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data integrity

149 papers and 16 presentations; 148 titles.

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Conference × Year × Title × Authors Extras Pages
WUSS 2026 Data Step Your Workflow and Macro Your Way to Automation: Importing Thousands of Excel Reports That Aren't Datasets Richard Rivera,
Humberto Cisneros		 source 16
PharmaSUG 2026 Boston Breakthroughs: A Dashboard-Driven Approach to Metadata and Audit Trails with SAS Clinical Acceleration Frances Gillespie,
Laura Watson		 source 9
PharmaSUG 2026 Bridging the Gap A Python-Word Integration for Detecting Ghost Page Breaks in SAS-Generated RTFs Jun Yang,
Robert T. Stemplinger		 source 8
PharmaSUG 2026 Effective Collaboration Between Business, Technical and Quality Units in Building GCP Systems Ravi Tejeshwar Reddy Gaddameedi,
Tarek Ahammad,
Elizabeth Arnold		 source 6
PHUSE US 2026 A Skeptics Guide to Using AI for Programming Franklin E. Menius source
presentation source		 13
PHUSE US 2026 Acquiring a Compound with Multiple Clinical Trials? Let's Get Ready for a Type C Meeting! Key Considerations for Preparing Its Regulatory Submission Mathura P. Ramanathan,
Kajal Tahiliani		 source
presentation source		 12
PHUSE US 2026 Challenges and Solutions for Generating Synthetic CDISC Data Sundaresh Sankaran,
Catherine Briggs		 source
presentation source		 6
PHUSE US 2026 Development Process of the Bioresearch Monitoring (BIMO) Package and the Obstacles Successfully Addressed [presentation] Sarad Nepal,
Murali Neela		 source 19
PHUSE US 2026 Ensuring Reliability of Medical Devices Through Statistical Oversight in the Age of AI Parvee Kumar,
Shrutimita Pokhariyal		 source
presentation source		 11
PHUSE US 2026 Orchestrating Multi-Agent Workflows for Complex Trial Data Integration Rajesh Hagalwadi source 8
PHUSE US 2026 Performance-Driven Risk Oversight for AI Agents in Clinical Research Laxmiraju Kandikatla source
presentation source		 10
PHUSE US 2026 Problem-First Agentic AI: Transforming Statistical Computing with Purposeful Automation Rajesh Hagalwadi source
presentation source		 8
PHUSE US 2026 Thriving in Change: Building People, Process and Technology Capabilities in Statistical Programming Ajay Aiyer source
presentation source		 5
PHUSE US 2026 Validating AI in GxP: Test Harnesses, Guardrails and Compliance Controls Bill Qubeck source
presentation source		 14
PHUSE US 2026 Validation Strategies for Agentic AI Platforms in GxP-Regulated Clinical Data Environments Rajesh Hagalwadi source
presentation source		 9
PHUSE APAC 2026 End-to-End Continuous Integration and Deployment Pipeline for Multi Language Analytics Applications: A Clinical Data Management Case Study Avinash Patnaik,
Varun Sethuraman		 source
presentation source		 7
PHUSE APAC 2026 From Information to Insights: Harnessing Centralized Monitoring in RBQM to proactively identify and mitigate risks in Clinical Trials Bismita Borkakoty,
Priyangshu Chowdhury		 source
presentation source		 12
PHUSE APAC 2026 Intelligent Integration: Enabling Collaborative Clinical Insights with an SCE and R Shivoy Pandita source
presentation source		 2
PHUSE APAC 2026 Streamlining SEND Dataset Generation: Enhancing Efficiency and Quality with Shiny Dashboards Madhulika Mishra,
Michael Denieu		 source
presentation source		 10
PHUSE APAC 2026 Unlock Deeper Clinical Insights: A Unified Approach to Data Analysis with SAS, R, and Python Pavan Kallurkar source
presentation source		 7
PHUSE EU 2025 A Splash in Time Insights into a Data Pooling Time Machine Lutz Hoffmann,
