PhUSE Paper CD07. Data Governance Keeping Control through a Well-Defined Change Request Process
|
|
|
- Charles Jefferson
- 10 years ago
- Views:
Transcription
1 PhUSE 2015 Paper CD07 Data Governance Keeping Control through a Well-Defined Change Request Process Author: Gavin Winpenny, Business & Decision Life Sciences, Brussels, Belgium Introduction The effective management of Change Requests is a keystone in the delivery of standards within an organisation. Without a well-defined process that supports tracks and informs standards managers of the status of updates, it will be difficult to maintain control of global standards. This presentation will draw from real life experience and focus on the Data Governance processes required to deliver updates to standards from cross-functional teams (data managers, statisticians, programmers and standards managers). The governance processes include development, maintenance, escalation and appeal. From initial request to an Impact Analysis assessment of a requested change (including understanding the potential impact on linked Library Objects), through to planning and tracking till completion, an efficient Data Governance Change Request (CR) process enables controlled changes to a global standards repository platform (aka Metadata Repository (MDR)) whilst keeping the change process nimble and open, with the goal that data standards defined in the repository are quickly adapted to reflect the changing needs of its users. Effective Data Standards Governance Although the configuration of standards management will differ from company to company, all organisations involved in the creation and use of Data Standards will have a governance mechanism in place. The elements included within an MDR may differ in other organisations, but there will be common elements to perform the controlled management of standards. The roles, functions and descriptions in this paper reflect the experience of working with a global pharma company and the development of BDLS s commercial platform, CDmation. The vision for the global standards repository was not limited to CDISC Standards (CDASH, SDTM, ADaM), but was to deliver End-to-End (E2E) metadata definition and management, including: Data Collection Modules (DCMs); Endpoints; Assessments; Statistical Methods; Protocol elements; Statistical Analysis Plan (SAP) elements; Tables, Figures and Listings (TFLs); and Analysis Results Metadata (ARM). The successful development of a governance process flow combines multiple threads: Change Request Roles definition; Change Request Cluster categorization; Change Request Evaluation Criteria; Change Request Impact Analysis; and Assignment of Library Objects to Change Request Work Packages. Data Standards Governance Change Request - Roles In working with our client, a core principal of the platform was the need for it to be responsive to the business needs. The platform would be accessed across wide functional user-community - data management, biostatistics, programming, clinical scientists and standards management. Whilst most users would be read-only, consumers of standards, there would also be a number of subject matter experts drawn 1
2 from the different functions to act as key resources in the creation, update and maintenance of metadata within the framework of the Data Governance process, with this overseen by the Standards Office. Figure 1 - Change Request Roles Standards Consumer: Able to browse and consume the data standards stored within the global standards repository, but not able to make any updates (read-only access). In consuming the data standards, it is important that the users be engage with the standards, and be able to initiate requests for updates and additions to the standards. Project Manager: Responsible supporting, overseeing and coordinating the Change Request activities, including Change Request Ownership; Validation of the CR; tracking of planning and implementation of CR after approval. Standards Manager: Responsible for Standards Governance and maintenance of the global standards repository, including oversight of the process and final promotion of Library Objects from test into production. Standards Administrator: Responsible for the user access management and definition, configuration and management of system level elements, e.g. Change Request Status; Role types; User Role assignment; Cluster assignment, through system level code lists. This enables the system to be adaptable to changes in business processes and requirements. Standards Librarian: Imposes additional organization structures by applying tagging to Library Objects, e.g. Standards Version, TA, etc., with write access only to Library Objects for which they have responsibilities. Standards Steward: Subject Matter Expert (SME) responsible for the development and maintenance of the standards within the Global Standards Repository, with Read/Write access to Library Objects for which they are a Subject Matter Expert. Figure 2 - Standards Steward role 2
3 Data Standards Governance Change Request Cluster Categorization Early on the development of the Change Request process it was recognized that the type of change request being submitted would influence the evaluation to be performed, which in turn would influence who needed to be involved in the Change Request Evaluation step. To support this, Change Requests were grouped into three distinct clusters:- Cluster 1: Major standard development initiatives Requests for major standard development initiative, for example: o A new Disease Area o A new Global Standard o An upgrade to a new CDISC standard (e.g. upgrade to new SDTM or ADaM IG) Cluster 2: Changes or additions related to Implementation of the standards Requests for changes or additions to the implementation of standards, for example: o A new or updated library implementation object - amendment or correction of a Library