Friendly ADaM Development PharmaSUG 2018 - Paper DS-15 Doctor's Prescription to Re-engineer Process of Pinnacle 21 Community Version Friendly ADaM Development Aakar Shah, Pfizer Inc; Tracy Sherman, Ephicacy Consulting Group, Inc.

More information

ADaM Compliance Starts with ADaM Specifications

ADaM Compliance Starts with ADaM Specifications PharmaSUG 2017 - Paper DS16 ADaM Compliance Starts with ADaM Specifications Trevor Mankus, Kent Letourneau, PRA Health Sciences ABSTRACT As of December 17th, 2016, the FDA and PMDA require that all new

More information

Towards a Fully Machine-Readable Protocol: The New ODM Extension for Trial Design / Protocol. Jozef Aerts XML4Pharma

Towards a Fully Machine-Readable Protocol: The New ODM Extension for Trial Design / Protocol. Jozef Aerts XML4Pharma Towards a Fully Machine-Readable Protocol: The New ODM Extension for Trial Design / Protocol Jozef Aerts XML4Pharma The ODM Extension for Trial Design - Status Developed by Jan Kratky and Peter Villiers

More information

From Implementing CDISC Using SAS. Full book available for purchase here. About This Book... xi About The Authors... xvii Acknowledgments...

From Implementing CDISC Using SAS. Full book available for purchase here. About This Book... xi About The Authors... xvii Acknowledgments... From Implementing CDISC Using SAS. Full book available for purchase here. Contents About This Book... xi About The Authors... xvii Acknowledgments... xix Chapter 1: Implementation Strategies... 1 Why CDISC

More information

Using Rational Publishing Engine to report on work item Approvals

Using Rational Publishing Engine to report on work item Approvals Using Rational Publishing Engine to report on work item Approvals 1 Introduction This paper describes the solution to some of the issues I encountered using Rational Publishing Engine (RPE) to create reports

More information

Hanming Tu, Accenture, Berwyn, USA

Hanming Tu, Accenture, Berwyn, USA Hanming Tu, Accenture, Berwyn, USA Agenda Issue Statement Create Mapping Build Reusable Codes Define Repeatable Workflow Check compliance Conclusion Copyright 2016 Accenture. All rights reserved. 2 Issue

More information

Pharmaceuticals, Health Care, and Life Sciences. An Approach to CDISC SDTM Implementation for Clinical Trials Data

Pharmaceuticals, Health Care, and Life Sciences. An Approach to CDISC SDTM Implementation for Clinical Trials Data An Approach to CDISC SDTM Implementation for Clinical Trials Data William T. Chen, Merck Research Laboratories, Rahway, NJ Margaret M. Coughlin, Merck Research Laboratories, Rahway, NJ ABSTRACT The Clinical

More information

SDTM-ETL 3.0 User Manual and Tutorial

SDTM-ETL 3.0 User Manual and Tutorial SDTM-ETL 3.0 User Manual and Tutorial Author: Jozef Aerts, XML4Pharma Last update: 2014-03-29 Creating mappings for the SV (Subject Visits) domain Although Fred Wood, one of the authors of the SDTM Implementation

More information

Research Participant Registration System (RPRS) Study Creation Guide

Research Participant Registration System (RPRS) Study Creation Guide Research Participant Registration System (RPRS) Study Creation Guide Revised August 2016 By Robin Richardson Contents Introduction to RPRS... 3 Creating a Study... 3 1. Details... 4 1.1. Basic Details...