Dana Vinzelberg		 source
presentation source		 7
PHUSE EU 2025 Bridging Languages: Building Integrated Analytical Tools with SAS, R, and Python for Clinical Data Margarethe Povey source
presentation source		 7
PHUSE EU 2025 Human in the Middle: Accelerating with AI, Anchored in Quality Melanie Hullings,
Christopher H. White		 source
presentation source		 6
PHUSE EU 2025 JSON for Submissions: Why You Should Care, What You Need To Know, and What To Do Now Bill Qubeck,
Sridhar Vijendra		 source
presentation source		 13
PHUSE EU 2025 Reproducibility, Lineage and Control: Building a Traceability Framework for the Modern Clinical Trial Bill Qubeck,
Shilpa Sood		 source
poster source		 6
PHUSE EU 2025 Turning Data into Deliverables: Automating Biometrics from Metadata to TFLs Inderjeet Arora source
presentation source		 9
PharmaSUG 2025 AI is coming for you: New Biometric Leadership in the era of Gen AI Kevin Lee source 7
PharmaSUG 2025 Building Resilient Teams Patrick Grimes,
Sajin Johnny		 source 15
PharmaSUG 2025 Handling Health Regulatory Information Requests: Best Practices and Strategies Himanshu Patel,
Chintan Pandya		 source 11
PharmaSUG 2025 In-house Data Monitoring Committee Report Programming Lingjiao Qi,
Amanda Plaisted,
Sreedhar Bodepudi		 source 7
PharmaSUG 2025 Navigating the transition of legacy processes for SDTM creation Jyothi Ketavarapu source 5
PharmaSUG 2025 Transitioning External Clinical Studies to Internal: A Framework for Knowledge Transfer and Operational Excellence Chunqiu Xia,
Hong (Lily) Zhang,
Xiaohui Wang		 source 6
PHUSE US 2025 A Journey Through an Innovative Approach to Migration of Legacy System to New Multilingual Statistical Computing Environment (SCE) Kajal Tahiliani source
presentation source		 9
PHUSE US 2025 Data Quality in Pooled Studies: Overcoming Challenges and Ensuring Accuracy Monika Ludwinska source
presentation source		 11
PHUSE US 2025 Enhancing Clinical Trial Data Queries with LLMs and Neo4j: A Flexible Framework for ADaM Dataset Management Jaime Yan source
presentation source		 28
PHUSE US 2025 Enhancing Data Science with Multilingual Capabilities: A Comprehensive GxP-Compliant Solution Eli Miller,
Casey Higgins		 source
presentation source		 3
PHUSE US 2025 Ensuring Data Integrity: A Three Step Approach to Clinical Dashboard Validation River Meckstroth source
presentation source		 7
PHUSE US 2025 eProtocol and the Promise of Automation Bill Qubeck,
Suhas Giriraj		 source
presentation source		 17
PHUSE US 2025 How Unique is it for the Subject Identifier in a Study To Have Multiple Screenings and Enrolments? Anahita Vyas,
Rama Kudaravalli		 source
presentation source		 8
PHUSE US 2025 Innovative Data Cleaning to Prevent Unblinding Errors in Double-Blind Trials Ling Zhang,
Nan Zhou		 source
presentation source		 4
PHUSE US 2025 Innovative Storage of SDTM Mappings as JSON: Boosting Efficiency and Data Consistency Rohan Parmar,
Edgar Manukyan		 source
presentation source		 5
PHUSE US 2025 Introducing TFL Viewer: A Centralised Platform for TFL Review, Collaboration and Approval Bhavin Busa source
presentation source		 5
PHUSE US 2025 Key Metrics for Success: Measuring Project Performance and Impact in the Face of Complex Clinical Trials Kavya Yachamaneni,
Hayley MacKenzie		 source
presentation source		 9
PHUSE US 2025 Navigating the Transition to a New Statistical Computing Environment: Streamlining Compliance and Operational Excellence Shilpa Sood,
Kala Shivalingaiah		 source
poster source		 11
PHUSE US 2025 Staying Out of the Ditch - How Governance Can Provide Your Team Guardrails Matt Tendler,
