SlideShare a Scribd company logo
New Zealand eScience Infrastructure
New Zealand eScience Infrastructure
Moemoea nui Aotearoa:
Challenges and Strategies in Data Lifecycle Management in New
Zealand
Claire Rye, Product Manager Data Services, New Zealand eScience Infrastructure
New Zealand eScience Infrastructure
New Zealand eScience Infrastructure
2
Matariki in the night sky.
Photo courtesy of Fraser Gunn
www.astroimage.co.nz
Matariki
New Zealand eScience Infrastructure
New Zealand eScience Infrastructure
Matariki touches us all
3
The stolen stars of Matariki
Published 2018, Scholastic New Zealand
New Zealand eScience Infrastructure
New Zealand eScience Infrastructure
Matariki touches us all
4
Matariki in the night sky.
Photo courtesy Mark Russell
https://www.stuff.co.nz/travel/experiences/maori-culture/300361917/my-first-matariki-celebrating-mori-new-year-at-the-bay-of-islands-new-festival?rm=a
“I see this day as a chance to move the understanding of
mātauranga Māori beyond the idea that it’s mainly stories
about deities.
Our knowledge systems are still so often seen as “myths and
legends”, as if they’re devoid of proper science. But there is
empirical science that sits at the heart of mātauranga Māori.”
Professor Rangi Matamua
Quote from: How Matariki will connect us all
https://e-tangata.co.nz/comment-and-analysis/how-matariki-will-connect-us-all/
New Zealand eScience Infrastructure
New Zealand eScience Infrastructure
○
5
https://www.mbie.govt.nz/science-and-technology/science-and-innovation/research-and-data/te-ara-paerangi-future-pathways/
New Zealand eScience Infrastructure
New Zealand eScience Infrastructure
New Zealand eScience Infrastructure
New Zealand eScience Infrastructure
New Zealand eScience Infrastructure
799 TB 72 million 5,597
Amount of data transferred Number of files transferred Number of transfers made
Globus benefits:
High-speed data transfer
● Move gigabits of data on a network 1,000 times faster than broadband
Internet. Powered by REANNZ (NZ’s national advanced network provider),
research data transfers can be done at 10Gbps.
Secure and easy data sharing
● Share your research data with collaborators locally, nationally, and around
the world. Control who has access using group management tools.
Research data delivery network
● Take advantage of our partnering institutions across NZ who have existing
data delivery network nodes. Transfer to and from any laptop or server
using a Globus connect endpoint.
National data transfer platform activities in 2021:
Live
Coming soon
Testing
New Zealand eScience Infrastructure
New Zealand eScience Infrastructure
Our big numbers are small
CERN’s computer centre (Image: Maximilien Brice;
Claudia Marcelloni/CERN)
Globus global figures
New Zealand eScience Infrastructure
New Zealand eScience Infrastructure
Aotearoa Genomic Data Repository
Data Repository for Taonga Species
Co-designing genomics projects with Māori and
ensuring Māori data sovereignty.
New Zealand eScience Infrastructure
New Zealand eScience Infrastructure
What does co-design mean?
Co-design is the act of creating with stakeholders, users, the community,
specifically within the design development process to ensure the results meet
their needs and are usable.
Genuine desire to take on board and incorporate the ideas and perspectives of
the stakeholders, users and community.
Why is it important?
● It’s the right thing to do
● Te Tiriti obligations
● Ensure culturally appropriate genomics studies
● Deliver benefits to Māori from genomics
● New ideas and perspectives bring innovation
● History of exploitation rather than collaboration
New Zealand eScience Infrastructure
New Zealand eScience Infrastructure
No repository for NZ genomic data of any kind.
● Researchers would host their own data or
would put it in overseas repositories e.g.
ENA, GenBank
○ No way to know what/where all the “NZ
genomic data” was
○ No metadata standard
○ Neither result allowed for any kind of
governance of the data
The situation:
Aotearoa
Genomic Data
Repository
