SDTM domains by query - is it possible?

Size: px
Start display at page:

Download "SDTM domains by query - is it possible?"

Transcription

1 SDTM domains by query - is it possible? Johannes Ulander Standardisa8on and Harmonisa8on Specialist S-Cubed

2 Agenda What is data? Introduc8on to linked data and graphs Try some examples Where did my SDTM domain go? SDTM by Query Summary

3 What is data? 3

4 Introduc1on to graphs Node Site ID: 1 City: London Site Works at Inves8gator Name: Dr. X Property Rela)onship Triples 4

5 Introduc1on to graphs Node Site ID: 1 City: London Site Works at Inves8gator Name: Dr. X Property Node Property Value Site Site ID 1 Site City London Rela)onship Node Rela(on Node Inves8gator Works at Site Node Property Value Inves8gator Name Dr. X 5

6 Introduc1on to graphs Node Site ID: 1 City: London Site Works at Inves8gator Name: Dr. X Property Inves8gator Name: Dr. Who Site ID: 2 City: Leeds Site Works at Inves8gator Name: Dr. Y 6

7

8 Race/Ethnicity MULTIPLE X + X Reported Ethnicity Ethnicity Name: Not Hispanic or La8no Subject Reported Race X X USUBJID: 1 Sex: Female Race Name: Asian Race Name: Black or African American 8

9 The graph can be queried Don t need to change the ques8on

10 The Graph is for storing informa1on = Visualiza8on is something different

11 TAUG Parkinson s Disease Diagnos8c Criteria Example CRF Medical History X X Graph representa8on 11

12 Medical History Significant pre-exis8ng condi8on Disease Name: Tinnitus USUBJID:S01 Subject First symptoms Date: Primary Diagnosis Date: Primary Diagnosis Date: Disease Name: Alzheimer s USUBJID:S02 Subject First symptoms Date: Significant pre-exis8ng condi8on 12

13 Where did my SDTM domain go?

14 Where did my SDTM domain go? MATCH (n) WHERE n.domain = MH AND n.usubjid = 1

15 Query Medical SDTM MH Domain MATCH (s:subject)-[]->(n), (s:subject)-[]-(study:study) WHERE s.usubjid = '1' AND n.domain = 'MH' RETURN study.name as STUDYID, s.usubjid as USUBJID, n.domain as DOMAIN, n.name as MHTERM, n.stdtc as MHSTDTC

16 SDTM domains are queries First exposure to study treatment EX Part of the query Not duplicated Not mapped DS DM

17 What about Analysis Data? EX DS DM

18 What about Analysis Data? Create average Systolic Blood Pressure MATCH (sbpnode:standardisedresult {name:"systolic Blood Pressure"})<-[]-(subjectNode:Subject {USUBJID:"1"}) CREATE (averagenode:average {name:"average SYSBP"}) WITH COLLECT(sbpNode) as sbpnodes, averagenode, AVG(sbpNode.STRESN) as theaveragevalue, subjectnode FOREACH (node in sbpnodes CREATE (node)-[source:sourcevalue]-(averagenode) ) SET averagenode.value = theaveragevalue CREATE (averagenode)<-[:derivedvalue]-(subjectnode) RETURN sbpnodes, averagenode, subjectnode

19 What about Analysis Data? EX Average SYSBP DS DM VS Averages ADVS

20 Add defini1on to query MATCH (sbpnode:standardisedresult {name:"systolic Blood Pressure"})<-[]-(subjectNode:Subject {USUBJID:"1"}) CREATE (averagenode:average {name:"average SYSBP"}) WITH COLLECT(sbpNode) as sbpnodes, averagenode, AVG(sbpNode.STRESN) as theaveragevalue, subjectnode FOREACH (node in sbpnodes CREATE (node)-[source:sourcevalue]-(averagenode) ) SET averagenode.value = theaveragevalue SET averagenode.value = theaveragevalue, averagenode.definition = " averagenode.method = "AVG() function" CREATE (averagenode)<-[:derivedvalue]-(subjectnode) RETURN sbpnodes, averagenode, subjectnode

21 The Galaxy of Clinical data meets the Universe EX DS DM VS Averages ADVS

22 Summary It is possible to create an SDTM domain by query Standardised structures Standardised queries In linked data there are no boundaries No mapping Linked data excels at handling complex informa1on Solves many of our current problems in rela1onal databases and standards management CDISC