More information

Step Up Your ADaM Compliance Game Ramesh Ayyappath & Graham Oakley

Step Up Your ADaM Compliance Game Ramesh Ayyappath & Graham Oakley Step Up Your ADaM Compliance Game Ramesh Ayyappath & Graham Oakley Accountability & Delivery Collaboration Partnership Integrity Agenda v Regulatory Requirement v Current Situation v iace-toolbox v 3 Step

More information

CRF Design for Data Standards. David A. Scocca

CRF Design for Data Standards. David A. Scocca CRF Design for Data Standards David A. Scocca dave_scocca@rhoworld.com CRF Design for Data Standards Controlled Terminology Epochs and Dispositions Dates and Times Free Text Fields Avoiding Unwanted Data

More information

Harmonizing CDISC Data Standards across Companies: A Practical Overview with Examples

Harmonizing CDISC Data Standards across Companies: A Practical Overview with Examples PharmaSUG 2017 - Paper DS06 Harmonizing CDISC Data Standards across Companies: A Practical Overview with Examples Keith Shusterman, Chiltern; Prathima Surabhi, AstraZeneca; Binoy Varghese, Medimmune ABSTRACT

More information

Out-of-the-box %definexml

Out-of-the-box %definexml Out-of-the-box %definexml Just a Simple SAS Macro PhUSE / October 2016 / Katja Glaß Agenda Introduction Getting Started %DefineXML Collaborate Summary Page 2 DefineXML Katja Glaß 11. October 2016 Introduction

More information

How to download and access data

How to download and access data How to download and access data As the data belongs to the Ministry of Health, that data can only be shared with outside partners directly through the Ministry. Tropical Data Team Data belonging to the

More information

Advanced Data Visualization using TIBCO Spotfire and SAS using SDTM. Ajay Gupta, PPD

Advanced Data Visualization using TIBCO Spotfire and SAS using SDTM. Ajay Gupta, PPD Advanced Data Visualization using TIBCO Spotfire and SAS using SDTM Ajay Gupta, PPD INTRODUCTION + TIBCO Spotfire is an analytics and business intelligence platform, which enables data visualization in

More information

CDASH MODEL 1.0 AND CDASHIG 2.0. Kathleen Mellars Special Thanks to the CDASH Model and CDASHIG Teams

CDASH MODEL 1.0 AND CDASHIG 2.0. Kathleen Mellars Special Thanks to the CDASH Model and CDASHIG Teams CDASH MODEL 1.0 AND CDASHIG 2.0 Kathleen Mellars Special Thanks to the CDASH Model and CDASHIG Teams 1 What is CDASH? Clinical Data Acquisition Standards Harmonization (CDASH) Standards for the collection

More information

SDTM Implementation Guide Clear as Mud: Strategies for Developing Consistent Company Standards

SDTM Implementation Guide Clear as Mud: Strategies for Developing Consistent Company Standards Paper CD02 SDTM Implementation Guide Clear as Mud: Strategies for Developing Consistent Company Standards Brian Mabe, UCB Biosciences, Raleigh, USA ABSTRACT Many pharmaceutical companies are now entrenched

More information

ABSTRACT INTRODUCTION WHERE TO START? 1. DATA CHECK FOR CONSISTENCIES

ABSTRACT INTRODUCTION WHERE TO START? 1. DATA CHECK FOR CONSISTENCIES Developing Integrated Summary of Safety Database using CDISC Standards Rajkumar Sharma, Genentech Inc., A member of the Roche Group, South San Francisco, CA ABSTRACT Most individual trials are not powered

More information

How to write ADaM specifications like a ninja.

How to write ADaM specifications like a ninja. Poster PP06 How to write ADaM specifications like a ninja. Caroline Francis, Independent SAS & Standards Consultant, Torrevieja, Spain ABSTRACT To produce analysis datasets from CDISC Study Data Tabulation

More information

Eligibility Checklists

Eligibility Checklists Eligibility Checklists CRMS Support Pool Help Topic Eligibility Overview In order to enroll participants on your study, they must meet all of the eligibility requirements defined in the protocol (with

More information

Leveraging Study Data Reviewer s Guide (SDRG) in Building FDA s Confidence in Sponsor s Submitted Datasets

