Inter- U nive rsit y
Res ea rch I nst it ute C o r p o rati o n

Research Organization ofInformation and Systems
2023 / 2024

National Institute of Polar Research
National Institute of Informatics
The Institute of Statistical Mathematics
National Institute of Genetics
Joint Support-Center for Data Science ResearchMessage from the President of ROIS

Leveraging ROIS’ unrivaled
digital and statistical prowess to take on challenges

We have entered a highly uncertain, unpredictable age
beset by natural disasters and wars around the world as well
as global-scale pandemics. However, we must not despairat this state of affairs and simply wait in hope of better
circumstances. Rather, we must move forward with an eye
to the future.
The Research Organization of Information and Systems(ROIS), consisting of four distinguished research institutes,
aims to solve complex phenomena and issues relating
to life, the earth, the natural environment, and humansociety by reframing these issues from the perspective of
information and systems while advancing data science toconduct integrated research that transcends disciplinary
boundaries. In line with its mission to support resourcesharing and joint research among all universities, ROIS
promotes cutting-edge research in specialized fields throughjoint research that transcends university boundaries by
providing researchers nationwide with access to large-scale,state-of-the-art equipment and facilities, big data, valuable
materials, and analytical methods. Unparalleled in theworld, ROIS is a unique Japanese research organization thatdrives contributions to the field of education through thecultivation of data scientists and the advancement of digitaltransformation in education.
The National Institute of Polar Research (NIPR) contributes
to international efforts such as the Intergovernmental Panelon Climate Change (IPCC) by conducting detailed analyses of
ice cores in order to elucidate climate change over the past
several hundred thousand years. Preparations are currently
underway for new drilling to excavate even older ice cores
dating back over 1 million years. NIPR communicates theimportance of observational activities by broadcasting
2

images of the area near Syowa Station, despite the harshcommunications environment of the high latitudes ofAntarctica. NIPR further contributes to the development of
future researchers by facilitating an online “Antarctic Class”
conducted by wintering party members as well as content
for Japan’s GIGA School Program.
In April 2022, the National Institute of Informatics replaced
the previous Science Information NETwork (SINET) withthe world’s fastest ultra-high-speed network infrastructure,
SINET6, which provides transmission speeds of up to
400 Gbps. In addition to the over 1,000 institutions anduniversities currently being served, the network will soon beoffered to elementary, junior high, and high schools as well.
SINET is also expected to make substantial contributions
to industry and continuing education. The full rollout of
the GakuNin RDM research data management platform
not only provides data management support for individual
researchers but also supports the development of open
science by providing a platform for the proper release of
research data.
The Institute of Statistical Mathematics (ISM) successfully
developed and released RadonPy, the world’s first softwarethat fully automates polymer physical property calculations
using all-atom classical molecular dynamics simulations.
In addition, it is working on the unprecedented challenge
of developing a polymer physical-property database
containing more than 100,000 types of polymer materials,
using computational resources such as the supercomputer
Fugaku. That research project is considered a global-scalechallenge in the domain of materials science. The Data
Assimilation Supercomputer at ISM, which has the world’s
largest memory, serves as a platform for instantaneously

Masaru Kitsuregawa

President of the Research Organization ofInformation and Systems
estimating and simulating extremely large, complex models
in the fields of natural and social sciences.
The National Institute of Genetics (NIG) is deepening ourunderstanding of marine ecosystems, which are criticalto the resolution of global issues such as global warming
and biodiversity loss, by elucidating the genomes of sharksand other marine vertebrates, which are evolutionarily
distantly related to humans, based on the concept of “bluecarbon” (i.e., mitigation approaches aimed at storing carbon
dioxide in marine ecosystem), which has received increasing
attention in recent years. In addition, NIG is promoting theapplication of green biotechnology using microalgae thatcan be cultivated under high temperature, strong acidity,
and high salt concentration, which is expected to be usedfor various applications such as functional feeds and protein
resources. The institute is not only promoting activities
for social implementation with domestic companies but
is also contributing to the elucidation of changes in the
global environment and ecosystems through genetics-based
research.
It is in this manner that ROIS is able to bring together
its four constituent institutes—including two disciplinespecific institutions that study complex phenomena andtwo institutes responsible for basic and applied researchin informatics as well as statistical and mathematicalsciences, which are commonly needed by all disciplines—
in various combinations to carry out complex science andto further develop data science based on this collaboration.
Furthermore, through the Joint Support-Center for Data
Science Research (ROIS-DS) established in 2016 thatconnects the research domains of the four institutes, ROIS isable to actively promote interdisciplinary activities, pioneer