New Zealand eScience Infrastructure
New Zealand eScience Infrastructure
What did co-design look like for us?
● Workshops
○ Indigenous governance, ethical frameworks
○ Metadata
○ End usability
● Weekly review with the working group
● Case studies
○ Learning about metadata requirements on different types of research
https://www.waikato.ac.nz/__data/assets/pdf_file/0018/321534/Te-Mata-Ira-Genome-Research-Guidelines.
https://www.gida-global.org/care
New Zealand eScience Infrastructure
New Zealand eScience Infrastructure
Māori data sovereignty
Māori Data Sovereignty refers to the inherent rights and interests Māori,
whānau, hapū, iwi and Māori organisations have in relation to the creation,
collection, access, analysis, interpretation, management, dissemination, re-use,
and control of data relating to Māori, whānau, hapū, iwi and Māori organisations
as guaranteed in Article II of Te Tiriti/Treaty of Waitangi (Taiuru, K. 2020).
Taiuru, Karaitiana (2020. Māori Data Ethical Framework https://www.taiuru.maori.nz/tiritiethicalguide/Māori-data-ethical-framework/
New Zealand eScience Infrastructure
New Zealand eScience Infrastructure
Whakapapa
Whakapapa is a key reference point for Māori when
talking about health and genetics. Whakapapa was
described as the connection between people and as
creating a responsibility for both future and past
generations. Whakapapa is often used as a framework
to describe genealogy, social and ecological
relationships, cultural histories, family traits and
ancestral inheritances. At a physical and spiritual level,
whakapapa is embodied within the DNA of a person;
therefore, the storage and use of human tissue for
research becomes a culturally significant activity.
Te Mata Ira—Faces of the
Gene
Developing a cultural
foundation for biobanking
and genomic research
involving Māori
M. Hudson et al.
New Zealand eScience Infrastructure
New Zealand eScience Infrastructure
○ AGDR
https://data.agdr.org.nz/
16
New Zealand eScience Infrastructure
New Zealand eScience Infrastructure
New Zealand eScience Infrastructure
New Zealand eScience Infrastructure
New Zealand eScience Infrastructure
New Zealand eScience Infrastructure
Kaitiakitanga
Kaitiakitanga is a form of guardianship with
responsibility to look after specific resources. In the
context of genomic research it relates to the use of
samples, DNA and data (genome data, clinical data, and
information about whakapapa). It is important to clarify
who holds the role of kaitiaki within the research team
and the community, and that they are aware of the
responsibilities of that position to maintain ‘te hau o te
taonga’.
New Zealand eScience Infrastructure
New Zealand eScience Infrastructure
Sharing genomic data via Globus
20
New Zealand eScience Infrastructure
New Zealand eScience Infrastructure
New Zealand eScience Infrastructure
New Zealand eScience Infrastructure
Aotearoa Genomic Data Repository
● More submissions
● Improvements based on feedback
● Finding Kaitaki for projects
without Māori engagement
Rakeiora Project
The Rakeiora Project a programme to improve genomic knowledge
that will impact on the wellbeing of New Zealanders is being
co-developed and co-governed with Māori. It is a “pathfinder” to
test options to acquire, protect, use and store genomic datasets for
use in healthcare research in Aotearoa New Zealand.
What’s next?
Dr Huti Watson’s slide, Rakeiora keynote,
eResearch conference 2022
New Zealand eScience Infrastructure
● Genomics Aotearoa data repository group
○ Mik Black - University of Otago
○ Ben Te Aika - GA Vision Mātauranga Coordinator
○ Rudi Brauning - AgResearch
○ Libby Liggins - Massey University
○ Miles Benton - ESR
○ Ben Curran - University of Auckland
● NeSI development team
○ Eiran Perkins
○ Jun Huh
○ Brian Flaherty
The AGDR Team
New Zealand eScience Infrastructure
New Zealand eScience Infrastructure
New Zealand eScience Infrastructure
New Zealand eScience Infrastructure
www.nesi.org.nz
@NeSI_NZ
https://data.agdr.org.nz/
https://www.nesi.org.nz/apply
support@nesi.org.nz
Thanks for listening