Leveraging Study Data Reviewer s Guide (SDRG) in Building FDA s Confidence in Sponsor s Submitted Datasets PharmaSUG 2017 - Paper SS09 Leveraging Study Data Reviewer s Guide (SDRG) in Building FDA s Confidence in Sponsor s Submitted Datasets Xiangchen (Bob) Cui, Min Chen, and Letan (Cleo) Lin, Alkermes Inc.,

More information

Data Science Services Dirk Engfer Page 1 of 5

Data Science Services Dirk Engfer Page 1 of 5 Page 1 of 5 Services SAS programming Conform to CDISC SDTM and ADaM within clinical trials. Create textual outputs (tables, listings) and graphical output. Establish SAS macros for repetitive tasks and

More information

Riepilogo e Spazio Q&A

Riepilogo e Spazio Q&A Riepilogo e Spazio Q&A CDISC Italian User Network Day 27 Ottobre 2017 Angelo Tinazzi (Cytel) - Silvia Faini (CROS NT) E3C members 2 Agenda ADaM key list Bad & Good ADaM...More... Spazio Q&A ADaM Key List

More information

TS04. Running OpenCDISC from SAS. Mark Crangle

TS04. Running OpenCDISC from SAS. Mark Crangle TS04 Running OpenCDISC from SAS Mark Crangle Introduction The OpenCDISC validator is a tool used to check the compliance of datasets with CDISC standards Open-source Freely available and created by team

More information

ISO TC46/SC11 Archives/records management

ISO TC46/SC11 Archives/records management ISO TC46/SC11 Archives/records management GUIDANCE FOR IMPLEMENTING DOCUMENTED INFORMATION CLAUSE USING PROCESSES AND CONTROLS OF ISO 30301:2011 Management system for records EXPLANATORY PAPER NOVEMBER

More information

Submission-Ready Define.xml Files Using SAS Clinical Data Integration Melissa R. Martinez, SAS Institute, Cary, NC USA

Submission-Ready Define.xml Files Using SAS Clinical Data Integration Melissa R. Martinez, SAS Institute, Cary, NC USA PharmaSUG 2016 - Paper SS12 Submission-Ready Define.xml Files Using SAS Clinical Data Integration Melissa R. Martinez, SAS Institute, Cary, NC USA ABSTRACT SAS Clinical Data Integration simplifies the

More information

ODM The Operational Efficiency Model: Using ODM to Deliver Proven Cost and Time Savings in Study Set-up

ODM The Operational Efficiency Model: Using ODM to Deliver Proven Cost and Time Savings in Study Set-up ODM The Operational Efficiency Model: Using ODM to Deliver Proven Cost and Time Savings in Study Set-up Mark Wheeldon, CEO, Formedix Bay Area User Group Meeting, 15 th July 2010 Who are we? Proven Business

More information

SDTM-ETL 3.2 User Manual and Tutorial

SDTM-ETL 3.2 User Manual and Tutorial SDTM-ETL 3.2 User Manual and Tutorial Author: Jozef Aerts, XML4Pharma Last update: 2017-07-29 Adding mappings for the Vital Signs domain After loading and validating the ODM file with metadata, your load

More information

The New SDTMIG What s Different from Previous Versions

The New SDTMIG What s Different from Previous Versions 1 The New SDTMIG 3.1.4 What s Different from Previous Versions Presented by Dan Godoy (SDS Team Co-Lead) 2 Agenda Background Progress-to-Date SDTM 3.1.4 - What s Different? Key Features & Examples Q&A

More information

Streamline SDTM Development and QC

Streamline SDTM Development and QC Paper SI09 Streamline SDTM Development and QC Stephen Gormley, Amgen, United Kingdom ABSTRACT Amgen s Global Statistical Programming ( GSP ) function have one centralised team (The CDISC Consultancy and

More information

SAS Online Training: Course contents: Agenda:

SAS Online Training: Course contents: Agenda: SAS Online Training: Course contents: Agenda: (1) Base SAS (6) Clinical SAS Online Training with Real time Projects (2) Advance SAS (7) Financial SAS Training Real time Projects (3) SQL (8) CV preparation