23 Thank you for listening Johannes Ulander Standardisa8on and Harmonisa8on Specialist S-Cubed

Johannes Ulander. Standardisation and Harmonisation Specialist S-Cubed. PhUSE SDE Beerse,

Johannes Ulander. Standardisation and Harmonisation Specialist S-Cubed. PhUSE SDE Beerse, Towards better data Johannes Ulander Standardisation and Harmonisation Specialist S-Cubed PhUSE SDE Beerse, 2017-11-28 Agenda What is data? Current state of submissions Introduction to linked data and

More information

Clinical Metadata A complete metadata and project management solu6on. October 2017 Andrew Ndikom and Liang Wang

Clinical Metadata A complete metadata and project management solu6on. October 2017 Andrew Ndikom and Liang Wang A complete metadata and project management solu6on. October 2017 Andrew Ndikom and Liang Wang 1 Agenda How is metadata currently managed within the industry? Five key problems with current approaches.

More information

ADaM and traceability: Chiesi experience

ADaM and traceability: Chiesi experience ADaM and traceability: Chiesi experience BIAS Seminar «Data handling and reporting in clinical trials with SAS» Glauco Cappellini 22-Feb-2013 Agenda Chiesi Model for Biometrics Regulatory Background ADaM:

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

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

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

Codelists Here, Versions There, Controlled Terminology Everywhere Shelley Dunn, Regulus Therapeutics, San Diego, California

Codelists Here, Versions There, Controlled Terminology Everywhere Shelley Dunn, Regulus Therapeutics, San Diego, California ABSTRACT PharmaSUG 2016 - Paper DS16 lists Here, Versions There, Controlled Terminology Everywhere Shelley Dunn, Regulus Therapeutics, San Diego, California Programming SDTM and ADaM data sets for a single

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

AZ CDISC Implementation

AZ CDISC Implementation AZ CDISC Implementation A brief history of CDISC implementation Stephen Harrison Overview Background CDISC Implementation Strategy First steps Business as usual ADaM or RDB? Lessons learned Summary 2 Background

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

Visualizing Logical Dependencies in SWRL Rule Bases

Visualizing Logical Dependencies in SWRL Rule Bases Visualizing Logical Dependencies in SWRL Rule Bases Saeed Hassanpour, Mar:n J. O Connor and Amar K. Das Stanford Center for Biomedical Informa:cs Research MSOB X215, 251 Campus Drive, Stanford, California,

More information

A Taste of SDTM in Real Time

A Taste of SDTM in Real Time A Taste of SDTM in Real Time Changhong Shi, Merck & Co., Inc., Rahway, NJ Beilei Xu, Merck & Co., Inc., Rahway, NJ ABSTRACT The Study Data Tabulation Model (SDTM) is a Clinical Data Interchange Standards

More information

Advantages of a real end-to-end approach with CDISC standards

Advantages of a real end-to-end approach with CDISC standards Advantages of a real end-to-end approach with CDISC standards Dr. Philippe Verplancke CEO XClinical GmbH 26th Annual EuroMeeting 25-27 March 2014 ACV, Vienna Austria Disclaimer The views and opinions expressed

More information

Traceability: Some Thoughts and Examples for ADaM Needs

Traceability: Some Thoughts and Examples for ADaM Needs PharmaSUG 2018 - Paper DS-01 Traceability: Some Thoughts and Examples for ADaM Needs Sandra Minjoe, PRA Health Sciences; Wayne Zhong, Accretion Softworks; Quan (Jenny) Zhou, Eli Lilly and Company; Kent

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

2013 Local Arts Agency Salary & Benefits Summary EXECUTIVE DIRECTOR / PRESIDENT / CEO

2013 Local Arts Agency Salary & Benefits Summary EXECUTIVE DIRECTOR / PRESIDENT / CEO Local Arts Agency Salary & Benefits Summary EXECUTIVE DIRECTOR / PRESIDENT / CEO PRIVATE LAAS ONLY PUBLIC LAAS ONLY The Executive Director / President / Chief Executive Officer (CEO) is the chief staff