new research fields, and promote open science initiatives toreturn the results of its research to society in order to bringinnovation to society through data-driven science.
The third AI boom that started in the 2000s and has
continued up to the present as well as the much-discussed
emergence of ChatGPT are expected to bring about myriad
innovations in a range of fields and services. Along withthe anticipated potential to improve wellbeing, the factthat the authenticity and accuracy of the information
provided by AI is not checked means that users will need todevelop the ability and literacy to evaluate the veracity ofthis information for themselves. Although the advance of
AI into all areas of society promises to improve the qualityof daily life, it is also true that we will face new problems
that could not have been foreseen in the past. ROIS willcontinue its efforts to solve both domestic and global
issues by leveraging the organization’s digital and statisticalprowess, while keeping an eye on the interests of society
and economic security as well as the relationship between
services and the law.
Founded in 2004, ROIS is a relatively new organization that
may be unfamiliar to many, especially those in the industrial
world. We seek to manage the organization in a way thatmaximizes returns to our stakeholders by leveraging theadvantages of scale while building on the strengths of ourfour long-standing research institutes.
The Research Organization of Information and Systems looks
forward to your continued support and encouragement.
May 2023

3

Research Institutes in Pursuit of Scientific Principles andNational Institute of Polar Research
Japan’s Core Institution
for Polar Research and Observation
The Arctic and Antarctic respond sensitively to shifts in
the global environment, resulting in changes that, in turn,can dramatically impact the future of humanity. NIPR
promotes cutting-edge research from the standpoints ofearth and planetary sciences and the life sciences basedon observational data obtained through field research andother means in the Arctic and the Antarctic. This research
not only yields scholarly knowledge but also contributes
to tackling global challenges. NIPR also contributes toachieving the UN Sustainable Development Goals (SDGs)
through its promotion of research and observation
relating to the protection of marine resources and coastal
ecosystems. In addition, as the implementing agency
for the Japanese Antarctic Research Expedition and the
Artic Challenge for Sustainability II (ArCS II) project, whichaims to accelerate Arctic research, NIPR provides various
platforms—including observational stations, equipment,
facilities, and ships—to researchers nationwide in Japan.

Radar-based survey of the topography underlying the icesheet around Dome Fuji,
Antarctica. The information obtained is essential for drilling ice cores dating backover one million years.

East Antarctica has also been a major contributor to the global sea-level rise, andthe greatest ice discharge from the East Antarctic Ice Sheet occurs via the Totten
Glacier. Researchers revealed ocean heat transport pathways toward the cavityof the Totten Glacier, providing fundamental insights into the physical processes
that control the melt rate of the glacier.

National Institute of Informatics
Weaving Information
into Knowledge
and Creating Future ValueNII promotes research in all areas of informatics — fromtheoretical computer science to such cutting-edge topics
as artificial intelligence, big data, IoT (Internet of Things),
and cybersecurity — to build the way for “future value
creation” in this new study field as Japan’s only academic
informatics research center. NII also operates SINET6,
which serves as a platform for scientific research, andthe NII Research Data Cloud, which serves as a platform
for managing, publishing, and discovering research data.
In addition, NII supports national universities throughthe operation of NII Security Operation Collaboration
Services (NII-SOCS), a set of information security services
based on inter-university collaboration. NII also focuseson collaboration with domestic and overseas universities,
research institutions, and companies.

SINET6 covering almost all of Japan with a maximum speed of 400 Gbps supports
open science.

Example of AI-based automated diagnosis of COVID-19 pneumonia from research
on AI-based automated diagnosis using medical big data.