More information

Standardizing FDA Data to Improve Success in Pediatric Drug Development

Standardizing FDA Data to Improve Success in Pediatric Drug Development Paper RA01 Standardizing FDA Data to Improve Success in Pediatric Drug Development Case Study: Harmonizing Hypertensive Pediatric Data across Sponsors using SAS and the CDISC Model Julie Maddox, SAS Institute,

More information

Planning to Pool SDTM by Creating and Maintaining a Sponsor-Specific Controlled Terminology Database

Planning to Pool SDTM by Creating and Maintaining a Sponsor-Specific Controlled Terminology Database PharmaSUG 2017 - Paper DS13 Planning to Pool SDTM by Creating and Maintaining a Sponsor-Specific Controlled Terminology Database ABSTRACT Cori Kramer, Ragini Hari, Keith Shusterman, Chiltern When SDTM

More information

Data Consistency and Quality Issues in SEND Datasets

Data Consistency and Quality Issues in SEND Datasets Data Consistency and Quality Issues in SEND Datasets PointCross has reviewed numerous SEND datasets prepared for test submissions to the FDA and has worked with the FDA on their KickStart program to ensure

More information

IS03: An Introduction to SDTM Part II. Jennie Mc Guirk

IS03: An Introduction to SDTM Part II. Jennie Mc Guirk IS03: An Introduction to SDTM Part II Jennie Mc Guirk SDTM Framework 1. Where should the data go? 3. What is the minimum information needed? 2. What type of information should it contain? SDTM Framework:

More information

SDTM Validation Rules in XQuery

SDTM Validation Rules in XQuery SDTM Validation Rules in XQuery FH-Prof. Dr. Jozef Aerts Univ. Appl. Sciences FH Joanneum Graz, Austria Can you understand the following validation rule (part 1)? SDTM Validation Rules in XQuery Jozef

More information

OpenCDISC Validator 1.4 What s New?

OpenCDISC Validator 1.4 What s New? OpenCDISC Validator 1.4 What s New? Bay Area CDISC Implementation Network 23 May 2013 David Borbas Sr Director, Data Management Jazz Pharmaceuticals, Inc. Disclaimers The opinions expressed in this presentation

More information

Data Compliance Guidelines Version 1.2

Data Compliance Guidelines Version 1.2 Version 1.2 January 2007 (This page is intentionally blank) Published By: STAR Organization 2007 i Table of Contents 1. Introduction... 1 2. General Data Compliance Criteria... 2 2.1 Implementation Versions...

More information

Managing CDISC version changes: how & when to implement? Presented by Lauren Shinaberry, Project Manager Business & Decision Life Sciences

Managing CDISC version changes: how & when to implement? Presented by Lauren Shinaberry, Project Manager Business & Decision Life Sciences 1 Managing CDISC version changes: how & when to implement? Presented by Lauren Shinaberry, Project Manager Business & Decision Life Sciences 2 Content Standards Technical Standards SDTM v1.1 SDTM IG v3.1.1

More information

Access Office Integration for Excel

Access Office Integration for Excel Access Office Integration for Excel Introduction The following document has been designed to guide you through the process of downloading Dimensions data in to Excel via the Access Office Integration tool.

More information

Now let s take a look

Now let s take a look 1 2 3 4 Manage assets across the end to end life cycle of your studies This includes forms, datasets, terminologies, files, links and more, for example: - Studies may contain the protocol, a set of Forms,

More information

Sourcing - How to Create a Negotiation

Sourcing - How to Create a Negotiation Martin Baker Secure Source-To-Pay Sourcing - How to Create a Negotiation December 07 Contents To Create a Project... To Create a Negotiation... 5 Attachments... 7 Private File Archive... 7 Creating Lines,