More information

Vine Medical Group Patient Registration Form Your Information

Vine Medical Group Patient Registration Form Your Information Your Information Welcome to Vine Medical Group. In order for us to offer you the high standards of clinical care we give to our patients, we ask that you complete this registration form. Before we are

More information

Pharmaceutical Applications

Pharmaceutical Applications Automating File Creation: Metadata Files Speeding the Process Daphne Ewing, Auxilium Pharmaceuticals, Inc, Malvern, PA ABSTRACT For small to mid-size companies that cannot afford to purchase expensive

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

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

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

Page 1 of 6 SURVEY: PROJECT TECH

Page 1 of 6 SURVEY: PROJECT TECH SURVEY: PROJECT TECH Case managers: Thank you for working with us to administer the survey. Please read each question as it is written. Instructions for you are written in italics. Information that you

More information

Metadata and ADaM.

Metadata and ADaM. Metadata and ADaM 1 Disclaimer Any views or opinions presented in this presentation are solely those of the author and do not necessarily represent those of the company. 2 Agenda Introduction of ADaM Metadata

More information

DADC Submission Instructions

DADC Submission Instructions System Purpose: The purpose of the Designated Agency Data Collection (DADC) is for each designated agency (DA) to report candidate information to CDE. Pursuant to state statute, CRS 22-2112(q)(I), CDE

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

Registering and submitting data for multiple healthcare organizations... 4

Registering and submitting data for multiple healthcare organizations... 4 Version 2 Account Management & Data Submission Guide 2 Target: BP overview The Target: BP Recognition Program celebrates physician practices and health systems for achieving blood pressure control rates

More information

Sec$on 2: Specifica)on, ADTs, RI WITH MATERIAL FROM MANY

Sec$on 2: Specifica)on, ADTs, RI WITH MATERIAL FROM MANY Sec$on 2: Specifica)on, ADTs, RI WITH MATERIAL FROM MANY Agenda Announcements HW1: due today at 23:59 pm Don t forget to commit/push your changes THIS INCLUDES TAGGING YOUR FINAL VERSION Abstract data

More information

The first three steps in data entry, with examples in PASW/SPSS. Steve Simon P.Mean Consulting

The first three steps in data entry, with examples in PASW/SPSS. Steve Simon P.Mean Consulting The first three steps in data entry, with examples in PASW/SPSS Steve Simon P.Mean Consulting www.pmean.com 2. Abstract This training class will give you a general introduction to data management using

More information

Intelligent Systems Knowledge Representa6on

Intelligent Systems Knowledge Representa6on Intelligent Systems Knowledge Representa6on SCJ3553 Ar6ficial Intelligence Faculty of Computer Science and Informa6on Systems Universi6 Teknologi Malaysia Outline Introduc6on Seman6c Network Frame Conceptual

More information

In this packet, you will find the forms necessary for your child to apply to the Registry. To apply, please complete the following steps:

In this packet, you will find the forms necessary for your child to apply to the Registry. To apply, please complete the following steps: Dear Registry Applicant, Thank you for your interest in the National Registry of Myotonic Dystrophy and Facioscapulohumeral Muscular Dystrophy Patients and Family Members! The Registry was established

More information

Standard Safety Visualization Set-up Using Spotfire

Standard Safety Visualization Set-up Using Spotfire Paper SD08 Standard Safety Visualization Set-up Using Spotfire Michaela Mertes, F. Hoffmann-La Roche, Ltd., Basel, Switzerland ABSTRACT Stakeholders are requesting real-time access to clinical data to

More information

MethodDefs, ValueLists and WhereClauses:

MethodDefs, ValueLists and WhereClauses: MethodDefs, ValueLists and WhereClauses: How to Define Data Traceability in an MDR DH03 Judith Goud, Nurocor Agenda Data Traceability Standards Traceability in Clinical Development Systems Conclusion Data

More information

From SAP to BDS: The Nuts and Bolts Nancy Brucken, i3 Statprobe, Ann Arbor, MI Paul Slagle, United BioSource Corp., Ann Arbor, MI

From SAP to BDS: The Nuts and Bolts Nancy Brucken, i3 Statprobe, Ann Arbor, MI Paul Slagle, United BioSource Corp., Ann Arbor, MI PharmaSUG2011 - Paper HW05 From SAP to BDS: The Nuts and Bolts Nancy Brucken, i3 Statprobe, Ann Arbor, MI Paul Slagle, United BioSource Corp., Ann Arbor, MI ABSTRACT You've just read through the protocol,