4     

Cutting-Edge Research

The Institute of Statistical Mathematics
Multidisciplinary Research in Statisticaland Mathematical Sciences andProfessional Development in Statistics
As Japan’s core research institute for statistical andmathematical sciences based on large-scale and complex
data, the Institute of Statistical Mathematics (ISM) promotes
cutting-edge research and conducts world-class research in amanner that is both sustainable and innovative. In addition tomaintaining and providing a broad array of data infrastructureand software on its shared-use supercomputers, ISM engages
in various industry-government-academia collaborations
through its NOE (Network Of Excellence) Project to addressconcerns of the community and societal goals such as
achieving the SDGs and mitigating environmental impacts.
Furthermore, ISM offers various educational programs forpeople engaged in statistical thinking at various levels. ISM
also contributes to the development of human resources
with expertise in medical statistics as well as the rapidly
expanding field of data science at universities nationwide byfocusing on fostering young statistical experts to serve as
the next generation of statistics educators and researchers.

Polymer libraryu Commercially available polymers and polymers in public databaseu Virtual library generated by XenonPy

ML: Design of Experiments
Coproduction of data

Contributor 1

Contributor 2

Contributor 3

Databaseu More than 05 polymers
u Amorphas, oriented polymers, polymer composites,
crosslinked polymers
u hermophysical and mechanical properties, etc

RadonPy, software for automatically calculating polymer properties developedby ISM and creating a large physical property database of polymer materials byindustry-academia consortium.

ISM has conducted and analyzed “Japanese National Character Survey” every 5
years since 1953. This graph indicates the particulars of the change in “The mostimportant thing in life (1958-2018)”.

National Institute of Genetics
Activity of Biological Organisms Is
Based on Genetic Information
Genetic information is the source of life, which evolves
as it is passed on to the next generation. Genetics aims
to unravelt he mystery of life from the perspectiveof genetic information. NIG conducts state-of-the-art
research on cellf unction, development/differentiation,
evolution/biodiversity, and genome/bio information;
simultaneously, it pioneers new research in the life
sciences. Furthermore, NIG, as an inter-university research
institute, operates research infrastructure projects:
the BioResource Project, Advanced Genomics Project,
Bioinformation and DNA Data Bank (DDB) Project, andPhenotype Research Promotion Project. Through these
efforts, NIG provides academic and industrial communities
engaged in the life sciences with access to research
infrastructures and opportunities for joint research ingenetics. Furthermore, NIG has, in collaboration with NII
and the Joint Support-Center for Data Science Research(ROIS-DS), launched the BioData Science Initiative (BSI)
designed to serve as a hub for activities nationwide.

Comprehensive search of viral genomes using the immunological memory ofprokaryotes.

Elucidation of the regulatory mechanisms for expression of transcription factorsthat control mesoderm formation.

5    

Research Institutes in Pursuit of Scientific Principles
and Cutting-Edge Research
Joint Support-Center for Data Science Research
Cultivation of New Knowledge
through Data Science
Joint Support-Center for Data Science Research (ROISDS) is the newest organization of ROIS established in2016. The mission of ROIS-DS is to support a variety of
researchers to conduct projects on the subjects of datadriven or data-oriented sciences using technologies forbig-data analysis, for example, through collaborations
with the members of our centers. ROIS-DS works jointlywith the four institutes constituting ROIS as well asother inter-university research institute corporations
to conduct innovative interdisciplinary research andto pioneer new research areas that bring together
disciplines in both the natural sciences (life sciences,
earth and planetary sciences, etc.) and the social
sciences (sociology, humanities, etc.). In addition,
ROIS-DS promotes scientific advancement and social
innovation through its various initiatives to support data
sharing, data analysis, human resource development,
and open-call research collaboration.

The edomi website, a data portal for the history of Edo.
http://codh.rois.ac jp/edomi/

Relationship between Research Institutes and ROIS-DS
Based on ROIS’ philosophy of the organization,
as a center to focus on promoting integrated
research alongside the four research institutes(NIPR, NII, ISM, NIG), ROIS established ROISDS, a new type of research organization. Efforts
led by ROIS-DS in coordination with other interuniversity research institutes are underway tofurther strengthen coordination and cooperation
with universities and other research institutes
both in Japan and abroad with the goal ofcontributing to scientific advances and social
innovation. As of 2022, ROIS-DS comprises six
research centers: Database Center for Life Science(DBCLS), Polar Environment Data Science Center(PEDSC), Center for Social Data Structuring(CSDS), Center for Open Data in the Humanities(CODH), Center for Genome Informatics (CGI),
and Center for Data Assimilation Research andApplications (CARA).