More Related Content

Similar to Moemoea nui Aotearoa: Challenges and Strategies in Data Lifecycle Management in New Zealand

Presentation for community GIS workshops
Presentation for community GIS workshopsPresentation for community GIS workshops
Presentation for community GIS workshops
ECO-NZ
 
SGCI Science Gateways: Harnessing Big Data and Open Data 03-19-2017
SGCI Science Gateways: Harnessing Big Data and Open Data 03-19-2017SGCI Science Gateways: Harnessing Big Data and Open Data 03-19-2017
SGCI Science Gateways: Harnessing Big Data and Open Data 03-19-2017
Sandra Gesing
 
The current challenges of upgrading the infrastructure
The current challenges of upgrading the infrastructureThe current challenges of upgrading the infrastructure
The current challenges of upgrading the infrastructure
Arhiv družboslovnih podatkov
 
Data as a research output and a research asset: the case for Open Science/Sim...
Data as a research output and a research asset: the case for Open Science/Sim...Data as a research output and a research asset: the case for Open Science/Sim...
Data as a research output and a research asset: the case for Open Science/Sim...
African Open Science Platform
 
A coordinated framework for open data open science in Botswana/Simon Hodson
A coordinated framework for open data open science in Botswana/Simon HodsonA coordinated framework for open data open science in Botswana/Simon Hodson
A coordinated framework for open data open science in Botswana/Simon Hodson
African Open Science Platform
 
Open for all – the benefits of open data in a digital age_Thorley
Open for all – the benefits of open data in a digital age_ThorleyOpen for all – the benefits of open data in a digital age_Thorley
Open for all – the benefits of open data in a digital age_Thorley
Platforma Otwartej Nauki
 
Open FAIR Data and Open Science: Developing Partnerships, Strategies, Policie...
Open FAIR Data and Open Science: Developing Partnerships, Strategies, Policie...Open FAIR Data and Open Science: Developing Partnerships, Strategies, Policie...
Open FAIR Data and Open Science: Developing Partnerships, Strategies, Policie...
Academy of Science of South Africa (ASSAf)
 
Open Data Platform Project
Open Data Platform ProjectOpen Data Platform Project
Open Data Platform Project
gyleodhis
 
Collaborating across institutional andjurisdictional boundar.docx
Collaborating across institutional andjurisdictional boundar.docxCollaborating across institutional andjurisdictional boundar.docx
Collaborating across institutional andjurisdictional boundar.docx
pickersgillkayne
 
A VIVO VIEW OF CANCER RESEARCH: Dream, Vision and Reality
A VIVO VIEW OF CANCER RESEARCH: Dream, Vision and RealityA VIVO VIEW OF CANCER RESEARCH: Dream, Vision and Reality
A VIVO VIEW OF CANCER RESEARCH: Dream, Vision and Reality
Paul Courtney
 
2021-01-27--biodiversity-informatics-gbif-(52slides)
2021-01-27--biodiversity-informatics-gbif-(52slides)2021-01-27--biodiversity-informatics-gbif-(52slides)
2021-01-27--biodiversity-informatics-gbif-(52slides)
Dag Endresen
 
ELIXIR
ELIXIRELIXIR
Locus charter Presentation Norwegian Map Conference Nov 2021
Locus charter Presentation Norwegian Map Conference Nov 2021Locus charter Presentation Norwegian Map Conference Nov 2021
Locus charter Presentation Norwegian Map Conference Nov 2021
PLACE
 
NeCTAR Presentation
NeCTAR PresentationNeCTAR Presentation
NeCTAR Presentation
Cybera Inc.
 