More information

ADDING A PRACTITIONER FORM

ADDING A PRACTITIONER FORM This form is applicable for Medicaid AND Passport Advantage provider networks. YOU ONLY NEED TO SUBMIT THIS FORM ONE (1) TIME. ADVANTAGE (HMO SNP) ADDING A PRACTITIONER FORM Must complete entire form for

More information

CDISC Standards and the Semantic Web

CDISC Standards and the Semantic Web CDISC Standards and the Semantic Web Dave Iberson-Hurst 12 th October 2015 PhUSE Annual Conference, Vienna 1 Abstract With the arrival of the FDA guidance on electronic submissions, CDISC SHARE and the

More information

How to Use the Cancer-Rates.Info/NJ

How to Use the Cancer-Rates.Info/NJ How to Use the Cancer-Rates.Info/NJ Web- Based Incidence and Mortality Mapping and Inquiry Tool to Obtain Statewide and County Cancer Statistics for New Jersey Cancer Incidence and Mortality Inquiry System

More information

Considerations on creation of SDTM datasets for extended studies

Considerations on creation of SDTM datasets for extended studies 13/May/2016 As one of the activities of CDISC Japan User Group (CJUG), a small group, "Extension study team" was organized in 2015. The team discussed what kind of approach works better for SDTM creation

More information

The application of SDTM in a disease (oncology)-oriented organization

The application of SDTM in a disease (oncology)-oriented organization Paper CD01 The application of SDTM in a disease (oncology)-oriented organization Angelo Tinazzi, Alessandro Cattaneo, Enrica Paschetto, Sonia Colombini SENDO-Tech S.r.l., Milan, Italy ABSTRACT Applying

More information

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

Tangible Visualiza.on. Andy Wu Synaesthe.c Media Lab GVU Center Georgia Ins.tute of Technology

Tangible Visualiza.on. Andy Wu Synaesthe.c Media Lab GVU Center Georgia Ins.tute of Technology Tangible Visualiza.on Andy Wu Synaesthe.c Media Lab GVU Center Georgia Ins.tute of Technology Introduc.on Informa.on Visualiza.on (Infovis) is the study of the visual representa.on of complex informa.on,

More information

RImmPort: Enabling ready-for-analysis immunology research data Ravi Shankar

RImmPort: Enabling ready-for-analysis immunology research data Ravi Shankar RImmPort: Enabling ready-for-analysis immunology research data Ravi Shankar 2017-10-30 Contents 1 Introduction 1 2 Overview of ImmPort 2 3 Overview of RImmPort 2 4 Overview of CDISC SDTM Data Standard

More information

RImmPort: Enabling ready-for-analysis immunology research data Ravi Shankar

RImmPort: Enabling ready-for-analysis immunology research data Ravi Shankar RImmPort: Enabling ready-for-analysis immunology research data Ravi Shankar 2016-10-17 Contents 1 Introduction 2 2 Overview of ImmPort 2 3 Overview of RImmPort 3 4 Overview of CDISC SDTM Data Standard

More information

Study Composer: a CRF design tool enabling the re-use of CDISC define.xml metadata

Study Composer: a CRF design tool enabling the re-use of CDISC define.xml metadata Paper SD02 Study Composer: a CRF design tool enabling the re-use of CDISC define.xml metadata Dr. Philippe Verplancke, XClinical GmbH, Munich, Germany ABSTRACT define.xml is often created at the end of

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

Hands-On ADaM ADAE Development Sandra Minjoe, Accenture Life Sciences, Wayne, Pennsylvania Kim Minkalis, Accenture Life Sciences, Wayne, Pennsylvania

Hands-On ADaM ADAE Development Sandra Minjoe, Accenture Life Sciences, Wayne, Pennsylvania Kim Minkalis, Accenture Life Sciences, Wayne, Pennsylvania PharmaSUG 2014 - Paper HT03 Hands-On ADaM ADAE Development Sandra Minjoe, Accenture Life Sciences, Wayne, Pennsylvania Kim Minkalis, Accenture Life Sciences, Wayne, Pennsylvania ABSTRACT The Analysis Data