Academic community
ROIS
Polar science
community

NIPR

Informatics
community

ISM

Statistical andmathematicalsciences
community

Office ofstrategic planning
ROIS-DS

Genetics
community
Coordination
among
institutes
Universityaffiliatedresearch

NIG

Integrated artsand sciences project
NOEInternational
coordination

Overseas
data science
research
institutes

Universities and other institutions

Widespread data sharing/analysis support and promotion of
resource-sharing/joint research for all researchers
Resource-sharing within disciplines

6

NII

Resource-sharing across disciplines 

    

Resource-Sharing and Joint Research toSatisfy the Increasing Sophistication of Diverse Needs

SINET6: The World’s Fastest Network
Infrastructure Supporting Scientific Research
A novel platform with an eye toward Society 5.0
Advances in network technology and IT are driving the
rapid development of AI and the IoT. We are in theprocess of transitioning to Society 5.0, which is defined
as a data-driven society in which all types of dataobtained in the real world are analyzed in cyberspace
and used to optimize and improve everyday life. In
addition to fulfilling its various other functions, SINET
is expected to serve as a foundation for promoting
Society 5.0.
NII’s upgraded network platform: SINET6
To deal with the ever-increasing volume of researchdata, NII has upgraded its previous high-speed SINET5
network (maximum speed: 100 Gbps) to SINET6 witha maximum speed of 400 Gbps, making it the world’s
fastest network. SINET6 also provides a revolutionary
new secure environment for ultra-high-speed wireless
and wired communications through the adoption ofhigh-speed 5G mobile access technologies capableof supporting wide-ranging IoT-based research anddiverse virtual private network (VPN) technologies
that can be tailored to specific research activities. To
support the efforts of large-scale research institutions
and universities that handle big data, NII is also

A wide range of research platforms are expected to be built based on the SINET6
network.

increasing the number of domestic access points andstrengthening international linkages with overseas
research networks.
Continued support foran ever-changing research environment
To further enhance functionality of its Scientific
Research Digital Platform, NII has integrated the SINET
and NII RDC with the goal of providing comprehensive
support for the full range of research activities at all
steps of the research cycle. SINET will continue tosupport the ever-changing research environment.

Machine Learning to Predict
Chemical Compositions That Form Quasicrystals
Current status and challenges in quasicrystal research
Quasicrystals are solid materials that lack thetranslational symmetry of ordinary periodic crystals, but
are nonetheless highly ordered. Since their discovery
in 1984, approximately 100 thermodynamicallystable quasicrystals have been identified. However,the pace of discovery of new quasicrystals has
slowed dramatically in recent years. This is because
the stabilizing mechanisms and rules governing
quasicrystal formation are largely unknown.
Development of data-driven approaches
in quasicrystal research
The data-driven approaches being implemented inquasicrystal research represent largely unexploredterritory. ISM conducts research aimed at accelerating
the pace of new quasicrystal discovery and understanding
the rules governing quasicrystal formation using
analytical tools from data science.
Accelerating the pace of quasicrystal discovery using
the tools of data science
This research has yielded a machine learning algorithm
for predicting chemical compositions that form
quasicrystals with extremely high accuracy, enabling
the actual synthesis of several new quasicrystals.

Machine learning workflow. A model was created using a random forest classifierthat predicts the class label of a given chemical composition as quasicrystal (QC),
approximant (AC), or “others”.

This research has also elucidated five rules governing
quasicrystal formation through the extraction of
input-output rules inherent in the “black box” ofthe machine learning model. Numerous researchers
are currently using this method to investigate newmaterials (e.g., semiconducting, superconducting, andferromagnetic quasicrystals) with novel properties.

7Resource-Sharing and Joint Research to Satisfy the Increasing
NIPR

NIG

Providing Specimens and Facilities
for Polar Research

Support for Sequencing andAnalyzing Genetic Information

NIPR offers a wide range of support for researchers
on polar science, including curating of Antarctic rocks,
minerals, meteorites, ice cores and biological specimens;
sharing of data from these specimens and large-scaleatmospheric radars installed in the Artic and Antarctic;
use of research instruments such as the SHRIMP(Sensitive High-Resolution Ion Microprobe) secondary
ion mass spectrometer to analyze the formation periodof minerals, ice core drilling equipment and its support,
and the Polar Science Computer System.