I o dav data workshop prof wafula final 19.9.17
I o dav data workshop prof wafula final 19.9.17I o dav data workshop prof wafula final 19.9.17
I o dav data workshop prof wafula final 19.9.17
Tom Nyongesa
 
Research data lifecycle diagram
Research data lifecycle diagramResearch data lifecycle diagram
Research data lifecycle diagramSteven Cracknell
 
Why Open Science Matters to Libraries/Ina Smith
Why Open Science Matters to Libraries/Ina SmithWhy Open Science Matters to Libraries/Ina Smith
Why Open Science Matters to Libraries/Ina Smith
African Open Science Platform
 
ANDS health and medical data webinar 16 May. Storing and Publishing Health an...
ANDS health and medical data webinar 16 May. Storing and Publishing Health an...ANDS health and medical data webinar 16 May. Storing and Publishing Health an...
ANDS health and medical data webinar 16 May. Storing and Publishing Health an...
ARDC
 
Information entanglement
Information entanglementInformation entanglement
Information entanglement
Willard Van De Bogart
 
Pros and Cons of Open Data: A Global South Perspective
Pros and Cons of Open Data: A Global South PerspectivePros and Cons of Open Data: A Global South Perspective
Pros and Cons of Open Data: A Global South Perspective
Michelle Willmers
 

Similar to Moemoea nui Aotearoa: Challenges and Strategies in Data Lifecycle Management in New Zealand (20)

Presentation for community GIS workshops
Presentation for community GIS workshopsPresentation for community GIS workshops
Presentation for community GIS workshops
 
SGCI Science Gateways: Harnessing Big Data and Open Data 03-19-2017
SGCI Science Gateways: Harnessing Big Data and Open Data 03-19-2017SGCI Science Gateways: Harnessing Big Data and Open Data 03-19-2017
SGCI Science Gateways: Harnessing Big Data and Open Data 03-19-2017
 
The current challenges of upgrading the infrastructure
The current challenges of upgrading the infrastructureThe current challenges of upgrading the infrastructure
The current challenges of upgrading the infrastructure
 
Data as a research output and a research asset: the case for Open Science/Sim...
Data as a research output and a research asset: the case for Open Science/Sim...Data as a research output and a research asset: the case for Open Science/Sim...
Data as a research output and a research asset: the case for Open Science/Sim...
 
A coordinated framework for open data open science in Botswana/Simon Hodson
A coordinated framework for open data open science in Botswana/Simon HodsonA coordinated framework for open data open science in Botswana/Simon Hodson
A coordinated framework for open data open science in Botswana/Simon Hodson
 
Open for all – the benefits of open data in a digital age_Thorley
Open for all – the benefits of open data in a digital age_ThorleyOpen for all – the benefits of open data in a digital age_Thorley
Open for all – the benefits of open data in a digital age_Thorley
 
Open FAIR Data and Open Science: Developing Partnerships, Strategies, Policie...
Open FAIR Data and Open Science: Developing Partnerships, Strategies, Policie...Open FAIR Data and Open Science: Developing Partnerships, Strategies, Policie...
Open FAIR Data and Open Science: Developing Partnerships, Strategies, Policie...
 
Open Data Platform Project
Open Data Platform ProjectOpen Data Platform Project
Open Data Platform Project
 
Collaborating across institutional andjurisdictional boundar.docx
Collaborating across institutional andjurisdictional boundar.docxCollaborating across institutional andjurisdictional boundar.docx
Collaborating across institutional andjurisdictional boundar.docx
 
A VIVO VIEW OF CANCER RESEARCH: Dream, Vision and Reality
A VIVO VIEW OF CANCER RESEARCH: Dream, Vision and RealityA VIVO VIEW OF CANCER RESEARCH: Dream, Vision and Reality
A VIVO VIEW OF CANCER RESEARCH: Dream, Vision and Reality
 