More information

PharmaSUG Paper PO21

PharmaSUG Paper PO21 PharmaSUG 2015 - Paper PO21 Evaluating SDTM SUPP Domain For AdaM - Trash Can Or Buried Treasure Xiaopeng Li, Celerion, Lincoln, NE Yi Liu, Celerion, Lincoln, NE Chun Feng, Celerion, Lincoln, NE 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

Welcome / Introductions

Welcome / Introductions A23 - CECAS Analytics Tool I Training Script (11.12.2014) 1 Welcome / Introductions Hello. I m Patricia Smith, regional trainer for regions 5 and 7. I d like to welcome you to this CECAS Analytics Tool

More information

Automation of SDTM Programming in Oncology Disease Response Domain Yiwen Wang, Yu Cheng, Ju Chen Eli Lilly and Company, China

Automation of SDTM Programming in Oncology Disease Response Domain Yiwen Wang, Yu Cheng, Ju Chen Eli Lilly and Company, China ABSTRACT Study Data Tabulation Model (SDTM) is an evolving global standard which is widely used for regulatory submissions. The automation of SDTM programming is essential to maximize the programming efficiency

More information

Updating Personal Information

Updating Personal Information University of Connecticut Updating Personal Information Overview Self-service users can view and update their personal information at any time via self-service pages in Core-CT. This information includes:

More information

Introduc.on to Databases

Introduc.on to Databases Introduc.on to Databases G6921 and G6931 Web Technologies Dr. Séamus Lawless Housekeeping Course Structure 1) Intro to the Web 2) HTML 3) HTML and CSS Essay Informa.on Session 4) Intro to Databases 5)

More information

Traceability in the ADaM Standard Ed Lombardi, SynteractHCR, Inc., Carlsbad, CA

Traceability in the ADaM Standard Ed Lombardi, SynteractHCR, Inc., Carlsbad, CA ABSTRACT PharmaSUG 2013 - Paper PO13 Traceability in the ADaM Standard Ed Lombardi, SynteractHCR, Inc., Carlsbad, CA Traceability is one of the fundamentals of the ADaM Standard. However, there is not

More information

RImmPort: Quick Start Guide Ravi Shankar

RImmPort: Quick Start Guide Ravi Shankar RImmPort: Quick Start Guide Ravi Shankar 2018-04-30 1 Introduction ImmPort study data is available for download in two formats currently: MySQL and TSV (Tab) formats. The RImmPort workflow is as follows:

More information

UNIT II A. ENTITY RELATIONSHIP MODEL

UNIT II A. ENTITY RELATIONSHIP MODEL UNIT II A. ENTITY RELATIONSHIP MODEL Agenda En0ty & En0ty Sets A6ributes Rela0onship & Rela0onship Sets Constraints Mapping Cardinali0es, Par0cipa0on Constraints, Keys E-R Diagrams & Design of Database

More information

Robust approach to create Define.xml v2.0. Vineet Jain

Robust approach to create Define.xml v2.0. Vineet Jain Robust approach to create Define.xml v2.0 Vineet Jain DEFINE SYSTEM GOALS Generic Powerful Reliable Integrable Efficient Works across SDTM, ADaM & SEND Create define.xml, annotated CRF & define.pdf Create

More information

Improving CDISC SDTM Data Quality & Compliance Right from the Beginning

Improving CDISC SDTM Data Quality & Compliance Right from the Beginning Improving CDISC Data Quality & Compliance Right from the Beginning Bharat Chaudhary, Cytel Padamsimh Balekundri, Cytel Session CD08 PhUSE 2015, Vienna Agenda Background Overview: Development The Problem:

More information

MPM 1DI Unit 8. Optimization

MPM 1DI Unit 8. Optimization RECALL: MPM 1DI Unit 8 Optimization Day 2: Optimization of Square Based Prisms Last class we looked at a) how to opmize (maximize) the area of a rectangle with a given perimeter & b) how to opmize (minimize)

More information

SDTM-ETL. New features in version 3.2. SDTM-ETLTM: New features in v.3.2

SDTM-ETL. New features in version 3.2. SDTM-ETLTM: New features in v.3.2 SDTM-ETL TM New features in version 3.2 Version 3.2 is available since spring 2017 p.1/44 Author: Jozef Aerts XML4Pharma August 2017 Table of Contents Introduction...3 Support for SEND-IG v.3.1...4 Wizards

