---
title: Community Building for Open-Source Adoption in Japanese Pharma
tags: 
author: [森岡裕[SASユーザー総会世話人]](https://docswell.com/user/6484025)
site: [Docswell](https://www.docswell.com/)
thumbnail: https://bcdn.docswell.com/page/3JK9V3YRJD.jpg?width=480
description: Community Building for Open-Source Adoption in Japanese Pharma by 森岡裕[SASユーザー総会世話人]
published: October 21, 26
canonical: https://docswell.com/s/6484025/KN7332-2026-10-21-143718
---
# Page. 1

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Community Building
for Open-Source Adoption
in Japanese Pharma
R with Pharma Lab — lowering barriers through local community
Global OSS
Yutaka Morioka
Japanese Pharma


# Page. 2

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Yutaka Morioka
Title: SAS Guru
Organization: EPS Corporation
https://www.epsi-global.com/
A SAS programmer based in Japan and clinical data scientist. I actively disseminate SAS
programming techniques from introductory to advanced levels and have presented at
international and regional conferences including SAS Global Forum, CDISC Interchange
Japan, Phuse Japan SDE, and PharmaSUG SDE. As an organizer of the SAS User’s Group in
Japan, I also focus on fostering collaboration between SAS and R programmers, aiming to
create synergy across both communities.
Linkdin
github


# Page. 3

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Global momentum exists —
but accessibility is local.
Global R / OSS ecosystem
Japanese pharma practitioners
gap
01 — Growing importance
02 — Global momentum
03 — Local distance
R and OSS are increasingly important in
pharma work.
Communities like R in Pharma share
inspiration, tools, and energy.
Many Japanese professionals still feel
distant from the conversation.
02 / 09


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Open source needs a community to thrive.
Open-source adoption is sustained by visible, connected communities:
・sharing code on GitHub
・exchanging ideas on LinkedIn
・learning together in online spaces
But Japanese voices can be hard to find in these global channels.
Where are the Japanese practitioners?
They are there—but often not yet visible, connected, or comfortable participating
in English-first communities.


# Page. 5

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The hardest barriers
are cultural and psychological.
Language
Context
Technical discussion is often English-first;
Overseas examples don’t always map
nuance gets lost between languages.
onto Japanese work settings.
Confidence
Uncertainty
“Is it safe — or appropriate — to ask
The first practical step toward adopting
this question here?”
OSS responsibly is hard to see.


# Page. 6

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A native-language space
lowers the cost of participation.
01
Japanese language
discussion in one’s own
tongue,
imperfect English is fine
04
02
Psychological safety
Peer learning
imperfect questions welcome,
from those at a similar stage
silence never required
of the OSS journey
a welcoming
home
03
Practical examples
shaped to familiar work
contexts
and pharma settings


# Page. 7

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A long tradition of Japanese-language community
Since 1982, the SAS Users Group Meeting has been held annually in Japan.
It has provided a space for Japanese-language papers and presentations, enabling
pharmaceutical analytics professionals to exchange knowledge, experience, and
practical ideas.
A bridge to the global community
The meeting has also shared international developments in Japanese—making
global knowledge more accessible in a local context.
It has encouraged participants to connect with and contribute to communities
beyond Japan.
My perspective
I have served as an organizer of the SAS Users Group Meeting for the past four
years.
This experience showed me how a native-language community can turn global
information into local participation.
https://sas-user2026.ywstat.jp/
That experience inspired me to build a similar bridge for R and open-source software
in Japanese pharma.


# Page. 8

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R with Pharma Lab — a community
for Japanese pharma professionals using R
01
A Japanese-speaking community,
focused on R in pharmaceutical settings.
02
A place for inclusive, practical
knowledge sharing — not promotion.
03
Designed to meet people where they are
in their open-source journey.
Find us
[R with Pharma Lab]
sites.google.com/view/r-with-pharma-lab


# Page. 9

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R with Pharma Lab Meetup #1
A strong first step for a Japanese-speaking R community
8 April 2026 · Hybrid meeting · 09:00–17:30
A full day of practical learning and knowledge sharing
Foundations &amp; workflow
Pharma analytics &amp; standards
Reliable, reproducible practice
Getting started with R — an introductory session
for new R users
Automating ADaM creation with R — from data
standards to a more efficient workflow
Writing robust R code — practical patterns for
maintainable analyses
What is teal? — an introduction to interactive Shiny Causal inference for pharmaceutical data — an
applications for data exploration
accessible statistical introduction
Your first Quarto report — reproducible reporting
with code and narrative
tidyverse in 10 minutes — a rapid introduction to
modern data manipulation
Real-world data analysis in R — applying R to
observational healthcare data
Introduction to simulation — using simulation to
understand analysis behaviour
CDISC ADaM — an overview of analysis data
standards and results datasets
PMDA oncology inquiry package development —
creating reusable tools for regulatory-response
work
Introduction to testthat — automated testing for
reliable R code
Try {renv} — managing package environments
for reproducibility
R with Pharma Lab Meetup #2 is
now in planning.


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Community makes adoption
social, not solitary.
STAGE 01
STAGE 02
STAGE 03
STAGE 04
STAGE 05
Curiosity
Conversation
Confidence
Small experiments
Reusable practice
Observable
Practical
Conversational
Seeing peers try R makes the first step feel
achievable.
Shared examples reduce duplicated effort
across teams.
Informal discussion turns uncertainty into
practical judgment.


# Page. 11

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This is not R versus SAS —
it is a culture of sharing.
R community
SAS community
shared centre
Reusable, shareable
practice
Same table, also
Travels across tools
What we share
I have also been involved in SAS user meetings
and local study groups.
The same community principles carry across tools
and their generations.
Reusable code, transparent methods, peer
support — not tool-specific.


# Page. 12

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Pharma Forest —
exploring a SAS package framework.
Inspiration
Inspired by the collaborative ecosystem
of pharmaverse in R.
Exploration
Exploring how reusable, shareable
SAS tools can be organized.
Cultural
Broader goal — make sharing a normal
part of technical work.
https://github.com/PharmaForest


# Page. 13

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Community is infrastructure
for adoption.
01
OSS adoption needs local relevance
02
Native-language communities lower
03
Reusable tools grow when people
as well as global inspiration.
psychological and practical barriers.
have spaces to learn and share together.
By building bridges between global OSS ecosystems and local practice, we can make
open-source adoption more approachable in Japanese pharma.
Thank you.


