PhilaSUG Spring Meeting June 05, 2019

Slides:



Advertisements
Similar presentations
ADaM Implementation Guide: It’s Almost Here. Are You Ready?
Advertisements

Creating Data Entry Screens in Epi Info
Experience and process for collaborating with an outsource company to create the define file. Ganesh Sankaran TAKE Solutions.
Quick tour of CDISC’s ADaM standard
Robust approach to create Define.xml v2.0
“Compliance” for Analysis Data Chris Decker, Vice-President, Life Sciences Practice, d-Wise Technologies Randall Austin, Manager, Data Standards, GlaxoSmithKline.
Study Data Standardization Plan Kick0ff Meeting 23 July 2014.
© 2008 Octagon Research Solutions, Inc. All Rights Reserved. 1 PhUSE 2010 Berlin * Accessing the metadata from the define.xml using XSLT transformations.
Gregory Steffens Novartis Associate Director, Programming NJ CDISC Users’ Group 17 April 2014 Supplemental Qualifiers.
7. German CDISC User Group Meeting Define.xml Generator ODM Validator (define.xml validation) 2010/03/11 Dimitri Kutsenko Marianne Neumann.
Copyright © 2010, SAS Institute Inc. All rights reserved. Define.xml - Tips and Techniques for Creating CRT - DDS Julie Maddox Mark Lambrecht SAS Institute.
Monika Kawohl Statistical Programming Accovion GmbH Tutorial: define.xml.
Dominic, age 8, living with epilepsy SDTM Implementation Guide : Clear as Mud Strategies for Developing Consistent Company Standards PhUSE 2011 – CD02.
© 2011 Octagon Research Solutions, Inc. All Rights Reserved. The contents of this document are confidential and proprietary to Octagon Research Solutions,
PhUSE SDE, 28-May A SAS based Solution for define.xml Monika Kawohl Statistical Programming Accovion.
ODM-SDTM mapping Nicolas de Saint Jorre, XClinical June 20, 2008 French CDISC User Group Bagneux/Paris © CDISC & XClinical, 2008.
Antje Rossmanith, Roche 14th German CDISC User Group, 25-Sep-2012
Overview and feed-back from CDISC European Interchange 2008 (From April 21 st to 25 th, COPENHAGEN) Groupe des Utilisateurs Francophones de CDISC Bagneux.
Confidential - Property of Navitas Accelerate define.xml using defineReady - Saravanan June 17, 2015.
SDTM Validation Delaware Valley CDISC user network Ketan Durve Johnson and Johnson Pharmaceutical Reasearch and Development May 11 th 2009.
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.
Research Study Data Standards Standards for research study data for submission to regulatory authorities Standard development divided into three parts:
Lesson 13 Databases Unit 2—Using the Computer. Computer Concepts BASICS - 22 Objectives Define the purpose and function of database software. Identify.
Intermacs Form Download Excel Tutorial Pivot Tables, Graphic Tools, Macros By: Devin Koehl.
Use SPSS for solving the problems Lecture#21. Opening SPSS The default window will have the data editor There are two sheets in the window: 1. Data view2.
April ADaM define.xml - Metadata Design Analysis Results Metadata List of key analyses (as defined in change order) Analysis Results Metadata per.
Why eCTD & CDISC? GSG-US, Inc. Chaeyong Chang March, 2012.
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.
Generation of real-time SDTM datasets and metadata through a generic SDTM converter mechanism CDISC (CDASH/SDTM) integration into OC/RDC Peter Van Reusel.
Mark Wheeldon, Formedix CDISC UK Network June 7, 2016 PRACTICAL IMPLEMENTATION OF DEFINE.XML.
Most Common Issues in Define.xml files
The use of LOINC in CDISC Standards German CDISC Users Meeting Stuttgart Jozef Aerts XML4Pharma.
Monika Kawohl Statistical Programming Accovion GmbH
Practical Implementation of Define.xml
7. German CDISC User Group Meeting Define
Chapter 9 Bank Master Records
Facilitating Data Integration For Regulatory Submissions
Experience and process for collaborating with an outsource company to create the define file. Ganesh Sankaran TAKE Solutions.
Database application MySQL Database and PhpMyAdmin
The use of LOINC in CDISC Standards
Accelerate define.xml using defineReady - Saravanan June 17, 2015.
Definition SpecIfIcatIons
Beyond regulatory submission - Standards Metadata Management Kevin Lee CDISC NJ Meeting at 06/17/2015 We help our Clients deliver better outcomes, so.
Accenture Accelerated R&D Standards Metadata Management – version control and its governance Kevin Lee CDISC NJ Meeting at 01/28/2015 We help our Clients.
Monika Kawohl Statistical Programming Accovion GmbH
NJ CDISC Users Group April 17, 2014
Why use CDISC for trials not submitted to regulators?
Here is your start page. If “Logon” appears, you’ll need to Logon before the system will allow you to look at any data. Do so by clicking on the “Logon”
Traceability between SDTM and ADaM converted analysis datasets
TRAINING OF FOCAL POINTS ON THE CountrySTAT/FENIX SYSTEM
Exploring Microsoft® Access® 2016 Series Editor Mary Anne Poatsy
Topics discussed in this section:
PROC DOC III: Self-generating Codebooks Using SAS®
Monika Kawohl Statistical Programming Accovion GmbH
CDISC UK Network Jun-16 – Welwyn
Definition SpecIfIcatIons
A SAS macro to check SDTM domains against controlled terminology
To change this title, go to Notes Master
define.xml.v2 row-level metadata
Let’s Learn About Spreadsheets
Topics discussed in this section:
Spreadsheets, Modelling & Databases
Monika Kawohl Statistical Programming Accovion GmbH
Generating Define.xml at Kendle using DefinedocTM
The ultimate in data organization
Generating Define.xml at Kendle using DefinedocTM
Metadata use in the Statistical Value Chain
Enforcing Data Integrity with SAS Audit Trails
Presentation transcript:

PhilaSUG Spring Meeting June 05, 2019 Sujaykumar Bothisathuvan

What is SDTM Metadata? SDTM Metadata is a set of inputs from various sources which is used to build SDTM datasets in an effective way. Let’s look into a sample SAS code: data dm;   set sourcedata.demographics;   length usubjid $ 24 race $ 30;          label usubjid = “Unique Subject ID”           race   = “Race”;   usubjid = put(subject,10.);   if nrace = 1 then        race = ‘WHITE’;   else if nrace = 2 then     race = ‘BLACK OR AFRICAN AMERICAN’;   else if nrace = 3 then     race = ‘OTHER’; run; Cytel Inc. Confidential & Proprietary.

Table of Contents Metadata The Table of Contents metadata represents the data required to produce the Table of Contents section of the define.xml file. The Table of Contents in define.xml file is a list of the domain datasets, it lists out the structure of each dataset, class, purpose and it also has the Key variables for each dataset. It also has a link that directs you to the respective dataset within the define file. An example of Table of Contents metadata is shown below; Cytel Inc. Confidential & Proprietary.

Cytel Inc. Confidential & Proprietary.

Variable-level Metadata Varaible-level metadata is used to define the domain or dataset variable content. This metadata contains definitions such as your SAS label, SAS variable type, SAS variable length, any codelist name, and other associated metadata. Each row in this metadata represents a variable in an SDTM domain dataset. An example of Variable-level metadata is shown below; Cytel Inc. Confidential & Proprietary.

Cytel Inc. Confidential & Proprietary.

Codelist Metadata Codelists are the ‘controlled terminology’ applied to the SDTM variables. The SEX variable in the DM domain has the CDISC-defined controlled terminology set called “SEX,” which includes M=Male, F=Female, and other codes. CDISC standard SDTM codelists can be found in the CDISC website at http://www.cdisc.org/standards/foundational/terminology. An example of Codelist metadata is shown below; Cytel Inc. Confidential & Proprietary.

Cytel Inc. Confidential & Proprietary.

Value-level Metadata Value-level metadata contain somewhat more specification on a given record. An example of Value-level metadata is shown below; Cytel Inc. Confidential & Proprietary.

Cytel Inc. Confidential & Proprietary.

If you click on that hyperlink (. /lb If you click on that hyperlink (./lb.xpt), it takes you to the value-level metadata table where you can see the value-level metadata for LBORRES: As seen, most “values” are defined simply by LBTESTCD. But in the case of glucose, we also need to consider the value of LBCAT to distinguish between the blood chemistry and urinalysis results. The urinalysis result is the only character one, and it has a code list associated with it. Cytel Inc. Confidential & Proprietary.

Where Clause Metadata Although ‘where clauses’ exist in define.xml for every value level metadata item, they only need to be specified in the metadata spreadsheet for records that cannot be uniquely identified by only one variable value.  For example, for albumin value-level metadata, the macro creates a WHERECLAUSEOID equal to WC.LB.ORRES.ALB, and this where clause is designed to check for LBTESTCD EQ ALB.   The following screen shot demonstrates how the glucose-related where clauses are captured in spreadsheet. Cytel Inc. Confidential & Proprietary.

Computational Method Metadata As the name suggests, the computations that takes place in SDTM data is stored here. Total scores for a questionnaire, derived laboratory values, and AGE variable in DM can be considered derived content. An example of Computational Method metadata is shown below; Cytel Inc. Confidential & Proprietary.

Comments Metadata The Comments metadata spreadsheet provides a common place to specify unique comments. An example of Comments metadata is shown below; Cytel Inc. Confidential & Proprietary.

External Links The SDTM define file has links to two documents: the annotated CRFs and a reviewer’s guide.  Adding to those, any additional supplemental documents should now be specified in the External Links spreadsheet.   An example of External Links is shown below; Cytel Inc. Confidential & Proprietary.

Define File Header Metadata The header information for define.xml is described below; Cytel Inc. Confidential & Proprietary.

Summary The best approach to implement SDTM in Base SAS is through the heavy use of metadata to drive the conversion process. Build a metadata repository to hold your SDTM metadata, both to make conversions easier and to make building define.xml file possible. Cytel Inc. Confidential & Proprietary.

Reference Implementing CDISC Using SAS – Jack Shostak & Chris Holland. Cytel Inc. Confidential & Proprietary.

Questions? Cytel Inc. Confidential & Proprietary.