More information

From Just Shells to a Detailed Specification Document for Tables, Listings and Figures Supriya Dalvi, InVentiv Health Clinical, Mumbai, India

From Just Shells to a Detailed Specification Document for Tables, Listings and Figures Supriya Dalvi, InVentiv Health Clinical, Mumbai, India PharmaSUG 2014 - Paper IB07 From Just Shells to a Detailed Specification Document for Tables, Listings and Figures Supriya Dalvi, InVentiv Health Clinical, Mumbai, India ABSTRACT We are assigned a new

More information

Part Identification. Accuracy. Special Features PI SYSTEM. Irregular Heartbeat Detection (IHB) Low Noise System. Memory Feature. Body.

Part Identification. Accuracy. Special Features PI SYSTEM. Irregular Heartbeat Detection (IHB) Low Noise System. Memory Feature. Body. mmhg mmhg MEM START/STOP Special Features Part Identification PI SYSTEM TM Zewa s exclusive PI System TM (Personalized Inflation System) automatically determines the correct inflation pressure needed to

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

Hands-On ADaM ADAE Development Sandra Minjoe, Accenture Life Sciences, Wayne, Pennsylvania

Hands-On ADaM ADAE Development Sandra Minjoe, Accenture Life Sciences, Wayne, Pennsylvania PharmaSUG 2013 - Paper HT03 Hands-On ADaM ADAE Development Sandra Minjoe, Accenture Life Sciences, Wayne, Pennsylvania ABSTRACT The Analysis Data Model (ADaM) Data Structure for Adverse Event Analysis

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

Maryland IMMUNET System

Maryland IMMUNET System Maryland IMMUNET System HMO Data Exchange Specifications Application Version 1.0 Last Updated: November 25, 2013 1 Maryland State Immunization Information System Maryland State Immunization Information

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

Study Data Tabulation Model Implementation Guide: Human Clinical Trials Prepared by the CDISC Submission Data Standards Team

Study Data Tabulation Model Implementation Guide: Human Clinical Trials Prepared by the CDISC Submission Data Standards Team Study Data Tabulation Model Implementation Guide: Human Clinical Trials Prepared by the CDISC Submission Data Standards Team Notes to Readers This is the approved implementation guide for Version 1 of

More information

Leveraging User Session Data to Support Web Applica8on Tes8ng

Leveraging User Session Data to Support Web Applica8on Tes8ng Leveraging User Session Data to Support Web Applica8on Tes8ng Authors: Sebas8an Elbaum, Gregg Rotheermal, Srikanth Karre, and Marc Fisher II Presented By: Rajiv Jain Outline Introduc8on Related Work Tes8ng

More information

Quick Reference for the FloridaCHARTS Fetal Death Query

Quick Reference for the FloridaCHARTS Fetal Death Query Quick Reference for the FloridaCHARTS Fetal Death Query 1. Toolbar Functions 2. Reports 3. Frequently Asked Questions This application is set up in sections. To use it, you do not have to follow any particular

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

Silicosis Prevalence Among Medicare Beneficiaries,

Silicosis Prevalence Among Medicare Beneficiaries, Silicosis Prevalence Among Medicare Beneficiaries, 1999 2014 Megan Casey, RN, BSN, MPH Nurse Epidemiologist Expanding Research Partnerships: State of the Science June 21, 2017 National Institute for Occupational

More information

Texas A&M University. Prepared by Office of Institutional Studies and Planning Dr. Cindy Dutschke, Director

Texas A&M University. Prepared by Office of Institutional Studies and Planning Dr. Cindy Dutschke, Director Prepared by Office of Institutional Studies and Planning Dr. Cindy Dutschke, Director Applications For First-time in College and Bachelors Degree Seeking Students for Summer / Fall 2001 Total Applicants

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

PMDA Valida+on Rules. Preparing for your next submission to Japanese Pharmaceu6cals and Medical Devices Agency. Max Kanevsky December 10, 2015