Object, but not the creation of new content, such as an Endpoint. o A data collection / data analysis implementation object error o A compliance issue Cluster 3: Changes or additions related to Content of the standards Requests for changes or additions related to content of the standards, for example: o A new or updated library content object: this refers to the creation of new Library Object, such as an Endpoint. o A data collection / data analysis content object error o A new or updated standard from Transcelerate Data Standards Governance Change Request Evaluation Criteria As part of the Evaluation process, three dimensions are applied to assess whether a Change Request is justified and should be supported. Depending on the Cluster assigned, traffic lighting is applied to the Change Request, and one or more Evaluation Criteria may be applied and require a green light for it to progress to approved status. Evaluation Criteria 1: Scientific Merit Scientific Merit looks at whether or not a change request represents good science. For any Change Request to have scientific merit, it may contain the following components: address the importance to the disease area to be changed; utilize established scientific principles; demonstrate the scientific knowledge to support the Change Request. Evaluation Criteria 2: Cost Benefit The cost/benefit criteria will be used to evaluate whether the cost to implement the Change Request is supported by the rationale and reasoning for the change to be implemented. When the Change Request is a Content-related Change Request, e.g. change to the statistical requirements, the scientific merit of the change is the supporting rationale for the change request. 3
4 Evaluation Criteria 3: Compliance Compliance is the conformance to a specification, convention, policy or standard or law, with a set of compliance rules supporting the implementation of compliance. Examples of such conventions, policies and specifications are SDTM and ADaM Implementation Guides. The evaluation for compliance of a Change Request will be positive if the compliance rules are met, and negative if there's an issue with one or more compliance rules, resulting in the request for Change being supported in term of Compliance Evaluation Criteria. Figure 3 - Change Request Evaluation Criteria / Cluster Categorization Data Standards Governance Change Request Impact Analysis As Library Objects are by definition related to other Library Objects, understanding the relationships that exist is a critical piece in defining the scope of a Work Request simply put, a change to one Library Object may have a ripple effect and impact other objects. Consequently, a Change Request may impact across different functional areas, e.g. addition of a new ADaM variable or Value Level metadata parameter may touch Data Management, Stats, Programming, etc. A key feature of the Impact Analysis requirements for the Change Request tool was the ability to represent the relationship between Library Objects in a both a graphical and a tabular format. Figure 4 - Graphical View of Change Request Impact Analysis 4
5 Data Standards Governance Change Request Work Package As part of the impact analysis, the Library Objects impacted by the Change Request are assigned a Change Request Work Package category. In the design of the system, six Change Request Work Packages were identified: DCM; edc library Data Management (DM) Metadata; Statistical Requirements; Statistical Metadata; Programming. By doing so, it eased assignment of Ownership of the changes to a Library Object, tracking of completed CR Work Packages, and ultimately completion of the Change Request overall. Data Standards Governance Change Request Process Flow - Overview In developing the Change Request Process, a swim lane approach was adopted to better understand the triggers, responsibilities and relationships in the Submission, Validation, Evaluation, Appeal, and Implementation stages of a Change Request to the standards. *Imp = Implementation Figure 5 - High Level Overview of the Change Request Process From this, a more detailed description of the Change Request process Life Cycle was developed. Data Standards Governance Change Request Process Life Cycle Expanding on the overview Change Request process, ten steps were identified that describe the life cycle of a Change Request from Initiation through to Completion - Implementation (if Accepted), or Closed (if Rejected) is tracked through a Change Request portal, which closely integrates with the Global Standards Repository. Changes to the Library Objects within the Global Standards Repository are performed outside of the Change Request portal. Note: depending on the nature of the Change Request (Cluster assignment) and the decisions made during the Validation and/or Evaluation, some steps may or may not be applicable. 5
6 Change Request Process Life Cycle Steps Figure 6 - Change Request Process Life Cycle Initiation and submission Initial(Draft) / Initial (Submitted) Step Description: Change Request discussed by a team (any Standards Consumer is permitted to raise a Change Request, but in practice, it is likely that a change Request would be discussed within a team, and possibly with a Standards Steward prior to submission. Step Status: Initial (Draft) / Initial (Submitted)* - status after saving = Initial (Draft), allows for further edit before formal submission; Status after formally submitting = Initial (Submitted). Validation Assigned Step Description: When a Change Request is submitted in the system, the Project Manager takes ownership, performing a Validation of the Change Request. If rejected, it will be sent back to the Requestor with rationale for rejection and potentially requesting further information. If accepted, it will be assigned to the appropriate Standards Steward(s). Step Status: Assigned 6
