| PHUSE US |
2026 |
Evolve Clinical Data Management: A Python-Based Framework for Clinical Data Transformation with Generative AI Integration |
Mitul Patel, Denis Sokolov |
source presentation source |
5 |
| PHUSE US |
2026 |
Submitting eCRT SDTM Data for ISS |
Aida Swierk |
source presentation source |
10 |
| PHUSE APAC |
2026 |
E2E Clinical Metadata Journey: 'Single Source of Truth' to Accelerate Clinical Research - From Collection and Tabulation to Analysis and Reporting |
Indumathi Narasetty |
source presentation source |
9 |
| PHUSE APAC |
2026 |
From XPT to JSON for submissions: Are we ready for the change? |
Poorna Suresh, Bill Qubeck |
source presentation source |
20 |
| PHUSE APAC |
2026 |
Optimising Pinnacle 21 Compliance with Automated Metadata Updates |
Karthik Palani |
source presentation source |
7 |
| PHUSE APAC |
2026 |
RIP – Inconsistent Metadata Specifications with RAP (R And Python) Generate Specs Faster and Detect Early Errors to Speed Up Submissions |
Kairav Tarmaster |
source presentation source |
8 |
| PHUSE EU |
2025 |
Turbocharge Your Trials: Transform CRF Creation and the CDISC standardization process with Xbiom's Smart Metadata Repository and AI/ML Integrations |
Harinarayanan Gopichandran |
source presentation source |
8 |
| PharmaSUG |
2025 |
Accelerating Data Discovery and Governance: Unlocking Insights with Metadata Management, Data Catalogs, and LLM Integration for Streamlined Regulatory Approval in Clinical Trials |
Pritesh Desai, Samiul Haque |
source |
7 |
| PharmaSUG |
2025 |
AI Empowered Metadata Governance |
Prasoon Sangwan |
source |
9 |
| PharmaSUG |
2025 |
Use Gen AI to program rules in R & Python to generate and validate metadata for data standards and study specifications. |
Priyanka Sawant, Kairav Tarmaster |
source |
9 |
| PHUSE US |
2025 |
eProtocol and the Promise of Automation |
Bill Qubeck, Suhas Giriraj |
source presentation source |
17 |
| PHUSE US |
2025 |
Turbocharge Your Trials: Transform CRF Creation and the CDISC standardization process with Xbiom's Smart Metadata Repository and AI/ML Integrations |
Harinarayanan Gopichandran |
source presentation source |
8 |
| PHUSE US |
2024 |
Statistical Reporting Metadata Manager: Web Application to Streamline and Centralise Global and Study Metadata Preparation and Management |
Faisal Mohammed |
source presentation source |
4 |
| PHUSE EU |
2023 |
TFL Automation the CDISC 360 Way |
Alison Macnab, John McDade |
source presentation source |
12 |
| PharmaSUG |
2023 |
Challenges with Metadata Repository System Implementation: A Sponsor-s Perspective |
Radhika Kale, Reema Baweja |
source |
9 |
| PHUSE US |
2023 |
Increase an EDC's Efficiency and Ease of Use through an End-to-end Trial Designer [presentation] |
Diego Caso, Jose C. Lacal |
source video |
17 |
| PHUSE US |
2022 |
Standards Governance Strengthened by MDR Technology [presentation] |
Kenneth Stoltzfus, Maria Sekac |
source |
22 |
| PHUSE EU |
2020 |
Agile Software Development of R Shiny Programs with Open-source Tools [presentation] |
Sven Prasse |
source video |
20 |
| SGF |
2020 |
Data Catalog: The Binding Governance Tool for a Successful Digital Transformation |
Vincent Rejany |
source |
29 |
| PHUSE US |
2020 |
Life Science's Process and Artifact Generation Automation |
Lucky Singh |
source |
2 |
| PharmaSUG |
2019 |
Metadata Repository V1.0 - A Case Study in Standards Governance |
Aparna Venkataraman |
source |
7 |
| PharmaSUG |
2019 |
Streamlining the Metadata Management Process Using SAS Life Science Analytics Framework |
Alex Ford |
source |
6 |
| PHUSE US |
2018 |
Commissioning a MDR System: Next-generation of Standards implementation |
Abhinav Jain |
source presentation source |
6 |
| PharmaSUG |
2018 |
Levista - An Integrated Programming Environment with Visualization |