More information

Xiangchen (Bob) Cui, Tathabbai Pakalapati, Qunming Dong Vertex Pharmaceuticals, Cambridge, MA

Xiangchen (Bob) Cui, Tathabbai Pakalapati, Qunming Dong Vertex Pharmaceuticals, Cambridge, MA Building Traceability for End Points in Analysis Datasets Using SRCDOM, SRCVAR, and SRCSEQ Triplet Xiangchen (Bob) Cui, Tathabbai Pakalapati, Qunming Dong Vertex Pharmaceuticals, Cambridge, MA 2010 Vertex

More information

Beyond OpenCDISC: Using Define.xml Metadata to Ensure End-to-End Submission Integrity. John Brega Linda Collins PharmaStat LLC

Beyond OpenCDISC: Using Define.xml Metadata to Ensure End-to-End Submission Integrity. John Brega Linda Collins PharmaStat LLC Beyond OpenCDISC: Using Define.xml Metadata to Ensure End-to-End Submission Integrity John Brega Linda Collins PharmaStat LLC Topics Part 1: A Standard with Many Uses Status of the Define.xml Standard

More information

Mapping and Terminology. English Speaking CDISC User Group Meeting on 13-Mar-08

Mapping and Terminology. English Speaking CDISC User Group Meeting on 13-Mar-08 Mapping and Terminology English Speaking CDISC User Group Meeting on 13-Mar-08 Statement of the Problem GSK has a large drug portfolio, therefore there are many drug project teams GSK has standards 8,200

More information

PhUSE Protocol Representation: The Forgotten CDISC Model

PhUSE Protocol Representation: The Forgotten CDISC Model Paper CD01 Protocol Representation: The Forgotten CDISC Model Jeffrey Abolafia, Rho Inc., Chapel Hill, NC USA Frank Dilorio, CodeCrafters, Inc., Philadelphia PA USA ABSTRACT Recent FDA guidances have established

More information

Implementing CDISC Using SAS. Full book available for purchase here.

Implementing CDISC Using SAS. Full book available for purchase here. Implementing CDISC Using SAS. Full book available for purchase here. Contents About the Book... ix About the Authors... xv Chapter 1: Implementation Strategies... 1 The Case for Standards... 1 Which Models

More information

A SDTM Legacy Data Conversion

A SDTM Legacy Data Conversion Paper DS01 A SDTM Legacy Data Conversion Markus Stoll, German CDISC UN Lead Member, Muehltal, Germany Laura Phelan, Cytel Inc., Paris, France Angelo Tinazzi, Cytel Inc., Geneva, Switzerland ABSTRACT We

More information

Course 55197A: Microsoft SharePoint Server 2016 for the Site Owner/Power User

Course 55197A: Microsoft SharePoint Server 2016 for the Site Owner/Power User Skip to main content Course 55197A: Microsoft SharePoint Server 2016 for the Site Owner/Power User - Course details Course Outline Module 1: The Role of the Site Owner This module provides an introduction

More information

Organizing Deliverables for Clinical Trials The Concept of Analyses and its Implementation in EXACT

Organizing Deliverables for Clinical Trials The Concept of Analyses and its Implementation in EXACT Paper AD05 Organizing Deliverables for Clinical Trials The Concept of Analyses and its Implementation in EXACT Hansjörg Frenzel, PRA International, Mannheim, Germany ABSTRACT Clinical trials can have deliverables

More information

Communication plan template user guide

Communication plan template user guide Communication plan template user guide This user guide is designed to help you fill out the communication plan template docdm-22868. The diagram below provides an overview of the template. Each box represents

More information

Updates on CDISC Standards Validation

Updates on CDISC Standards Validation Updates on CDISC Standards Validation NJ CDISC User Group September 19, 2013 Topics CDISC standards validation initiative FDA update on SEND checks OpenCDISC v1.4.1 release OpenCDISC plans 2 CDISC validation

More information

Customizing SAS Data Integration Studio to Generate CDISC Compliant SDTM 3.1 Domains