7 Evaluation Under Evaluation Step Description: Evaluations are performed according to Change Request Evaluation Criteria, with the criteria of evaluation applied for a specific request based on the Change Request Cluster categorization. In addition, as Library Objects are related to other Library Objects, a critical step in the Evaluation is the performance of an Impact Analysis to understand the scope of the Change Request across the Data Standards Repository, and development of a Change Request Work Package. Step Status: Under Evaluation Evaluation Deferred (More information) Step Description: Triggered when a Change Request under evaluation requires more information to effectively evaluate it, and is routed back to the requestor. Should further information be received then the Change Request would revert to Step 3: Evaluation Under Evaluation. Step Status: Deferred (More information) Evaluation Approved Step Description: Change Request approved by the appropriate Standards Steward(s). The Change Request progresses to the next step (Implementation) to be planned and executed. Step Status: Approved Implementation In Progress Step Description: Change Request is set to In Progress when the implementation of the Change Request is started and the standards related to the Change Requests are being developed. Note, it is not the purpose of the Change Request tool to perform the detailed Project Management often involved in the execution of a complex Change Request, but rather by tracking for each Change Request Work Package its key milestones (start / end date and status) to allow the status of the individual Work Package components of a Change Request to be assessed, and the overall status of the Change Request ascertained. Step Status: In Progress Evaluation Deferred (Later Date) Step Description: A Change Request can have multiple related Work Packages, and it is quite possible for one or more of the planned Work Packages to be deferred to a later when all other work packages, if any, are completed. In these instances, Change Request status = "Deferred (Later Date)". Step Status: Deferred (Later Date) 7
8 Evaluation Rejected Step Description: Following assessment against the Evaluation Criteria, it is possible that a Change Request will not be approved for one or more particular reasons. Where Change Requests are rejected with rationale for rejection provided to the initiator of the Change Request. Step Status: Rejected Appeal Under Appeal (Draft) / Under Appeal (Submitted) Step Description: When a Change Request is rejected, the initiator of the Change Request can appeal the rejection and the Change Request. Should an initiator decide to appeal, they will usually be expected to supply additional information and rationale to appeal the rejection decision. Step Status: Under Appeal (Draft) / Under Appeal (Submitted) status after saving = Under Appeal (Draft)), allows for further edit before formal submission; Status after formally submitting = Under Appeal (Submitted). Implementation Completed Step Description: All Library Objects included in the Work Package(s) must be completed before it can be assigned as completed. Step Status: Completed Conclusion Through reference to the roles involved, the types of changes to be performed, the criteria for evaluation, and impact of a change requests, a well-designed Data Governance Change Requests process can be developed. This should be capable of leveraging the information within the Global Standards Repository to support the development, maintenance, evaluation (including Impact Analysis), escalation and appeal of Change Requests, whilst maintaining strong control features that allow the status of Change Request to be clearly identified and managed as it moves through the Change Request Life cycle. 8
9 CONTACT INFORMATION Since submitting this paper, G. Winpenny has moved company. In the first instance, please contact BDLS ( address below) for queries related to the content of the paper. Contact the author at: Gavin Winpenny Stephen Bamford Business & Decision Life Sciences St Lambertusstraat 141 Rue Saint-Lambert 1200 Brussel Bruxelles Work Phone: Fax: [email protected] Web: Brand and product names are trademarks of their respective companies. 9
Rationale and vision for E2E data standards: the need for a MDR
E2E data standards, the need for a new generation of metadata repositories Isabelle de Zegher, PAREXEL Informatics, Belgium Alan Cantrell, PAREXEL, United Kingdom Julie James, PAREXEL Informatics, United
Business & Decision Life Sciences What s new in ADaM
Business & Decision Life Sciences What s new in ADaM Gavin Winpenny 23 rd June 2015 Agenda What s happening CDISC and Regulatory Submission Landscape ADaM Implementation Guide ADaM Data Structures for
Practical application of SAS Clinical Data Integration Server for conversion to SDTM data
Paper DM03 Practical application of SAS Clinical Data Integration Server for conversion to SDTM data Peter Van Reusel, Business & Decision Life Sciences, Brussels, Belgium Mark Lambrecht, SAS, Tervuren,
UTILIZING CDISC STANDARDS TO DRIVE EFFICIENCIES WITH OPENCLINICA Mark Wheeldon CEO, Formedix Boston June 21, 2013
UTILIZING CDISC STANDARDS TO DRIVE EFFICIENCIES WITH OPENCLINICA Mark Wheeldon CEO, Formedix Boston June 21, 2013 AGENDA Introduction Real World Uses : Saving Time & Money. Your Clinical Trials Automated.
SDTM AND ADaM: HANDS-ON SOLUTIONS
SDTM AND ADaM: HANDS-ON SOLUTIONS CDISC French Speaking User Group Paris, France 17 February 2012 Joris De Bondt, Head Data Standards & Process Improvements Tineke Callant, Senior Biostatistical Analyst
DIaaS (Data Integration as A Service) CDISC Conversion Platform
www.hcltech.com DIaaS (Data Integration as A Service) CDISC Conversion Platform HCL DIaaS (Data Integration as A Service) - CDISC Conversion Platform Industry Perspective The majority of commercially available
Use of standards: can we really be analysis ready?
