Interorganizational SEND Project
Welcome to the Wiki for our project to identify challenges and propose solutions to help Sponsors and CROs, to work efficiently together, in a world where nonclinical data, possibly derived from different organizations, will be required to be aggregated in SEND format, for submission to the FDA.
The responsibilities for creating the SEND files for a study is often shared across organizations. Clarity is needed on how these responsiblities can be effectively managed.
- Between March 2014 and March 2015
- Survey of industry SEND data from Small/Medium Service Providers: How prepared are they to supply data in SEND format?
- Template to Facilitate Creating Pharmacokinetic SEND datasets
- Between March 2013 and March 2014
- Summaries of actual experience with scenarios Scenario Experience
- Points to consider list when preparing to create SEND datasets for studies that involve multiple organizations:
- The role of GLP in SEND files http://www.phusewiki.org/wiki/images/d/d7/PP12_Quality_System_for_SEND_-_flat.pdf
- Between March 2012 and March 2013
- We developed a framework to classify and prioritize scenarios in which data from multiple orginzations needs to be aggregated.
- We selected 3 scenarios and for each developed workfows "on-paper" to create and submit SEND datasets.
- While considering these scenarios we identified several questions that needed to be answered and collaberatively developed answers. These have been published on the PhUSE SEND User's Group wiki: Handling of SEND in Study Documentation
- We started preparing a Scenarios White Paper
- We published a poster at the 2013 FDA/PhUSE Computational Science Symposium, which is available as slides File:I-SEND Poster 2013 as slides.pdf
At the March 2015 meeting:
- It was determined that the remaining tasks envisioned for this group are a lower priority than the other pressing needs for collaboration in nonclinical computational sciences. As a result this project is complete.
- The following items were considered as the next work for this team; so, as priorities adjust in the future, these may be worked on again:
- Create a template for PP data and enhance the PP template to provide organizations without SEND capabilities a way to provide TK data in a format that can more easily be integrated into a set of SEND datasets for a study.
- Pilot its use
- Create a "points to consider" list
- Adjust the template as needed
- Publish the results on the PhUSE SEND Wiki and at the 2015 PhUSE/FDA Computational Sciences Symposium.
- Evaluate the applicability of other CDISC standards CDASH, ADaM, ODM for non-clinical studies and publish the results on the PhUSE SEND Wiki and at the 2015 PhUSE/FDA Computational Sciences Symposium.
- Pranav Agnihotri, PointCross
- Kenjie Amemiya, Genentech
- Brian Argo, MPI Research
- Rich, Buchanan, Preclinical Data Systems
- Kathryn Brown, Sanofi
- Susan DeHaven, Sanofi
- Steven Denham, MPI Research
- Jennifer Feldmann, Instem
- Jeff Foy, Celgene
- Geoff Ganem, Genentech
- Nancy Gongliewski, Novartis
- Elizabeth Gram, Zoetis
- William Houser, Bristol-Myers Squibb
- George Kahlbaugh, Boehringer-Ingelheim
- Laura Kaufman, Preclinical Data Systems
- Rihab Kordane, Charles River Laboratory
- Lou Ann Kramer, Eli Lilly
- Wayne Kung, Genentech
- Carolyn McGary, Bristol-Myers Squibb
- Connie Marvel, Bristol-Myers Squibb
- Shree Nath, PointCross
- Louis Norton, Covance
- Debra Oetzman, Covance
- Daniel Potenta, Novartis
- Kathleene Powers, Pfizer
- Gerard Randoph, Roche
- Maureen Rossi, Roche
- Lynda Sands, GlaxoSmithKline
- Paul Sidney, Charles River Laboratory
- Jared Slain, MPI Research
- Troy Smyrnios, Zoetis
- Eric Sun, Sanofi
- Kevin Trimm, Charles River Laboratory
- Audrey Walker, Charles River Laboratory
- Heather Williamson, PointCross
- Peggy Zorn, INDS
Conference Calls and Minutes
Last revision by William.houser,03/14/2016