The Advanced Genomics Center offers the latest
sequencing technology and genomic research tools to
the research community. Nucleotide sequence data fromgenomic analyses are archived at the Bioinformation
and DDBJ Center and provided to researchers worldwide
as open data. In addition, NIG provides supercomputer
system services optimized for information analysis in life
science.

Ice core drilled at the Dome Fuji station in the Antarctica.

ROIS-DS

NIG(On-line) Report Meetingfor Research Results of ROIS-DS-JOINT

Bioresource Initiatives
and Phenotype Research

These meetings are held to disseminate the results ofopen-call research collaboration. The third meeting
held in 2022 was hosted online (videos of presentations
can be found on the ROIS-DS website). The meeting
comprised three sessions—keynote speeches by invited
speakers, reports on each centers’ activities, and poster
presentations using video chat tools—and resulted
in lively discussion on the accomplishments of joint
research.

Use of an online tool (SpatialChat Ltd.) to allow visitors to freely move around theposter area.

8

The Genetic Resource Center develops and analyzes
model organism strains that are important for life science
research. Working with the National BioResource Project(NBRP), the center not only maintains and distributes
these strains, but also compiles and provides databasesof genetic resource information on these strains. The
Phenotype Research Center provides genetic researchtools and resources developed by NIG and the use of NIG
facilities as a beneficiary-paid service.

    

Sophistication of Diverse Needs
ISM

ROIS-DS

Supercomputer Systems andInformation Resources

Data Science Collaboration Program"ROIS-DS-JOINT"

ISM provides resources/environments for collaborative
research to the domestic and international researchcommunities through Supercomputer System for
Statistical Science and Communal Cloud Computing
System. Replacement of the Supercomputer System for
Data Assimilation was completed in March of 2023. As
Japan’s only library dedicated to statistical science, ISM
Library maintains a large collection of relevant journals
and books both in print and digital formats.

The major aim of ROIS-DS-JOINT, applications for Joint
Research Program, is to conduct collaboration-based
research projects on the subjects of data-driven scienceswith the variety of university researchers. The number ofparticipating institutions has increased every year alongwith a steady expansion of the range of support provided
for data-driven research. There are two types of ROIS-DSJOINT programs: Joint Research Program and Joint Research
Meetings Program. We are pleased very much to announce
that ROIS-DS-JOINT is open to the wide range of researchers
including ones from foreign universities/non-profit institutes.
Centers

DBCLS
PEDSC
CSDS
CODH
CGI
CARA
Number of accepted projects/
acceptance rate

Number of applications
Number of participating institutions*
Newly participating institutions
Number of participants**

Supercomputer System for Statistical Science (top left), Communal Cloud Computing System(top right) and Supercomputer System for Data Assimilation (bottom right)

2017

2018

2019

2020

2021

2022

Total

8

40

Joint Research Meeting Program

4

4

4

0

0

1

13

Program
Joint Research Program

3

7

8

7

7

Joint Research Program

3

7

8

7

8

12

45

Joint Research Meeting Program

0

1

1

0

0

1

3

Joint Research Program

5

7

10

7

8

8

45

Joint Research Meeting Program

2

0

0

0

0

0

2

Joint Research Program

2

4

3

4

4

6

23

Joint Research Meeting Program

0

3

0

0

0

0

3

Joint Research Program

3

1

3

2

4

4

17

Joint Research Meeting Program

0

0

0

0

0

0

0

Joint Research Program

4

4

5

6

6

8

33

Joint Research Meeting Program

2

1

1

0

0

0

4

53
48
47
26
17
37

Joint Research Program
20
30
37
33
37
48 20595 2 % 90 9 % 100 0 % 91 7 % 94 9 % 96 0 % 94 9 %Acceptance Rate
230
Joint Research Meeting Program
8
9
6
0
0
2
25
100 0 % 100 0 % 100 0 %100 0 % 100 0 %Acceptance Rate
96.6 % 92.9 % 100.0 % 91.7 % 94.9 % 96.2 %95.4 %
Total Acceptance Rate
Joint Research Program
21
33
37
36
39
50 216
Joint Research Meeting Program
Joint Research Prog am

25

241

8

9

6

0

0

2

43

70

74

66

77

77

43

42

33

16

16

9

159

88

130

135

123

145

170

791

407

Track record of activities related to open-call collaborative research*at the time of acceptance **at the time of acceptance, cumulative

NII

NIPR

NII Research Data Cloud

Progress of Large-Scale Arctic Research

Operation of the NII Research Data Cloud (NII RDC),
which was developed to promote data-driven and open
science, was launched in 2021. Numerous universities
and research institutions have begun using the system inconjunction with formulating policies on research data.
Through the steady expansion of its functionality, the
NII RDC continues to evolve as the leading platform forJapan’s data strategy.