Standards in analysis & reporting Use of standards: can we really be analysis ready? Analysis ready? Why? Reducing time to market/approval Reducing time to delivery Reducing re work Designing subsequent
Overview of CDISC Implementation at PMDA. Yuki Ando Senior Scientist for Biostatistics Pharmaceuticals and Medical Devices Agency (PMDA)
Overview of CDISC Implementation at PMDA Yuki Ando Senior Scientist for Biostatistics Pharmaceuticals and Medical Devices Agency (PMDA) CDISC 2012 Outline Introduction Update of PMDA activity CDISC implementation
Lessons on the Metadata Approach. Dave Iberson- Hurst 9 th April 2014 CDISC Euro Interchange 2014
1 Lessons on the Metadata Approach Dave Iberson- Hurst 9 th April 2014 CDISC Euro Interchange 2014 2 Experience Human beings, who are almost unique in having the ability to learn from the experience of
Business & Decision Life Sciences
Business & Decision Life Sciences Define-it: Demo webinar Anne-Sophie Bekx / 20th May 2014 INSERT COMPANY LOGO IN MASTER SLIDE HERE History of Define.xml Define-it Software Demo Define-it versions Q &
The Next Generation Clinical Trial Management Platform. TranSenda is now a part of. White Paper June 2010
TranSenda is now a part of The Next Generation Clinical Trial Management Platform White Paper June 2010 Written by Robert Webber Vice-President, Clinical Trial Management Systems, BioClinica, Inc. Is Anything
CDISC standards and data management The essential elements for Advanced Review with Electronic Data
Session 6: Toward Electronic Submission of Study Data for New Drug Applications CDISC standards and data management The essential elements for Advanced Review with Electronic Data Yuki Ando Senior Scientist
PharmaSUG2010 - Paper HS01. CDASH Standards for Medical Device Trials: CRF Analysis. Parag Shiralkar eclinical Solutions, a Division of Eliassen Group
PharmaSUG2010 - Paper HS01 CDASH Standards for Medical Device Trials: CRF Analysis Parag Shiralkar eclinical Solutions, a Division of Eliassen Group Jennie Tedrow Boston Scientific Kit Howard Kestrel Consultants
PharmaSUG 2016 Paper IB10
ABSTRACT PharmaSUG 2016 Paper IB10 Moving from Data Collection to Data Visualization and Analytics: Leveraging CDISC SDTM Standards to Support Data Marts Steve Kirby, JD, MS, Chiltern, King of Prussia,
ADaM or SDTM? A Comparison of Pooling Strategies for Integrated Analyses in the Age of CDISC
Paper CD01 ADaM or SDTM? A Comparison of Pooling Strategies for Integrated Analyses in the Age of CDISC Joerg Guettner, Bayer Pharma AG, Wuppertal, Germany Alexandru Cuza, UCB Biosciences GmbH, Monheim,
Statistical Operations: The Other Half of Good Statistical Practice
Integrating science, technology and experienced implementation Statistical Operations: The Other Half of Good Statistical Practice Alan Hopkins, Ph.D. Theravance, Inc. Presented at FDA/Industry Statistics
SAS Drug Development User Connections Conference 23-24Jan08
SAS Drug Development User Connections Conference 23-24Jan08 Bernd Doetzkies David Ramage Daiichi Sankyo Pharma Development DSPD Clinical Data Repository System Business Drivers System Overview People and
Risk based monitoring using integrated clinical development platform
Risk based monitoring using integrated clinical development platform Authors Sita Rama Swamy Peddiboyina Dr. Shailesh Vijay Joshi 1 Abstract Post FDA s final guidance on Risk Based Monitoring, Industry
Sanofi-Aventis Experience Submitting SDTM & Janus Compliant Datasets* SDTM Validation Tools - Needs and Requirements
In-Depth Review of Tools to Check Compliance of CDISC - Ready Clinical s Bhavin Busa March 2 nd, 2011 Managing Clinical in the Age of CDISC BASUG Quarterly Meeting Presentation Outline Brief introduction
SDTM, ADaM and define.xml with OpenCDISC Matt Becker, PharmaNet/i3, Cary, NC
PharmaSUG 2012 - Paper HW07 SDTM, ADaM and define.xml with OpenCDISC Matt Becker, PharmaNet/i3, Cary, NC ABSTRACT Standards are an ongoing focus of the health care and life science industry. Common terms
PhUSE Annual Meeting, London 2014
PhUSE Annual Meeting, London 2014 Metadata, Study data standards, Master data, terminology, interoperability: Key concepts underlying compliance to FDA guidance on electronic submission Isabelle de Zegher,
Utilizing the SAS Business Intelligence Platform in a Clinical Trial Environment
Business Analytics Clinical Utilizing the SAS Business Intelligence Platform in a Clinical Trial Environment Brian Varney & Mindy Kiss, Experis IT Portage, Michigan An Experis IT Technical Brief Abstract
Procedures for validation and accreditation
Procedures for validation and accreditation Published by the Quality and Academic Support Office, Directorate of Students and Education Support Latest Edition (March 2002, updated August 2009 and 2013
Business & Decision Life Sciences CDISC Workshop: From SDTM to ADaM: Mapping Methodologies
Business & Decision Life Sciences CDISC Workshop: From SDTM to ADaM: Mapping Methodologies Jessica Minkue Mi Edou / 18th September 2014 From SDTM to ADaM: Mapping Methodologies CDISC and ADaM Introduc0on
Building and Customizing a CDISC Compliance and Data Quality Application Wayne Zhong, Accretion Softworks, Chester Springs, PA
WUSS2015 Paper 84 Building and Customizing a CDISC Compliance and Data Quality Application Wayne Zhong, Accretion Softworks, Chester Springs, PA ABSTRACT Creating your own SAS application to perform CDISC