Chris McSpiritt		 source
presentation source		 5
PHUSE US 2025 Verifiable Compute to Trust AI in Regulated Workflows Alistair Dootson,
Jonathan Dotan		 source
presentation source		 5
PHUSE US 2025 Wearable Technology: Enhancing Patient Monitoring and Real-World Evidence Bill Qubeck,
Sridhar Vijendra		 source
presentation source		 15
PHUSE EU 2024 Analytical Risk-Based Monitoring (ARBM): From Targeted to Zero Source Data Verification (SDV) - Are Teams Ready for the Revolution? Plamena Kostadinova source
presentation source		 5
PHUSE EU 2024 Artificial Intelligence Potential Use Cases in Clinical Data Engineering Deepak Pakalapati,
Mounika Pillamarapu		 source
presentation source		 8
PHUSE EU 2024 SCE Alchemy: The Return of the QC Process, and Rise of Training via LLM Steve Griffiths,
Eleanor Sparling		 source
presentation source		 6
PHUSE EU 2024 The Open SCE: A Call to Action One Year Later Caroline Phares,
Pascal Bouquet		 source
presentation source		 6
PHUSE EU 2024 Where Does Your SCE Fit in Your Data Strategy? Phil Loucks source
presentation source		 7
WUSS 2024 Training Domain Specific AI for Clinical Data: Developing an AI Agent to Transform EDC Data to CDISC SDTM and then to ADaM Standards Sy J. Truong source 12
PharmaSUG 2024 Advancing the Maturation of Standardized CRF Design Sugumaran Muthuraj,
Rubha Raghu		 source 9
PharmaSUG 2024 Assurance in the Digital Age: Automating MD5 Verification for uploading data into a Cloud based Clinical Repository Laura Elliott,
Ben E. Bocchicchio		 source 6
PharmaSUG 2024 Protocol Amendments and EDC Updates: Downstream impact on Clinical Trial Data Anbu Damodaran,
Ram Gudavalli,
Kumar Bhimavarapu		 source 11
PHUSE US 2024 An Agile Way of Working with Azure DevOps in Clinical Trials Rambabu Sura source
presentation source		 10
PHUSE US 2024 Data Pipeline - Improving Cycle Time and Shifting Data Closer to Analytics Jayasree Ivaturi source
presentation source		 6
PHUSE US 2024 Front-Loading Statistical Programming Using Automated Synthetic Data Faezeh Moshfeghifar,
Hemanth Padmakar		 source
presentation source		 5
PHUSE US 2024 Validation Unveiled: Striking the Balance for Data Integrity and Compliance in R, Python, and SAS Sy J. Truong source
presentation source		 10
PHUSE EU 2023 Look to the Sky: Introducing COMET - the COncomitant MEdication review Tool Neville Cope source
presentation source		 7
PHUSE EU 2023 Statistical Programming 101 for the Fourth Industrial Revolution Ritika Aggarwal source
presentation source		 10
PHUSE US 2023 Decentralized Clinical Data Management (D-CDM): An Innovative 3-Way Approach (Risk-Data-Analytics) to Protect Data Integrity [presentation] Nithiyanandhan Ananthakrishnan,
Mukesh Babu K		 source 13
PHUSE US 2023 Journey of SCE Implementation [poster] Timothy D. Kelly,
Kala Shivali		 source 1
PHUSE EU 2022 How Can We Integrate New Technology and Maintain Data Integrity? Shafi Chowdhury source
presentation source		 4
PHUSE EU 2022 Migrating a Large User Base from Multiple Legacy Systems to entimICE-AZ: Issues and Lessons Learned Panteleo Nacci source
presentation source		 5
PharmaSUG 2022 Ensuring Distributed Data Custody on Cloud Platforms Ben E. Bocchicchio,
Sandeep Juneja		 source 26
PHUSE US 2022 A Day on the Fast Track: How a Statistical Computing Environment Helps to Streamline Programming [presentation] Jörn Bilow source
video		 14
PHUSE US 2022 R Got This! Delivering a Complete Statistical Package Using R [presentation] Alice Ehmann,
Michael S Rimler		 source
video		 10