PMDA Valida+on Rules. Preparing for your next submission to Japanese Pharmaceu6cals and Medical Devices Agency. Max Kanevsky December 10, 2015 PMDA Valida+on Rules Preparing for your next submission to Japanese Pharmaceu6cals and Medical Devices Agency Max Kanevsky December 10, 2015 Presenter Max Kanevsky Founder of OpenCDISC CEO of Pinnacle

More information

Conversion of Company Standard Trial Data to SDTM

Conversion of Company Standard Trial Data to SDTM Conversion of Company Standard Trial Data to SDTM CDISC Italian-Speaking User Group Meeting Milan, Italy March 6, 2009 Jennifer Lin, Niki Molnar Novartis Vaccines Agenda Our Clinical Data Management Environment

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

Optimization of the traceability when applying an ADaM Parallel Conversion Method

Optimization of the traceability when applying an ADaM Parallel Conversion Method SI04 Optimization of the traceability when applying an ADaM Parallel Conversion Method Roxane Debrus ADaM Conversion Process Agenda %LIB_QC_contents_html %adam_sdtm_compa Conclusion ADaM Conversion Process

More information

INTRODUCTION to SAS STATISTICAL PACKAGE LAB 3

INTRODUCTION to SAS STATISTICAL PACKAGE LAB 3 Topics: Data step Subsetting Concatenation and Merging Reference: Little SAS Book - Chapter 5, Section 3.6 and 2.2 Online documentation Exercise I LAB EXERCISE The following is a lab exercise to give you

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

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

Alignment and Image Comparison. Erik Learned- Miller University of Massachuse>s, Amherst

Alignment and Image Comparison. Erik Learned- Miller University of Massachuse>s, Amherst Alignment and Image Comparison Erik Learned- Miller University of Massachuse>s, Amherst Alignment and Image Comparison Erik Learned- Miller University of Massachuse>s, Amherst Alignment and Image Comparison

More information

Best Practice for Explaining Validation Results in the Study Data Reviewer s Guide

Best Practice for Explaining Validation Results in the Study Data Reviewer s Guide Paper DS06 Best Practice for Explaining Validation Results in the Study Data Reviewer s Guide Kristin Kelly, Pinnacle 21 LLC, Plymouth Meeting, PA, USA Michael Beers, Pinnacle 21 LLC, Plymouth Meeting,

More information

New Approach to Graph Databases

New Approach to Graph Databases Paper PP05 New Approach to Graph Databases Anna Berg, Capish, Malmö, Sweden Henrik Drews, Capish, Malmö, Sweden Catharina Dahlbo, Capish, Malmö, Sweden ABSTRACT Graph databases have, during the past few

More information

Standardising The Standards The Benefits of Consistency

Standardising The Standards The Benefits of Consistency Paper DH06 Standardising The Standards The Benefits of Consistency Nathan James, Roche Products Ltd., Welwyn Garden City, UK ABSTRACT The introduction of the Study Data Tabulation Model (SDTM) has had

More information

PharmaSUG Paper DS06 Designing and Tuning ADaM Datasets. Songhui ZHU, K&L Consulting Services, Fort Washington, PA

PharmaSUG Paper DS06 Designing and Tuning ADaM Datasets. Songhui ZHU, K&L Consulting Services, Fort Washington, PA PharmaSUG 2013 - Paper DS06 Designing and Tuning ADaM Datasets Songhui ZHU, K&L Consulting Services, Fort Washington, PA ABSTRACT The developers/authors of CDISC ADaM Model and ADaM IG made enormous effort

More information

CDISC Standards End-to-End: Enabling QbD in Data Management Sam Hume

CDISC Standards End-to-End: Enabling QbD in Data Management Sam Hume CDISC Standards End-to-End: Enabling QbD in Data Management Sam Hume 1 Shared Health and Research Electronic Library (SHARE) A global electronic repository for developing, integrating

More information

Updating Personal Information

Updating Personal Information University of Connecticut Updating Personal Information Overview Self-service users can view and update their personal information at any time via self-service pages in Core-CT. This information includes:

More information

Reducing SAS Dataset Merges with Data Driven Formats

Reducing SAS Dataset Merges with Data Driven Formats Paper CT01 Reducing SAS Dataset Merges with Data Driven Formats Paul Grimsey, Roche Products Ltd, Welwyn Garden City, UK ABSTRACT Merging different data sources is necessary in the creation of analysis