The Recipe for Sarbanes-Oxley Compliance using Microsoft s SharePoint 2010 platform
The Recipe for Sarbanes-Oxley Compliance using Microsoft s SharePoint 2010 platform Technical Discussion David Churchill CEO DraftPoint Inc. The information contained in this document represents the current
NSW Government ICT Governance Framework for Whole of Government Investments
NSW Government ICT Governance Framework for Whole of Government Investments November 2014 CONTENTS 1. Introduction 1 2. Scope and application 2 3. Purpose 2 4. Outcomes 2 5. Governance framework 3 6. Governance
Implementation of SDTM in a pharma company with complete outsourcing strategy. Annamaria Muraro Helsinn Healthcare Lugano, Switzerland
Italian-Speaking CDISC User Group 2008 Implementation of SDTM in a pharma company with complete outsourcing strategy Annamaria Muraro Helsinn Healthcare Lugano, Switzerland Background Full outsourcing
Implementing CDASH Standards Into Data Collection and Database Design. Robert Stemplinger ICON Clinical Research
Implementing CDASH Standards Into Data Collection and Database Design Robert Stemplinger ICON Clinical Research 1 Agenda Reasons for Using CDASH Project Outline Implementation Discussion of Results Reasons
Web Content Management (Web CMS) for Internal or External Sites Request for Proposal (RFP) Template
Web Content Management (Web CMS) for Internal or External Sites Request for Proposal (RFP) Template Thank you for participating in this Web Content Management platform review. This RFP presents detailed
Managing and Integrating Clinical Trial Data: A Challenge for Pharma and their CRO Partners
Managing and Integrating Clinical Trial Data: A Challenge for Pharma and their CRO Partners Within the Pharmaceutical Industry, nothing is more fundamental to business success than bringing drugs and medical
Needs, Providing Solutions
Identifying Needs, Providing Solutions 1 I n d u s t r y The growth of medical research and the countless innovations coming from the pharmaceutical, biotechnology and medical device industry, has improved
PharmaSUG 2013 - Paper AD08
PharmaSUG 2013 - Paper AD08 Just Press the Button Generation of SAS Code to Create Analysis Datasets directly from an SAP Can it be Done? Endri Endri, Berlin, Germany Rowland Hale, inventiv Health Clinical,
Meta-programming in SAS Clinical Data Integration
Meta-programming in SAS Clinical Data Integration : a programmer s perspective Mark Lambrecht, PhD Phuse Single Day Event Brussels, February 23 rd 2010. Contents SAS Clinical Data Integration : an introduction
The Development of the Clinical Trial Ontology to standardize dissemination of clinical trial data. Ravi Shankar
The Development of the Clinical Trial Ontology to standardize dissemination of clinical trial data Ravi Shankar Open access to clinical trials data advances open science Broad open access to entire clinical
ABSTRACT INTRODUCTION THE MAPPING FILE GENERAL INFORMATION
An Excel Framework to Convert Clinical Data to CDISC SDTM Leveraging SAS Technology Ale Gicqueau, Clinovo, Sunnyvale, CA Marc Desgrousilliers, Clinovo, Sunnyvale, CA ABSTRACT CDISC SDTM data is the standard
Paper DM10 SAS & Clinical Data Repository Karthikeyan Chidambaram
Paper DM10 SAS & Clinical Data Repository Karthikeyan Chidambaram Cognizant Technology Solutions, Newbury Park, CA Clinical Data Repository (CDR) Drug development lifecycle consumes a lot of time, money
Data Quality in Clinical Trials: a Sponsor's view
Data Quality in Clinical Trials: a Sponsor's view Elena Carzana Data Manager Chiesi Farmaceutici Padova, 27 th September 2012 IV BIAS ANNUAL CONGRESS Data Quality in Clinical Trials Agenda Definition Impacts
An Introduction to Transparent Records Management
Records Management Focus White Paper An Introduction to Transparent Records Management Learn More Inside: Meet the needs of both records managers and general users. Easily manage multiple departments information
The Importance of Good Clinical Data Management and Statistical Programming Practices to Reproducible Research
The Importance of Good Clinical Data Management and Statistical Programming Practices to Reproducible Research Eileen C King, PhD Research Associate Professor, Biostatistics Acting Director, Data Management
Accenture Accelerated R&D Services: CDISC Conversion Service Overview
Accenture Life Sciences Rethink Reshape Restructure for better patient outcomes Accenture Accelerated R&D Services: CDISC Conversion Service Overview Using standards to drive speed to market and meet regulatory
Can I customize my identity management deployment without extensive coding and services?
SOLUTION BRIEF CONNECTOR XPRESS AND POLICY XPRESS UTILITIES IN CA IDENTITY MANAGER Can I customize my identity management deployment without extensive coding and services? SOLUTION BRIEF CA DATABASE MANAGEMENT
eclinical Services Predictable Pricing Full Service EDC Phase I-IV Sophisticated Edit Checks Drug Supply Chain Forms Library Data Collection Services
eclinical Services Predictable Pricing Full Service EDC Phase I-IV Sophisticated Edit Checks Data Collection Services Drug Supply Chain Forms Library Real-time Data Access Clinical Data Management Electronic
USE CDISC SDTM AS A DATA MIDDLE-TIER TO STREAMLINE YOUR SAS INFRASTRUCTURE
USE CDISC SDTM AS A DATA MIDDLE-TIER TO STREAMLINE YOUR SAS INFRASTRUCTURE Kalyani Chilukuri, Clinovo, Sunnyvale CA WUSS 2011 Annual Conference October 2011 TABLE OF CONTENTS 1. ABSTRACT... 3 2. INTRODUCTION...