Sum Total

As Japan’s representative in the Arctic Challenge for
Sustainability II (ArCS II), NIPR engages in cutting-edge,
interdisciplinary research on the Arctic and sharesthe findings of this research with the public throughthe dissemination of Artic sea-ice forecasts and otherrelated information. NIPR also participates in the NextGeneration IS Radar Project for Atmospheric andGeospace Science (EISCAT_3D) project and manages the
Ny-Ålesund NIPR Observatory.

RDM Platform

Data Governance
Data Provenance
Code Package
Secure Computation
Data Curation
xper ment

Co laborat on

Analys s

Research Data
Life Cycle

Planning

Writing

Curationdea

Discovery
Platform

Discovery

Publica ion

Publishing
Platform

Preservat on

WEKO3

Capacity Building
Secure Storage

Overview of the NII Research Data Cloud.

Ny-Ålesund, Svalbard

9   

Expansion of Joint Research Activities
with Other Institutes Based on Open-Call Joint Research
In addition to conducting cutting-edge research and pioneering new research areas in their respective domains,inter-university research institute corporations provide resource-sharing use and joint research platforms thattranscend the boundaries of individual universities.
Every year, ROIS hosts over 2,000 researchers as part of open-call joint research that involves the research resources
and personnel of ROIS’s four institutes and ROIS-DS.
Individuals interested in participating in open-call joint research that makes ROIS research facilities available touniversities and other research institutions, technical colleges,
JROIS (each institute has its own)
and companies can apply by using the Joint-Research On-line
Integrated System (JROIS) or contacting the open-call joint
research desk of the individual ROIS institutes. Applicants who areaccepted will be able to conduct joint research and participate injoint research meetings together with ROIS researchers.
The eligibility requirements and content of open-call joint
research vary by laboratory or facility. As such, please visit
individual websites for detailed information.
https://jrois2.rois.ac.jp/

The process for participation in open-call joint research

Application
informationfromindividual laboratories
or facilities

Emailthe contact deskof the institute
you areinterested in

Registration ofuser information

Apply fora particular topic

Application
review

Acceptance

Progress report

Log in to
the JROIS system

Inquiries Related to Resource-Sharing and Joint Research

NIPR

https://www.nipr.ac.jp/research/ （Japanese）

Phone: +81-50-5533-8644 E-mail: kyodo-nipr@t.rois.ac.jp

NII

https://www.nii.ac.jp/research/collaboration/koubo/ （Japanese）

E-mail: kyoudou@nii.ac.jp

ISM

https://www.ism.ac.jp/kyodo/index_j.html （Japanese）

Phone: +81-50-5533-8513 E-mail: kyodo-ism@t.rois.ac.jp

NIG

https://www.nig.ac.jp/nig/ja/research-infrastructure-collaboration/nig-collaboration-grantE-mail: kyodo-mail@nig.ac.jp

ROIS-DS

https://ds.rois.ac.jp/crp/calling/

Phone: +81-42-512-9254 E-mail: ds_suishin@rois.ac.jp
general inquiries related to resource-sharing and joint research, please contact the ROIS head office (see below).
▪ For
https://www.rois.ac.jp/en/research/coop.html
Liaison and Planning Division Phone: +81-3-6402-6211 E-mail: kenkyo@rois.ac.jp10  

Information Dissemination/Data Types
Exhibits
The NIG Genetics Museum features displays of various
historical documents that show the development ofgenetics and life sciences, including a first edition of
Darwin’s Origin of Species.
The ISM Historical Computers Exhibit Hall features
displays of many rare instruments, including a hardware
random number generator that has been designatedas an information processing heritage object by the
Information Processing Society of Japan.