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

Iowa EMS Patient Registry Web Entry. User Manual

Iowa EMS Patient Registry Web Entry. User Manual Iowa EMS Patient Registry Web Entry User Manual Table of Contents System Overview...2 Web Data Entry Login...2 Iowa WebCUR EMS Home Page...3 Print this Page...3 Date Range...3 Menu Bar...3 Data Entry...3

More information

CDISC Nutrition Therapeutic Area User Guide Public Review Webinar

CDISC Nutrition Therapeutic Area User Guide Public Review Webinar CDISC Nutrition Therapeutic Area User Guide Public Review Webinar Presented by John Owen Nutrition TAUG Project Manager, Standards Development, CDISC 18 Oct 2018 Presenter and Q&A Panelists Presenter John

More information

Import and Browse. Review data. bp_stages is a chart based on a graphic

Import and Browse. Review data. bp_stages is a chart based on a graphic Import and Browse Review data is a chart based on a graphic hrs_clin is clinical data patient id (anonymized) some interesting things to note here. female is a boolean age is a number depress_dx is a 0/1,

More information

Discrepancy Management

Discrepancy Management Discrepancy Management While working in OC RDC, you will encounter discrepancies with various assigned statuses. The description of each type of status is listed below. Unreviewed This is the Unreviewed

More information

Importing Students. Harcourt ThinkCentral Page 1 of 6

Importing Students. Harcourt ThinkCentral Page 1 of 6 Importing Students When a large number of student accounts are being created or updated for the ThinkCentral, you may want to use the Import Users feature. This will eliminate having to create or update

More information

Standards Metadata Management (System)

Standards Metadata Management (System) Standards Metadata Management (System) Kevin Lee, MarkLogic COPYRIGHT 2015 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED. Agenda Regulatory Requirement on Clinical Trial Standards(i.e., CDISC and ectd) Standards

More information

Alignment and Image Comparison

Alignment and Image Comparison Alignment and Image Comparison Erik Learned- Miller University of Massachuse>s, Amherst Alignment and Image Comparison Erik Learned- Miller University of Massachuse>s, Amherst Alignment and Image Comparison

More information

Creating Forest Plots Using SAS/GRAPH and the Annotate Facility

Creating Forest Plots Using SAS/GRAPH and the Annotate Facility PharmaSUG2011 Paper TT12 Creating Forest Plots Using SAS/GRAPH and the Annotate Facility Amanda Tweed, Millennium: The Takeda Oncology Company, Cambridge, MA ABSTRACT Forest plots have become common in

More information

The Benefits of Traceability Beyond Just From SDTM to ADaM in CDISC Standards Maggie Ci Jiang, Teva Pharmaceuticals, Great Valley, PA

The Benefits of Traceability Beyond Just From SDTM to ADaM in CDISC Standards Maggie Ci Jiang, Teva Pharmaceuticals, Great Valley, PA PharmaSUG 2017 - Paper DS23 The Benefits of Traceability Beyond Just From SDTM to ADaM in CDISC Standards Maggie Ci Jiang, Teva Pharmaceuticals, Great Valley, PA ABSTRACT Since FDA released the Analysis

More information

Bulk Upload Instructions: User Data Rules and Guidelines. As of v1.1.7

Bulk Upload Instructions: User Data Rules and Guidelines. As of v1.1.7 Bulk Upload Instructions: User Data Rules and Guidelines As of v1.1.7 Introduction The following instructions and guidelines have been designed to show you how to properly format teacher and student data

More information

APPLICATION DEADLINES

APPLICATION DEADLINES GUIDELINES FOR RECERTIFICATION THROUGH CONTINUING EDUCATION FOR CLINICAL NEPHROLOGY TECHNOLOGY, BIOMEDICAL NEPHROLOGY TECHNOLOGY, AND DIALYSIS WATER SPECIALIST APPLICATION DEADLINES In order to be acceptable,

More information

Legacy to SDTM Conversion Workshop: Tools and Techniques

Legacy to SDTM Conversion Workshop: Tools and Techniques Legacy to SDTM Conversion Workshop: Tools and Techniques Mike Todd President Nth Analytics Legacy Data Old studies never die Legacy studies are often required for submissions or pharmacovigilence. Often

More information