DIRISA aims to build a national data infrastructure in South Africa with tiered data services. It will maintain Tier 1 data nodes with 8PB of storage and provide research data management services. DIRISA also focuses on developing skills through training programs. Its goals are to support open data and open science by enabling data preservation, sharing and processing in a reliable and controlled manner.

1. DIRISA for Open Data and
Open Science
SA-EU Open Science Dialogue Project
15 May 2018

2. National Integrated Cyberinfrastructure System
National Integrated
Cyberinfrastructure System
(NICIS)
• Advanced Integrated cyber
platform offering services for
• HPC
• Data
• Networking
• Priority science and
education
• Overarching coordination
implemented by CSIR
© CSIR, 2018 2
Core
services
Networked
resources
Skills&expertise
Computing
Services
(CHPC +)
Networking
Services
(SANReN)
Data
Services
(DIRISA)
e-Research environments (Cloud)
Materials & Manuf.
Energy
Earth & Environment
Phy Sci & Eng.
Humans & Society
Health, Bio & Food

3. DIRISA Objectives
3
Build national data infrastructure
• Build and maintain Tier 1 nodes and services
• Start Tier 2 domain nodes
Develop human capital and skills
• e-Science postgraduate programs
• Conferences and training workshops
Research data
management
• DMP tool
• PID service
• User policies
and practices
Advocate and
coordinate
• R&D initiatives
• Stakeholder
workshops
© CSIR, 2018

4. National Data Infrastructure
© CSIR, 2018 4
• “I just want to store/preserve my data (reliably)”
• “I just want to share my data (in a controlled way)”
• “I just want to process my data”
• NICIS-DIRISA role:
• Link into Tier 0
• Build and maintain Tier 1
• Support starting up Tier 2
• Link into Tier 3
One-Stop-Shop:
Federated access to
research data

5. Underpinning Open Data & Open Science
© CSIR, 2018 5
1. National infrastructure and services for Open data
• DIRISA Tier 1 (8PB) store & Research Data Management services
• Regional Tier 2 Node
2. Human capital development
• National e-Science Masters
• Data Science training
3. Data management
• PID Allocation: Handle and DOI registries
• SA_DMP: SA Data Management Planning tool
• Policies across data life cycle
4. Outreach and coordination
• Conferences and workshops: SA Data Conference 19-21 June
• Africa Open Science Platform
• Big Data strategy

6. © CSIR, 2018 6
South African National Data Infrastructure (SANDI)
DSubscribe
• Subscribe
as DIRISA
user
DataDrop
• Deposit
and store
data
reliably
FindGet
• Discover,
download
data sets
SafeShare
• Safely
share data
with users
DataStage
• Prepare
data for
HPC
User documentation Help & support Core services (DMP, PID)
Phase1: Research Data Management
• My data
management plans
• My workflows
• My data sets and
outputs
• My communities
Phase2:
Collaborative
Research
Environments
(References: EUDAT, ANDS, JISC, Data.gov)

7. Data Access Spectrum: Open by default
7
Small – Medium – Big data
Personal – Business – Government
Closed Shared Open
Internal access
• Private
• Confidential
• Sensitive
• Surveillance data
Named access
• Assigned by
contract
• Regulation
authorised
• Drivers licences
Group based
access
• Project assigned
• Selected
membership
• Genomic data
Public access
• Licence that
limits use
• Terms and
conditions
• Geospatial data
Anyone
• Open to public
• No limits on use
• Weather data
(ODI)

8. Actions
Data custodians/stewards: individuals; institutions; groups/consortia;
government; business
• Advocate and promote: Increase visibility and benefits of open data
• Clarify Open data and related concepts: Governance, Stewardship,
Custodianship, IP, Copyright,…
• Change accreditation model: data citation recognition, altmetrics, etc
• Develop policies: institutional strategies, standards, protocols, principles
and recommended practices
• Change training: Include Open data concepts in (data) science curricula
• Funding model: incentives/requirements for Open data principles
• Harmonise privacy and openness regulation
© CSIR, 2018 8

9. Beyond FAIR
• FAIR: Findable, Accessible, Interoperable, Reusable
• FAIReR: FAIR + Reproducible
• FAIReST: FAIR + Stewardship + Transparency (truth
and trust)
[Liz Lyon, University of Pittsburgh]
Open Science => New roles…
© CSIR, 2018 9

10. Thank you
© CSIR, 2018 10
www.dirisa.ac.za
dirisa@csir.co.za

11. © CSIR, 2018 11

12. © CSIR, 2018 12

13. Accelerating Data Intensive Research
© CSIR, 2018 13
“We need to get greater value (benefit, impact)
from our investments in data”

14. Architecture
© CSIR, 2018 14
• Open (FAIR) Data &
Open Science
• Federated locally and
globally (“One-stop-
shop” catalogue)
• Certified as Trusted
Repository
• Linked to funder systems
• Suite of services for RDM
and data intensive
analytics
40 PB
2 PB
Archival data & staging:
VM access
8 PB
Active data: near real time
interactive access
0.5
PB
Services & staging
between DIRISA and CHPC
storage systems
Storage
Virtualisation
ServerCHPC Lustre or
Posix storage
systems
CHPC
compute
systems
* PB
Software defined storage hierarchySmall, fast Big, slow
iRODS
DIRISA cloud portal