Procedures for Submission and Examination of Doctoral Degrees in University College Cork. October 2014
Procedures for Submission and Examination of Doctoral Degrees in University College Cork October 2014 1 Contents: 1. Introduction 3 2. Preparing Doctoral Theses 3 3. Submission Procedure 5 4. The Examination
Guidance for Outline Stage BMC: DPFS Applicants
Guidance for Outline Stage BMC: DPFS Applicants Contents Page Oversight and Reporting... 2 Project Management... 2 Intellectual Property Management and Exploitation... 2 How to apply... 3 Outline Applications...
PharmaSUG2010 HW06. Insights into ADaM. Matthew Becker, PharmaNet, Cary, NC, United States
PharmaSUG2010 HW06 Insights into ADaM Matthew Becker, PharmaNet, Cary, NC, United States ABSTRACT ADaM (Analysis Dataset Model) is meant to describe the data attributes such as structure, content, and
CDISC Roadmap Outline: Further development and convergence of SDTM, ODM & Co
CDISC Roadmap Outline: Further development and convergence of SDTM, ODM & Co CDISC Ausblick: Weitere Entwicklung und Konvergenz der CDISC-Standards SDTM, ODM & Co. Jozef Aerts - XML4Pharma Disclaimer Views
SDTM-ETL TM. The user-friendly ODM SDTM Mapping software package. Transforming operational clinical data into SDTM datasets is not an easy process.
SDTM-ETL TM The user-friendly ODM SDTM Mapping software package Transforming operational clinical data into SDTM datasets is not an easy process. Therefore, XML4Pharma has developed a visual, easy-to-use
Training/Internship Brochure Advanced Clinical SAS Programming Full Time 6 months Program
Training/Internship Brochure Advanced Clinical SAS Programming Full Time 6 months Program Domain Clinical Data Sciences Private Limited 8-2-611/1/2, Road No 11, Banjara Hills, Hyderabad Andhra Pradesh
KCR Data Management: Designed for Full Data Transparency
KCR Data Management: Designed for Full Data Transparency 6% Observational 4% Phase IV 2% Device 11% Phase I 28% Phase II 49% Phase III The quality of study data relies first and foremost on the quality
Copyright 2012, SAS Institute Inc. All rights reserved. VISUALIZATION OF STANDARD TLFS FOR CLINICAL TRIAL DATA ANALYSIS
VISUALIZATION OF STANDARD TLFS FOR CLINICAL TRIAL DATA ANALYSIS WENJUN BAO AND JASON CHEN JMP, SAS INC. PHUSE, SHANGHAI, NOV 28, 2014 OUTLINES: CDISC Standard SDTM ADaM Interactive Standardized TLFs Tables
CDISC and Clinical Research Standards in the LHS
CDISC and Clinical Research Standards in the LHS Learning Health System in Europe 24 September 2015, Brussels Rebecca D. Kush, PhD, President and CEO, CDISC CDISC 2015 1 CDISC Healthcare Link Goal: Optimize
Table of contents. Best practices in open source governance. Managing the selection and proliferation of open source software across your enterprise
Best practices in open source governance Managing the selection and proliferation of open source software across your enterprise Table of contents The importance of open source governance... 2 Executive
Streamlining the Flow of Clinical Trial Data: EHR to EDC to Sponsor
Streamlining the Flow of Clinical Trial : EHR to EDC to Sponsor Landen Bain Liaison to Healthcare CDISC Interchange Standards Consortium) Jane Griffin, RPh Director, Pharmaceutical Research Cerner Corporation
SHAREPOINT SERVICE DEFINITION. G-CLOUD Commercial-in-Confidence. civil.lockheedmartin.co.uk
SHAREPOINT SERVICE DEFINITION G-CLOUD Commercial-in-Confidence civil.lockheedmartin.co.uk SECTION 1 LOCKHEED MARTIN S SHAREPOINT CAPABILITY Lockheed Martin offers a full end to end service, delivering
Automate Data Integration Processes for Pharmaceutical Data Warehouse
Paper AD01 Automate Data Integration Processes for Pharmaceutical Data Warehouse Sandy Lei, Johnson & Johnson Pharmaceutical Research and Development, L.L.C, Titusville, NJ Kwang-Shi Shu, Johnson & Johnson
Use of Metadata to Automate Data Flow and Reporting. Gregory Steffens Novartis PhUSE 13 June 2012
Use of Metadata to Automate Data Flow and Reporting Gregory Steffens Novartis PhUSE 13 June 2012 Stages of Metadata Evolution I In the beginning... No corporate or industry level data or reporting standards
CDISC SDTM & Standard Reporting. One System
CDISC SDTM & Standard Reporting One System 1 Authors/Contributors Merck & Co., Inc. Ram Radhakrishnan, Manager, Statistical Information Systems Thomas W. Dobbins, Ph.D., Executive Director, Biostatistics
Case Management Implementation Guide
Case Management Implementation Guide Salesforce, Summer 15 @salesforcedocs Last updated: June 30, 2015 Copyright 2000 2015 salesforce.com, inc. All rights reserved. Salesforce is a registered trademark
IndustryPrint: Business Process Analysis for Everyone!