Priya Lakshmi Saradha |
source |
4 |
| PharmaSUG |
2018 |
Why organizations need MDR systems to manage metadata? |
Abhinav Jain |
source |
7 |
| SGF |
2018 |
Maximizing Metadata Management |
Lewis Mitchell |
source |
19 |
| PHUSE EU |
2017 |
Clinical Metadata - Web-based metadata management with a CDISC mindset |
Andrew Ndikom, Liang Wang |
source presentation source |
12 |
| PHUSE EU |
2017 |
How a Metadata Repository can Facilitate Automated Data Collection Processes |
Judith Goud |
source presentation source |
8 |
| SGF |
2017 |
Shared File Systems: Determining the Best Choice for your Distributed SAS Foundation Applications |
Margaret A. Crevar |
source |
11 |
| PharmaSUG CN |
2016 |
Make the Most Out of Your Data Set Specification |
Thea Arianna Valerio |
|
8 |
| PHUSE EU |
2014 |
Metadata, Study Standards, Interoperability: Key Concepts Toward Compliance to FDA Guidance |
Isabelle de Zegher |
source presentation source |
3 |
| SGF |
2013 |
How to Choose the Best Shared File System For Your Distributed SAS Deployment |
Barbara Walters, Ken Gahagan, Leigh A. Ihnen, Vicki Jones |
source |
8 |
| PHUSE EU |
2012 |
Clinical Reference Library: Metadata and Standards Management in a Single Tool [presentation] |
Jonathan Peachey, Colin Sprink |
source |
12 |
| PHUSE EU |
2012 |
Define.xml for ADaM: From Results to SDTM [presentation] |
Dimitri Kutsenko |
source |
5 |
| SGF |
2012 |
Defining the Development Process and Governance of Implementing ADaM within an Organization |
Chris Decker |
source |
11 |
| NESUG |
2010 |
The 5 Biggest Challenges of ADaM |
Terek J. Peterson, David C. Izard |
|
11 |
| PHUSE EU |
2010 |
Driving value through Standardization - Industry Challenges and Best Practices [presentation] |
Henry Levy |
source |
15 |
| PharmaSUG |
2010 |
The 5 Biggest Challenges of ADaM |
Terek J. Peterson |
|
11 |
| SGF |
2010 |
dATa qWaliti 4 Analytics |
David Barkaway, Gerhard Svolba |
source |
12 |
| PHUSE EU |
2009 |
From raw data to submission: A metadata-driven, repository-based process of data conversion to CDISC |
Dimitri Kutsenko |
source presentation source |
7 |
| SESUG |
2008 |
Using PSI to monitor predictive model stability in the database marketing industry |
Shihong Li, Sandeep Kharidhi, Matt Kramer |
source |
4 |
| PharmaSUG |
2005 |
Pharmacovigilance and Drug Safety Reporting Algorithms (Content and Process) |
David Olaleye, Michael Kilhullen, Gail Kongable, Tanyss Mason, Eugenia Bastos, Edward D. Helton |
|
8 |
| SUGI |
2005 |
Are You Ready to Roll? SAS9 Implementation Lessons Learned |
Tim Walters |
source |
7 |
| PharmaSUG |
2004 |
Defining and Validating CDISC Data Standards to XML in SAS Technology |
Anthony L. Friebel |
|
6 |
| NESUG |
2003 |
SAS Metadata, Authorization and Management Services - Working Together for You |
Michele Ryals |
|
9 |
| SEUGI |
2003 |
Business Intelligence with SAS 9.1 [presentation] |
Mark Torr |
source |
31 |
| SEUGI |
2003 |
SAS Human Capital Management [presentation] |
Carolyn Cobb |
source |
30 |
| SEUGI |
2003 |
Service Level Management - A Critical Success Factor for IT and Business [presentation] |
Angelo Tenconi |
source |
33 |
| SUGI |
2003 |
SAS Metadata, Authorization and Management Services - Working Together for You |
Michele Ryals |
source |
|
| SEUGI |
2002 |
Proper Architecture Considerations For Data Warehouse Implementation [presentation] |
Mark Nilan |
source |
29 |
| SEUGI |
2001 |
Data Warehouse Technology As The Main Building Block of the Modern IT Strategy of the Polish Customs Adminstration [presentation] |
Andrzej Tyrowicz |
source |
34 |
| SUGI |
1999 |
Large Scale Data Warehousing with the SAS System |
Tony Brown, Leigh A. Ihnen, Jim Craig |
source |
10 |
| SEUGI |
1997 |
The future of data warehousing |
Sean Kelly |
source |
28 |