PHUSE US 2022 RBM - The New Normal Vigilante for CROs With AI and ML [presentation] Vidya Muthukumar source 18
PHUSE US 2022 Transformation from Prescriptive Clinical Data Analyses to Dynamic Data-driven Analytics through the Adoption of Modularized Cloud Components [presentation] Andy Ratcliffe,
Chris Decker		 source 35
PHUSE EU 2021 Software Demonstration: Aspire "Out of this World" Demo - Sponsored by d-wise [presentation] Andy Ratcliffe source 44
PHUSE EU 2021 Software Demonstration: Freedom or Regulatory Compliance? Have Both, in a Language-agnostic Statistical Computing Environment - Sponsored by Entimo [presentation] Jörn Bilow source 14
PHUSE US 2021 Solution When a Global Pandemic Resurrects Paper-based PROs, Creating Collection Headaches for Data Managers Hayley Jeffery,
Terek J. Peterson		 source
video
presentation source		 6
PharmaSUG 2021 Solution when Global Pandemic resurrects paper-based PROs creating collection headaches for Data Managers Terek J. Peterson,
Hayley Jeffery,
Justin Jaeschke		 source 6
PHUSE EU 2020 A Programmer's Journey Through an Early Oncology Adaptive Platform Trial [presentation] Rafi Rahi source
video		 20
PHUSE EU 2020 Let's Include Every Data Point: Overview of Analytical Risk-based Monitoring with Spotfire Visualisations [presentation] Raju Tadala source
video		 17
PHUSE EU 2020 Principles and Governance Towards the Ethical Use of Data and AI in the Pharmaceutical Industry [presentation] Margi Sheth source
video		 17
PHUSE US 2020 Regulatory Scrutiny on Data Integrity: Are You Safe? Chris Decker,
John Horton		 source
presentation source		 11
PHUSE EU 2019 ICH E6 R2: How Statistics Drive Improvement in Data Quality Erik Doffagne source
presentation source		 4
PharmaSUG 2019 A Macro to Expand Encrypted Zip Files on the SAS LSAF Environment Steven Hege source 10
PHUSE EU 2018 Status on Adoption of Cloud Technology in the Life Sciences Industry [presentation] Anders Vidstrup source 14
WUSS 2018 PROC DATASETS: The Swiss Army Knife of SAS Procedures Michael A. Raithel source 25
PHUSE US 2018 Assuring Data Integrity and Data Quality in Sponsor Submissions Paul Schuette source
presentation source		 5
SGF 2017 PROC DATASETS: The Swiss Army Knife of SAS Procedures Michael A. Raithel source 25
SESUG 2016 PROC DATASETS: The Swiss Army Knife of SAS Procedures Michael A. Raithel source 25
PHUSE EU 2016 An Update from the PHUSE Working Group on Cloud Adoption in the Regulated Life Sciences Industry Tony Hewer source
presentation source		 33
PHUSE EU 2016 Good Programming Practice and its Importance in Metadata Jennifer Chin,
Mark Foxwell		 source 6
SGF 2016 PROC DATASETS: The Swiss Army Knife of SAS Procedures Michael A. Raithel source 25
PHUSE EU 2014 Analysis of Self-Reported Health Outcomes Data from Web-Based Media Sources Mark Wolff,
Kenneth Lopiano		 source
presentation source		 2
PHUSE EU 2014 Risk based monitoring using integrated clinical development platform Authors Sita Rama Swamy Peddiboyina,
Shailesh Vijay Joshi		 source
presentation source		 9
MWSUG 2014 SAS and Relational Databases: What You Should Know Before You Code Patricia Hettinger 15
WUSS 2014 You Say 'Day-ta', I Say 'Dat-a' - Processing Your DATA Efficiently and Ensuring Its Integrity Mary Federico Katz,
Jason R. Beene		 source 12
SGF 2014 Nitty Gritty Data Set Attributes Diane Olson source 11
PHUSE EU 2013 Standards for the Management of Clinical Trial Data, Why are they Needed, What is Needed? Isabelle Abousahl source
presentation source		 11
SGF 2013 PROC DATASETS: The Swiss Army Knife of SAS Procedures Michael A. Raithel source 25