Customizing SAS Data Integration Studio to Generate CDISC Compliant SDTM 3.1 Domains Paper AD17 Customizing SAS Data Integration Studio to Generate CDISC Compliant SDTM 3.1 Domains ABSTRACT Tatyana Kovtun, Bayer HealthCare Pharmaceuticals, Montville, NJ John Markle, Bayer HealthCare Pharmaceuticals,

More information

Using the Data Import Features in the NYS ehepqual Project June 2018

Using the Data Import Features in the NYS ehepqual Project June 2018 Using the Data Import Features in the NYS ehepqual Project June 2018 Overview The data import features in the NYS ehepqual system are designed to provide a flexible approach to populating the NYS ehepqual

More information

Reporting & Visualisation : D un Dun standard maison au format CDISC 02/02/2016 CDISC GUF 1

Reporting & Visualisation : D un Dun standard maison au format CDISC 02/02/2016 CDISC GUF 1 Reporting & Visualisation : D un Dun standard maison au format CDISC Jérémy MAMBRINI Florence WAGER 02/02/2016 CDISC GUF 1 Contents CDISC Implementation ti at SERVIER Reporting & Visualisation using CDISC

More information

Why organizations need MDR system to manage clinical metadata?

Why organizations need MDR system to manage clinical metadata? PharmaSUG 2018 - Paper SS-17 Why organizations need MDR system to manage clinical metadata? Abhinav Jain, Ephicacy Consulting Group Inc. ABSTRACT In the last decade, CDISC standards undoubtedly have transformed

More information

SDTM-ETL TM. New features in version 1.6. Author: Jozef Aerts XML4Pharma July SDTM-ETL TM : New features in v.1.6

SDTM-ETL TM. New features in version 1.6. Author: Jozef Aerts XML4Pharma July SDTM-ETL TM : New features in v.1.6 SDTM-ETL TM New features in version 1.6 Author: Jozef Aerts XML4Pharma July 2011 p.1/14 Table of Contents Implementation of SEND v.3.0 final...3 Automated creation of the RELREC dataset and records...4

More information

SAS (Statistical Analysis Software/System)

SAS (Statistical Analysis Software/System) SAS (Statistical Analysis Software/System) Clinical SAS:- Class Room: Training Fee & Duration : 23K & 3 Months Online: Training Fee & Duration : 25K & 3 Months Learning SAS: Getting Started with SAS Basic

More information

DIA 11234: CDER Data Standards Common Issues Document webinar questions

DIA 11234: CDER Data Standards Common Issues Document webinar questions Q: What is the preferred data definition format for ADaM analysis data, define.xml or define.pdf? 1 ADaM Define File Q: The CRTDDS does not describe how to submit a define.xml for ADaM. Does CDER expect

More information

It s All About Getting the Source and Codelist Implementation Right for ADaM Define.xml v2.0

It s All About Getting the Source and Codelist Implementation Right for ADaM Define.xml v2.0 PharmaSUG 2018 - Paper SS-15 It s All About Getting the Source and Codelist Implementation Right for ADaM Define.xml v2.0 ABSTRACT Supriya Davuluri, PPD, LLC, Morrisville, NC There are some obvious challenges

More information

Ophthalmic Examinations (OE) Domain Overview and Status

Ophthalmic Examinations (OE) Domain Overview and Status Ophthalmic Examinations (OE) Domain Overview and Status Marcelina Hungria, Sub-team Lead on behalf of the SDS Ophthalmology Sub-team, 2014-09-17 Preparing for Public Review OE Domain - Agenda Project Background

More information

Instructions for migrating data to CIFR LEA MOE Calculator version 1.3

Instructions for migrating data to CIFR LEA MOE Calculator version 1.3 Instructions for migrating data to CIFR LEA MOE Calculator version 1.3 Instructions apply to versions 1.0, 1.1, and 1.2 January 10, 2019 Version 1.3 of the Local Educational (LEA) Agency Maintenance of