The NIG Genetics Museum

The ISM Historical Computers Exhibit Hall

https://sr.rois ac.jp/en/article/index.html

https://www.rois.ac jp/en/index.html

Science Report
ROIS head office maintains a Science Report website thatprovides easy-to-understand reports on ongoing research
activities.
The Japanese website of ROIS is currently running aseries called “100 News Stories!” that features videos
of research accomplishments and provides teachingmaterials. Some of them are also available in English.
https://www.rois.ac.jp/contents/theme.html.

Polar Science Museum
Located next to NIPR, the Polar Science Museum is home to the Aurora Theatre,
which offers visitors the opportunity to experience full-dome aurora films, Antarctic
meteorites, and mounted specimens (polar bears, penguins, etc.), and to learn
about polar research and observation.

Income and Expenditures (FY2021)

Donations
Graduate education fee
Contracted project fee

Indirect costs coveredby Grants-in-Aid for Scientific Research
418

Unit: JPY 1 million (truncation)

Costs associated with contract research
2,265

Joint research fee
769

Breakdown of organizations to which joint researchers belong

439

194

Self-income
305

21

Facility
development
subsidies

Breakdown of
special-purpose
reserve funds
166

4,173

Income fromsubsidiesand the like.

Research expenses related toindustry-academia collaborationand donation program expenses
3,691

IncomeExpenditures

31,9403,499

Operating expense grants
20,870InterUniversity
Research
Institutes

PrivatePublicInstitutions
Foreign
Institutions
andOrganizations
the like

Head Oﬃce

7

8

1

1

2

0

0

4

NIPR

191

1,144

726

112

33

182

58

33
5

NII

93

383

272

79

10

13

4

ISM

274

938

473

270

10

115

61

9

NIG

105

371

219

77

8

20

7

40

ROIS-DS

75

133

63

33

1

15

8

13

Total

474*

2,977

1,754

572

64

345

138

104

* Duplicates are excluded.
Subsidiesand the like.
3,499

2,903

NumberNational
NumberofandPrivateof
joint
PublicUniversities
institutions researchers Universities

88

Income from industry-academia collaboration, donations, etc. 4,173

Grants for facilities fromthe National Institution
for Academic Degrees andQuality Enhancementof Higher Education

Number of Institutions and Joint Researchers Enrolled
in Joint Research Project (FY2021)

31,291

Facility
maintenance
costs
2,924

Operational expenses
21,175Students at SOKENDAI, the Graduate University for
Advanced Studies (FY2021)
Schools
School ofMultidisciplinary
Sciences
School of Life Science

Departments

Parent Institutes Number of students

Number ofacademic
degrees granted

Polar Science

NIPR

19

（1）

2

Informatics

NII

97

（53）

16

Statistical Science

ISM

39

（2）

7

Genetics

NIG

39

（22）

3

194

（78）

28

Total

※The number of students as of May 1.
※The number in brackets is the number of international students.

11❶ Inter-University Research Institute Corporation

Research Organization of Information and Systems
ROIS Head Office
Hulic Kamiyacho Bldg. 2F, 4-3-13, Toranomon, Minato-ku,
Tokyo 105-0001, Japan
https://www.rois.ac.jp/en/❷ National Institute of Polar Research

10-3, Midori-cho, Tachikawa, Tokyo 190-8518, Japan
https://www.nipr.ac.jp/english/❸ National Institute of Informatics

2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430, Japan
https://www.nii.ac.jp/en/❹ The Institute of Statistical Mathematics

10-3 Midori-cho, Tachikawa, Tokyo 190-8562, Japan
https://www.ism.ac.jp/index_e.html❺ National Institute of Genetics

1111 Yata, Mishima, Shizuoka 411-8540, Japan
https://www.nig.ac.jp/nig/❻ Joint Support-Center for Data Science Research

Data Science Building, 10-3 Midori-cho, Tachikawa,Tokyo 190-0014, Japan
https://ds.rois.ac.jp/en/

Saitama Prefecture●●●❷❹❻ Tokyo

Yamanashi
Prefecture

NII
Kashiwa Annex

❸
●
●
❶

Kanagawa Prefecture
ShizuokaPrefecture

Chiba
Prefecture●❺

The Arctic
NIPR
Syowa Station
NIPR
Ny-Ålesund Research Station
NIPR
Dome Fuji Station

The Antarctic

https://www.rois.ac.jp/en/
Phone: +81-3-6402-6200
brochure 202310