PHUSE EU 2012 Deep Dive into ODM Validation Ronald Steinhau source
presentation source		 3
PharmaSUG 2012 Checksum Please: A Way to Ensure Data Integrity Carey G. Smoak,
Mario Widel,
Sy J. Truong		 source 7
PharmaSUG 2012 Scrambling of Un-Blinded Data without 'Scrambling Data Integrity'! Jaya Baviskar source 8
SGF 2011 PROC COPY and PROC APPEND: A Developer's Secrets Diane Olson source 6
SGF 2011 PROC DATASETS: The Swiss Army Knife of SAS Procedures Michael A. Raithel source 25
SCSUG 2010 PROC DATASETS: The Swiss Army Knife of SAS Procedures Michael A. Raithel source 25
SCSUG 2010 SAS and Relational Databases: What You Must Know Patricia Hettinger source 18
WUSS 2010 Check and Document Data Integrity with PROC DATASETS Patrick Thornton source 10
WUSS 2010 PROC DATASETS: The Swiss Army Knife of SAS Procedures Michael A. Raithel source 25
MWSUG 2010 The Applied Use of Population Stability Index (PSI) in SAS Enterprise Miner Rex Pruitt 14
SESUG 2010 SAS and Relational Databases: What You Must Know Patricia Hettinger source 12
SGF 2010 Executive Dashboard: A Driver for Institutional Change and a Means to Broaden Understanding Said Reda source 11
SGF 2010 PROC DATASETS: The Swiss Army Knife of SAS Procedures Michael A. Raithel source 25
SGF 2010 The Applied Use of Population Stability Index in SAS Enterprise Miner Rex Pruitt source 15
SGF 2009 Using SAS OLAP Server for a ROLAP Scenario John Graas,
Brian Mitchell,
Tatyana Petrova,
Mary Simmons,
Michelle Wilkie		 source 20
PNWSUG 2008 New in SAS 9.2: It's the Little Things that Count Diane Olson 7
SGF 2008 New in SAS 9.2: It's the Little Things that Count Diane Olson source 7
SUGI 2006 A Strategy for Managing Data Integrity Using SAS Brett J. Peterson source 9
PHUSE EU 2005 Using VBA and BASE SAS to Get Data from SAS to Excel Without Data Integrity Issues Timothy Adlington source 1
SCSUG 2004 PROC MIGRATE: How to Migrate Your Data and Know You've Done It Right! Diane Olson,
David Wiehle		 17
WUSS 2004 Next Generation Data Warehousing with SAS 9 Gary Mehler source 10
PharmaSUG 2004 PROC MIGRATE: How to Migrate Your Data and Know You've Done It Right! Diane Olson,
David Wiehle		 14
PharmaSUG 2004 Why SAS is the Best Place to Put Your Clinical Data Steven A. Wilson 12
SUGI 2004 Next Generation Data Warehousing with SAS 9 Gary Mehler source 11
SUGI 2004 Why SAS is the Best Place to Put Your Clinical Data Steven A. Wilson source 13
WUSS 2003 Getting Familiar with SAS Version 8.2 and 9.0 Enhancements Sunil Kumar Gupta source 9
WUSS 2003 Why SAS is the Best Place to Put Your Clinical Data Steven A. Wilson source 10
SCSUG 2003 Getting Familiar with SAS Version 8.2 and 9.0 Enhancements Sunil Kumar Gupta 9
SESUG 2003 PROC MIGRATE: How to Migrate Your Data and Know You've Done It Right! Diane Olson,
David Wiehle		 source 11
NESUG 2003 Get in Control! - Configuration Management for SAS Projects John A. Quarantillo 7
SEUGI 2003 Intelligent Storage [presentation] Ingo Brenckmann source 19
PharmaSUG 2003 Why SAS is the Best Place to Put Your Clinical Data Steven A. Wilson 10
SUGI 2003 PROC MIGRATE: How to Migrate Your Data and Know You've Done It Right! Diane Olson,
David Wiehle		 source 9
SUGI 2003 Why SAS is the Best Place to Put Your Clinical Data Steven A. Wilson source 6
MWSUG 2002 Wireless SAS Apllications for iPAQ% using SAS/IntrNet% David W. Yeung,
Thomas H. Burger,
Glen J. Dalrymple		 5
SESUG 2001 V6 to V8 Applications: To Web or Not To Web? Sharon Muha source 4
SESUG 2000 Integrity Constraints and Audit Trails Working Together Gary S. Franklin source 6