IndustryPrint: Business Process Analysis for Everyone! Deloitte Consulting LLP - October 16, 2012 Chris Ottesen Specialist Leader Marc Redemann Specialist Leader Introduction: Your presenters today October
Monitoring Clinical Trials with a SAS Risk-Based Approach
Paper DH05 Monitoring Clinical Trials with a SAS Risk-Based Approach Laurie Rose, SAS, Cary, NC USA ABSTRACT With global regulatory encouragement, the life sciences industry is gaining momentum to embrace
How to easily convert clinical data to CDISC SDTM
How to easily convert clinical data to CDISC SDTM Ale Gicqueau, Clinovo, Sunnyvale, CA Miki Huang, Clinovo, Sunnyvale, CA Stephen Chan, Clinovo, Sunnyvale, CA INTRODUCTION Sponsors are receiving clinical
WHITE PAPER. CONVERTING SDTM DATA TO ADaM DATA AND CREATING SUBMISSION READY SAFETY TABLES AND LISTINGS. SUCCESSFUL TRIALS THROUGH PROVEN SOLUTIONS
WHITE PAPER CONVERTING SDTM DATA TO ADaM DATA AND CREATING SUBMISSION READY SAFETY TABLES AND LISTINGS. An innovative approach to deliver statistical analysis and data in a CDISC ADaM complient manner
The ADaM Solutions to Non-endpoints Analyses
The ADaM Solutions to Non-endpoints Analyses ABSTRACT Chengxin Li, Boehringer Ingelheim Pharmaceuticals Inc., Ridgefield, CT, USA There always exist some analyses for non endpoints in the study. These
Implementation and Operation of CDISC ODM-based EDC by UMIN
Implementation and Operation of CDISC ODM-based EDC by UMIN Takahiro Kiuchi, M.D., Ph.D. UMIN Center, The University of Tokyo Hospital, Tokyo, Japan 1 Content 1. CDISC standards and academic research 2.
GUIDELINES ON MEDICAL DEVICES EVALUATION OF CLINICAL DATA : A GUIDE FOR MANUFACTURERS AND NOTIFIED BODIES
EUROPEAN COMMISSION ENTERPRISE DIRECTORATE-GENERAL Single Market : regulatory environment, standardisation and New Approach Pressure equipment, medical devices, metrology MEDDEV. 2.7.1 April 2003 GUIDELINES
Building a Data Quality Scorecard for Operational Data Governance
Building a Data Quality Scorecard for Operational Data Governance A White Paper by David Loshin WHITE PAPER Table of Contents Introduction.... 1 Establishing Business Objectives.... 1 Business Drivers...
DFID Research Open and Enhanced Access Policy: Implementation guide
DFID Research Open and Enhanced Access Policy: Implementation guide V1.1: January 2013 This guide provides information to help researchers and project managers fulfil the requirements and meet the objectives
The Evolution of Data Management Job Models. in the Execution of Clinical Trials. [email protected]. www.kcrcro.com
The Evolution of Data Management Job Models in the Execution of Clinical Trials [email protected] KCR S.A. Corporate Headquarters 6 Postepu str., 02-676 Warsaw Phone: +48 22 313 13 13 Fax: +48 22 313 13 14
Practitioner Certificate Software Asset Management Syllabus. Version 2.0
Practitioner Certificate Software Asset Management Syllabus Version 2.0 June 2010 Practitioner Certificate in Software Asset Management The ISEB Practitioner Certificate in Software Asset Management (SAM)
Business Architecture A Balance of Approaches to Implementation. Business Architecture Innovation Summit June 2013 Presenter: Andrew Sommers
Business Architecture A Balance of Approaches to Implementation Business Architecture Innovation Summit June 2013 Presenter: Andrew Sommers Implementing Business Architecture at Capital Group Positioning
Gregory S. Nelson ThotWave Technologies, Cary, North Carolina
Using SAS 9 in Clinical Research Gregory S. Nelson ThotWave Technologies, Cary, North Carolina Abstract For 30 years SAS has been used in pharmaceutical research settings for data management, analytics
Change Management Process
Spatial Data Standards for Facilities, Infrastructure, and Environment (SDSFIE) Change Management Process Version 1.0 9 June, 2011 Office of the Deputy Under Secretary of Defense (Installations & Environment),
About NISCAIR. HRD Programmes
About NISCAIR National Institute of Science Communication and Information Resources (NISCAIR) came into existence on 30 September 2002 with the merger of National Institute of Science Communication (NISCOM)
Achieve greater efficiency in asset management by managing all your asset types on a single platform.