2021-01-27--biodiversity-informatics-gbif-(52slides)
2021-01-27--biodiversity-informatics-gbif-(52slides)2021-01-27--biodiversity-informatics-gbif-(52slides)
2021-01-27--biodiversity-informatics-gbif-(52slides)
 
ELIXIR
ELIXIRELIXIR
ELIXIR
 
Locus charter Presentation Norwegian Map Conference Nov 2021
Locus charter Presentation Norwegian Map Conference Nov 2021Locus charter Presentation Norwegian Map Conference Nov 2021
Locus charter Presentation Norwegian Map Conference Nov 2021
 
NeCTAR Presentation
NeCTAR PresentationNeCTAR Presentation
NeCTAR Presentation
 
I o dav data workshop prof wafula final 19.9.17
I o dav data workshop prof wafula final 19.9.17I o dav data workshop prof wafula final 19.9.17
I o dav data workshop prof wafula final 19.9.17
 
Research data lifecycle diagram
Research data lifecycle diagramResearch data lifecycle diagram
Research data lifecycle diagram
 
Why Open Science Matters to Libraries/Ina Smith
Why Open Science Matters to Libraries/Ina SmithWhy Open Science Matters to Libraries/Ina Smith
Why Open Science Matters to Libraries/Ina Smith
 
ANDS health and medical data webinar 16 May. Storing and Publishing Health an...
ANDS health and medical data webinar 16 May. Storing and Publishing Health an...ANDS health and medical data webinar 16 May. Storing and Publishing Health an...
ANDS health and medical data webinar 16 May. Storing and Publishing Health an...
 
Information entanglement
Information entanglementInformation entanglement
Information entanglement
 
Pros and Cons of Open Data: A Global South Perspective
Pros and Cons of Open Data: A Global South PerspectivePros and Cons of Open Data: A Global South Perspective
Pros and Cons of Open Data: A Global South Perspective
 

More from Globus

Globus Compute wth IRI Workflows - GlobusWorld 2024
Globus Compute wth IRI Workflows - GlobusWorld 2024Globus Compute wth IRI Workflows - GlobusWorld 2024
Globus Compute wth IRI Workflows - GlobusWorld 2024
Globus
 
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...
Globus
 
Globus Compute Introduction - GlobusWorld 2024
Globus Compute Introduction - GlobusWorld 2024Globus Compute Introduction - GlobusWorld 2024
Globus Compute Introduction - GlobusWorld 2024
Globus
 
Globus Connect Server Deep Dive - GlobusWorld 2024
Globus Connect Server Deep Dive - GlobusWorld 2024Globus Connect Server Deep Dive - GlobusWorld 2024
Globus Connect Server Deep Dive - GlobusWorld 2024
Globus
 
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...
Globus
 
Providing Globus Services to Users of JASMIN for Environmental Data Analysis
Providing Globus Services to Users of JASMIN for Environmental Data AnalysisProviding Globus Services to Users of JASMIN for Environmental Data Analysis
Providing Globus Services to Users of JASMIN for Environmental Data Analysis
Globus
 
First Steps with Globus Compute Multi-User Endpoints
First Steps with Globus Compute Multi-User EndpointsFirst Steps with Globus Compute Multi-User Endpoints
First Steps with Globus Compute Multi-User Endpoints
Globus
 
Enhancing Research Orchestration Capabilities at ORNL.pdf
Enhancing Research Orchestration Capabilities at ORNL.pdfEnhancing Research Orchestration Capabilities at ORNL.pdf
Enhancing Research Orchestration Capabilities at ORNL.pdf
Globus
 
Understanding Globus Data Transfers with NetSage
Understanding Globus Data Transfers with NetSageUnderstanding Globus Data Transfers with NetSage
Understanding Globus Data Transfers with NetSage
Globus
 
How to Position Your Globus Data Portal for Success Ten Good Practices
How to Position Your Globus Data Portal for Success Ten Good PracticesHow to Position Your Globus Data Portal for Success Ten Good Practices
How to Position Your Globus Data Portal for Success Ten Good Practices
Globus
 