SEUGI 2000 Data Warehouse exploitation by world wide Internet concurrent users Instituto Cervantes 1999 - 2000 [presentation] Joaquin Soler source 36
SEUGI 2000 Nissan European Aftersales: The Move from Legacy System to Data Warehouse [presentation] Jonathan Davies source 35
PharmaSUG 2000 Integrity Constraints and Audit Trails Working Together Gary S. Franklin 6
SUGI 2000 Integrity Constraints and Audit Trails Working Together Gary S. Franklin,
Art Jensen		 source 6
SUGI 1999 Relational Database Schemes and SAS Software SQL Solutions Sigurd W. Hermansen source 9
SUGI 1999 SAS RDBMS!A GUI Approach to Data Entry Using SAS/AF Software Enforced with Relational Model Integrity Constraints from ORACLE Annie S. Guo source 6
SUGI 1999 The SAS Data Warehouse and Data Integration in SASOL Synthetic Fuels Pieter J. Venter source 3
SEUGI 1998 Are you thinking about investing in SAS/Warehouse Adminstrator software? David Price,
Tina Hunt		 source 10
SUGI 1998 Rapid Application Development of a Decision Support System Using Object Oriented Programming Amy Roehrig source 6
SUGI 1997 Successful Business Intelligence Systems: Improving Information Quality with the SAS System W. Droogendyk,
L. M. Harschnitz		 source 6
MWSUG 1995 A New Approach to Outer Joins with More than Two Tables Howard Levine 10
MWSUG 1995 Development Facilities and Tools for SAS Applications Philip H. Van Dusen 10
NESUG 1995 SAS FSP in the Small SAS-only Shop Developing a Training Information System with Minimal Resources Floyd Schwartz 6
WUSS 1995 Development Facilities and Tools for SAS Applications Philip H. Van Dusen source 10
SUGI 1995 A New Approach to Outer Joins with More than Two Tables Howard Levine source 10
SUGI 1995 Development Facilities and Tools for SAS Applications Philip H. Van Dusen source 10
SUGI 1994 Business Decisions in Selecting Platforms for Information Systems Daniel J. Squillace,
Gary Burchett,
Tom Cole,
James C. Weathers Ili		 source 4
SUGI 1994 Code-Free Data Validation and Verification Samuel Berestizhevsky,
Tanya Kolosova		 source 4
NESUG 1993 Using SAS Macros to Generate Patient-Oriented Edit Listing from an Ingres Clinical Trials Database Varghese N. Kariakose,
James T. Crowe Jr.		 9
MWSUG 1993 Data Integrity Validation - Proactive vs. Reactive Douglas P. DeYoung 6
MWSUG 1993 Relational Processing of Tape Databases Howard Levine 9
SUGI 1993 Relational Processing of Tape Databases Howard Levine source 9
SESUG 1993 How to Build an Executive Information System (EIS) Alberto Cordoba 4
SEUGI 1992 Development of a SAS/DB2 Business Application Paul Soormans,
W. Peters		 source 13
SEUGI 1992 Support for Sales Figures Analysis with VIPAS at Deutsche Bank Life Insurance Berthold Kerl,
Wolfgang Scholz		 source 11
SUGI 1992 Experiences Using SAS/ACCESS Software in a Complex Relational Database Application Murty Arisetty source 9
SUGI 1992 Using Features of the SAS System, Release 6.06, to Enhance Data Entry Applications Sharon S. Trevoy source 4
NESUG 1991 Screen Control Language: Running Behind the Scenes Daryl R. Hoffman 5
SEUGI 1990 Using the SAS System as an Executive Information System Claudia Cavedon source 6
NESUG 1989 A Trauma Registry System Using the SAS System and dBASE III Plus Andrew Greenleaf,
Sivaram Kalyandrug		 8
SEUGI 1987 Rocheford Research on Creating a Human Environment for On-Line Research Tools L.K. J. van Romunde source 15
SUGI 1985 Sharing Application Development Between I/Sand the SAS User Al C. Ketchum,
Diane P. Moshier,
Gordon W. Slater		 source 4

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