Asset solutions To support your business objectives Achieve greater efficiency in asset by managing all your asset types on a single platform. When you use Maximo Asset Management to help maximize the
Clinical Data Management Overview
The 2 nd Clinical Data Management Training Clinical Data Management Overview Andrew Taylor ( 安 泰 乐 ), M.S. Head of Clinical Data Management August 30, 2010 Learning Objectives Overview of Process Related
Bringing Order to Your Clinical Data Making it Manageable and Meaningful
CLINICAL DATA MANAGEMENT Bringing Order to Your Clinical Data Making it Manageable and Meaningful eclinicalsol.com DATA IS SIMPLY BEAUTIFUL DATA STACKS IN STANDARD FORMATION This imaginative visual suggests
End-to-End E-Clinical Coverage with Oracle Health Sciences InForm GTM
End-to-End E-Clinical Coverage with InForm GTM A Complete Solution for Global Clinical Trials The broad market acceptance of electronic data capture (EDC) technology, coupled with an industry moving toward
BRIDGing CDASH to SAS: How Harmonizing Clinical Trial and Healthcare Standards May Impact SAS Users Clinton W. Brownley, Cupertino, CA
BRIDGing CDASH to SAS: How Harmonizing Clinical Trial and Healthcare Standards May Impact SAS Users Clinton W. Brownley, Cupertino, CA ABSTRACT The Clinical Data Interchange Standards Consortium (CDISC),
Audit & Inspection Management. Enterprise Cloud Audit & Inspection Management Solution
Enterprise Cloud Solution is an end-to-end solution for the planning, execution and reporting of corporate external and internal audit and inspections across enterprise risk, safety, security and sustainability.
Analysis Data Model (ADaM)
Analysis Data Model (ADaM) Prepared by the CDISC Analysis Data Model Team Notes to Readers This is Version 2.1 of the Analysis Data Model (ADaM) Document. It includes modifications so that it corresponds
Understanding CDISC Basics
Trends in Bio/Pharmaceutical Industry Understanding CDISC Basics Jane Ma Abstract Data standards can make data and its associated program more portable. The CDISC (Clinical Data Interchange Standards Consortium)
Clinical Trial Transparency. What is available?
Clinical Trial Transparency What is available? 1 Outline Clinical Trial Data Collection and Reporting Data Definitions Clinical Trial Transparency Summary Report Requirements Example of Results Posting
DATA STANDARDS POLICY
EPA Classification No: CIO 2133.0 (formerly 2128.0) CIO Approval Date: 06/28/07 Issued by the EPA Chief Information Officer, Pursuant to Delegation 1-19, dated 07/07/2005 DATA STANDARDS POLICY 1. PURPOSE
Transforming CliniCal Trials: The ability to aggregate and Visualize Data Efficiently to make impactful Decisions
: The ability to aggregate and Visualize Data Efficiently to make impactful Decisions www.eclinicalsol.com White Paper Table of Contents Maximizing Your EDC Investment... 3 Emerging Trends in Data Collection...
Data Standards Strategy. Version: 1.0
Data Standards Strategy Version: 1.0 Document Date: December 5, 2012 Version Number REVISION HISTORY Implemented By Revision Date Description of Change 1.0 CDER DSPB December 5, 2012 Initial Document The
We set things in motion and keep them moving. Metronomia Clinical Research Services
We set things in motion and keep them moving Metronomia Clinical Research Services Our customers love the fact that we keep up with their individual tempos. Dorothea Wessiepe, Director Biostatistics Metronomia:
PharmaSUG2010 - Paper CD13
PharmaSUG2010 - Paper CD13 In-Depth Review of Validation Tools to Check Compliance of CDISC SDTM-Ready Clinical Datasets Bhavin Busa, Cubist Pharmaceuticals, Inc., Lexington, MA Kim Lindfield, Cubist Pharmaceuticals,
Course Code NCS2013: SharePoint 2013 No-code Solutions for Office 365 and On-premises
4 DAYS SHAREPOINT FOR THE POWER USER AND SOLUTIONS BUILDER Course Code NCS: SharePoint No-code Solutions for Office 365 and On-premises AUDIENCE FORMAT COURSE DESCRIPTION Power Users Instructor led training
SOA and API Management
SOA and API Management Leveraging Your Investment in Service Orientation Version 1.0 December 2013 John Falkl General Manager, Technology, Strategy & Integration Haddon Hill Group, Inc. Contents Introduction...
The State of Oregon. Department of Procurement Services Issues the Following
The State of Oregon Department of Procurement Services Issues the Following Request for Information (RFI) # DASPS-2346-15 For The Oregon Enterprise-wide Human Resource Information System Project Single
Information Technology Governance Overview and Charter
Information Technology Governance Overview and Charter Prepared by: Project #: Date submitted Document version: IT Governance Charter v03.05.2012 1.0 48.0 - Page 1 of 34 Document History Version Date Author