More information

Instructions for copying data from v1.0 or v1.1 of CIFR s LEA MOE Calculator to v1.2

Instructions for copying data from v1.0 or v1.1 of CIFR s LEA MOE Calculator to v1.2 Instructions for copying data from v1.0 or v1.1 of CIFR s LEA MOE Calculator to v1.2 February 1, 2017 CIFR staff recently discovered several errors in the LEA MOE Calculator beginning in the 2017 2018

More information

Yes! The basic principles of ADaM are also best practice for our industry Yes! ADaM a standard with enforceable rules and recognized structures Yes!

Yes! The basic principles of ADaM are also best practice for our industry Yes! ADaM a standard with enforceable rules and recognized structures Yes! 1 Yes! The basic principles of ADaM are also best practice for our industry Yes! ADaM a standard with enforceable rules and recognized structures Yes! The ADaM documentation provides examples of many of

More information

Generating Define.xml from Pinnacle 21 Community

Generating Define.xml from Pinnacle 21 Community PharmaSUG 2018 - Paper AD-29 ABSTRACT Generating Define.xml from Pinnacle 21 Community Pinky Anandani Dutta, Inclin, Inc Define.xml is an XML document that describes the structure and contents (metadata

More information

Developing an Integrated Platform

Developing an Integrated Platform Developing an Integrated Platform Jean-Marc Ferran Consultant & Owner Mobile +45 60 16 04 56 Email: JMF@qualiance.dk Qualiance ApS Guldbergsgade 25, st th 2200 Copenhagen N www.qualiance.dk Bart Van Win

More information

CRA OC RDC Classic User Guide

CRA OC RDC Classic User Guide CRA OC RDC Classic User Guide Version 1.0 Page 1 of 37 TABLE OF CONTENTS Accessing OC RDC Steps for Access 3 Logging On 3 Change Password 5 Change Study 5 Laptop and System Security 6 Navigating OC RDC

More information

Scorebook Navigator. Stage 1 Independent Review User Manual Version

Scorebook Navigator. Stage 1 Independent Review User Manual Version Scorebook Navigator Stage 1 Independent Review User Manual Version 9.8.2010 TABLE OF CONTENTS Getting Started... 1 Browser Requirements... 1 Logging in... 2 Setting Up Your Account... 2 Find Your Scorebook...

More information

PharmaSUG Paper DS24

PharmaSUG Paper DS24 PharmaSUG 2017 - Paper DS24 ADQRS: Basic Principles for Building Questionnaire, Rating and Scale Datasets Nancy Brucken, inventiv Health, Ann Arbor, MI Karin LaPann, Shire, Lexington, MA ABSTRACT Questionnaires,

More information

CDISC Migra+on. PhUSE 2010 Berlin. 47 of the top 50 biopharmaceu+cal firms use Cytel sofware to design, simulate and analyze their clinical studies.

CDISC Migra+on. PhUSE 2010 Berlin. 47 of the top 50 biopharmaceu+cal firms use Cytel sofware to design, simulate and analyze their clinical studies. CDISC Migra+on PhUSE 2010 Berlin 47 of the top 50 biopharmaceu+cal firms use Cytel sofware to design, simulate and analyze their clinical studies. Source: The Pharm Exec 50 the world s top 50 pharmaceutical

More information

One Project, Two Teams: The Unblind Leading the Blind

One Project, Two Teams: The Unblind Leading the Blind ABSTRACT PharmaSUG 2017 - Paper BB01 One Project, Two Teams: The Unblind Leading the Blind Kristen Reece Harrington, Rho, Inc. In the pharmaceutical world, there are instances where multiple independent

More information

User Manual for Reporting Officers and Reporters for Mapping Member State Standard Terminology to EFSA Standard Terminology

