Page History

Project Scope

Analysis scripts for SEND data would be valuable tools. Can existing clinical scripts be used to help develop Nonclinical scripts? What is the best process for prioritising, developing and releasing analysis scripts for SEND data?

Project Leads	Email

William Houser

william.houser@bms.com

Kevin Snyder

Kevin Snyder, FDA

kevin.snyder@fda.hhs.gov

Lauren White (PHUSE Project Coordinator)lauren@phuse.euObjectiveTimelineCreate software that generates SEND data useful for demonstrating data visualisation tools, testing software that receives data from the standard, especially as standards are approaching finalisation. 2021Create large enough data sets for testing visualisation for data loading tools for capacity testing 2021Create example code to show: R script creation of XPT files, R script reading of the standard, R script reading of CT files. 2021

Project Members

Organisation Anthony FataSNBL

Atul Mishra

Pfizer

Bill Houser

BMS

Bill Varady

Boehringer Ingelheim

Bob Friedman

Xybion

Dhamodharan Ravindiran

Industry

Drashtti Vasant

Bayer

Project Members

Organisation Elaine ThompsonFDA

Eli Miller

Atorus Research

Fred Mura

PDS

Hanming Tu

Frontage Lab

Jarad Slain

MPI Research

Kevin Cahill

EPL

Kevin Snyder

FDA

William Houser, Bristol Myers Squibb	william.houser@bms.com
Alex Pearce, PHUSE Project Assistant	Alexandra@phuse.global

Status

colour	Blue
title	Current Status

Q42020Continued progress on SEND Data Factory and decided on directions for future work

Q1 2024
Collaboration with OpenStudyBuilder has been initiated to orient the application to generate nonclinical study protocols. An update will be provided on the progress towards this end and tasks will be assigned to progress development in this direction.

Resources
Coding Standards	Learning R for SAS programmers	More R Resources
Folder Structure	R FOR SAS AND SPSS USERS	Cheat Sheets for R Concepts and Packages
Name Convention	SASxport Users Guide	Using R for Data Analysis and Graphics
Metadata Tags	R for SAS programmers: It’s different, but friendly
Simple Index

Learning R for SAS programmers	More R Resources
R FOR SAS AND SPSS USERS	Cheat Sheets for R Concepts and Packages
SASxport Users Guide	Using R for Data Analysis and Graphics
R for SAS programmers: It’s different, but friendly

Other

Getting

Getting GitHub script repository access

for contributorsPHUSE group focused on Good Programming Practices: http://www.phusewiki.org/wiki/index.php?title=Good_Programming_Practice

for Contributors

Create account on GitHub site https://github.com/
Send Hanming Tu (htu@frontagelab.com) your GitHub ID asking to be a contributor.
Hanming will send an invitation that will come as an email from "GitHub"
If you don't see the invitation link in your email, you can accept the invitation from https://github.com/orgs/phuse-org/invitation
You can download/clone a whole repository to your computer if you have a client for the repository. You can get either TortoiseSVN (https://www.wikihow.com/Install-and-TortoiseSVN-and-Make-Your-First-Repository-Change) or GitHub desktop (https://desktop.github.com/). See the useful links at https://github.com/phuse-org/phuse-scripts/wiki/Read-Me-First-(Google-Code).
Read other getting-started information here: https://github.com/phuse-org/phuse-scripts/wiki/Read-Me-First-%28Google-Code%29
To see a list of contributed scripts
1. get into GitHub and select the tab for the Wiki
2. Look at the list on the right side and open the link for Simple Index