User Manual for Reporting Officers and Reporters for Mapping Member State Standard Terminology to EFSA Standard Terminology Supporting Publications 2012:EN-282 TECHNICAL REPORT User Manual for Reporting Officers and Reporters for Mapping Member State Standard Terminology to EFSA Standard Terminology ABSTRACT European Food Safety

More information

Best Practices for E2E DB build process and Efficiency on CDASH to SDTM data Tao Yang, FMD K&L, Nanjing, China

Best Practices for E2E DB build process and Efficiency on CDASH to SDTM data Tao Yang, FMD K&L, Nanjing, China PharmaSUG China 2018 - Paper 73 Best Practices for E2E DB build process and Efficiency on CDASH to SDTM data Tao Yang, FMD K&L, Nanjing, China Introduction of each phase of the trial It is known to all

More information

Spatial Data Standards for Facilities, Infrastructure, and Environment (SDSFIE)

Spatial Data Standards for Facilities, Infrastructure, and Environment (SDSFIE) Spatial Data Standards for Facilities, Infrastructure, and Environment (SDSFIE) Model Builder User Guide Version 1.3 (24 April 2018) Prepared For: US Army Corps of Engineers 2018 Revision History Model

More information

Power Data Explorer (PDE) - Data Exploration in an All-In-One Dynamic Report Using SAS & EXCEL

Power Data Explorer (PDE) - Data Exploration in an All-In-One Dynamic Report Using SAS & EXCEL Power Data Explorer (PDE) - Data Exploration in an All-In-One Dynamic Report Using SAS & EXCEL ABSTRACT Harry Chen, Qian Zhao, Janssen R&D China Lisa Lyons, Janssen R&D US Getting to know your data is

More information

Preparing the Office of Scientific Investigations (OSI) Requests for Submissions to FDA

Preparing the Office of Scientific Investigations (OSI) Requests for Submissions to FDA PharmaSUG 2018 - Paper EP15 Preparing the Office of Scientific Investigations (OSI) Requests for Submissions to FDA Ellen Lin, Wei Cui, Ran Li, and Yaling Teng Amgen Inc, Thousand Oaks, CA ABSTRACT The

More information

Programming checks: Reviewing the overall quality of the deliverables without parallel programming

Programming checks: Reviewing the overall quality of the deliverables without parallel programming PharmaSUG 2016 Paper IB04 Programming checks: Reviewing the overall quality of the deliverables without parallel programming Shailendra Phadke, Baxalta US Inc., Cambridge MA Veronika Csom, Baxalta US Inc.,

More information

ADaM Reviewer s Guide Interpretation and Implementation

ADaM Reviewer s Guide Interpretation and Implementation Paper CD13 ADaM Reviewer s Guide Interpretation and Implementation Steve Griffiths, GlaxoSmithKline, Stockley Park, UK ABSTRACT Throughout the course of a study, teams will make a lot of decisions about

More information

Time Zones, Access Groups, Cards and Users. Technical Support Engineering Rosslare Security NA For more information please see

Time Zones, Access Groups, Cards and Users. Technical Support Engineering Rosslare Security NA For more information please see Time Zones, Access Groups, Cards and Users Technical Support Engineering Rosslare Security NA For more information please see www.axtraxng.com This Guide will discuss how to manage user access. This will

More information

Taming Rave: How to control data collection standards?

Taming Rave: How to control data collection standards? Paper DH08 Taming Rave: How to control data collection standards? Dimitri Kutsenko, Entimo AG, Berlin, Germany Table of Contents Introduction... 1 How to organize metadata... 2 How to structure metadata...

More information

R1 Test Case that tests this Requirement Comments Manage Users User Role Management

R1 Test Case that tests this Requirement Comments Manage Users User Role Management 2/19/2014 CDISC SHARE Requirements Page 1 of 23 Number Name Req ID Requirement Manage Users 2.1.1 User Role Manage Users 2.1.1 User Role Manage Users 2.1.1 User Role Manage Users 2.1.1 User Role Manage

More information