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...
Globus
 
Developing Distributed High-performance Computing Capabilities of an Open Sci...
Developing Distributed High-performance Computing Capabilities of an Open Sci...Developing Distributed High-performance Computing Capabilities of an Open Sci...
Developing Distributed High-performance Computing Capabilities of an Open Sci...
Globus
 
The Department of Energy's Integrated Research Infrastructure (IRI)
The Department of Energy's Integrated Research Infrastructure (IRI)The Department of Energy's Integrated Research Infrastructure (IRI)
The Department of Energy's Integrated Research Infrastructure (IRI)
Globus
 
GlobusWorld 2024 Opening Keynote session
GlobusWorld 2024 Opening Keynote sessionGlobusWorld 2024 Opening Keynote session
GlobusWorld 2024 Opening Keynote session
Globus
 
Enhancing Performance with Globus and the Science DMZ
Enhancing Performance with Globus and the Science DMZEnhancing Performance with Globus and the Science DMZ
Enhancing Performance with Globus and the Science DMZ
Globus
 
Extending Globus into a Site-wide Automated Data Infrastructure.pdf
Extending Globus into a Site-wide Automated Data Infrastructure.pdfExtending Globus into a Site-wide Automated Data Infrastructure.pdf
Extending Globus into a Site-wide Automated Data Infrastructure.pdf
Globus
 
Globus at the United States Geological Survey
Globus at the United States Geological SurveyGlobus at the United States Geological Survey
Globus at the United States Geological Survey
Globus
 
Providing Globus Services to Users of JASMIN for Environmental Data Analysis
Providing Globus Services to Users of JASMIN for Environmental Data AnalysisProviding Globus Services to Users of JASMIN for Environmental Data Analysis
Providing Globus Services to Users of JASMIN for Environmental Data Analysis
Globus
 
Globus Compute with Integrated Research Infrastructure (IRI) workflows
Globus Compute with Integrated Research Infrastructure (IRI) workflowsGlobus Compute with Integrated Research Infrastructure (IRI) workflows
Globus Compute with Integrated Research Infrastructure (IRI) workflows
Globus
 
Reactive Documents and Computational Pipelines - Bridging the Gap
Reactive Documents and Computational Pipelines - Bridging the GapReactive Documents and Computational Pipelines - Bridging the Gap
Reactive Documents and Computational Pipelines - Bridging the Gap
Globus
 

More from Globus (20)

Globus Compute wth IRI Workflows - GlobusWorld 2024
Globus Compute wth IRI Workflows - GlobusWorld 2024Globus Compute wth IRI Workflows - GlobusWorld 2024
Globus Compute wth IRI Workflows - GlobusWorld 2024
 
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...
 
Globus Compute Introduction - GlobusWorld 2024
Globus Compute Introduction - GlobusWorld 2024Globus Compute Introduction - GlobusWorld 2024
Globus Compute Introduction - GlobusWorld 2024
 
Globus Connect Server Deep Dive - GlobusWorld 2024
Globus Connect Server Deep Dive - GlobusWorld 2024Globus Connect Server Deep Dive - GlobusWorld 2024
Globus Connect Server Deep Dive - GlobusWorld 2024
 
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...
 
Providing Globus Services to Users of JASMIN for Environmental Data Analysis
Providing Globus Services to Users of JASMIN for Environmental Data AnalysisProviding Globus Services to Users of JASMIN for Environmental Data Analysis
Providing Globus Services to Users of JASMIN for Environmental Data Analysis
 
First Steps with Globus Compute Multi-User Endpoints
First Steps with Globus Compute Multi-User EndpointsFirst Steps with Globus Compute Multi-User Endpoints
First Steps with Globus Compute Multi-User Endpoints
 
Enhancing Research Orchestration Capabilities at ORNL.pdf
Enhancing Research Orchestration Capabilities at ORNL.pdfEnhancing Research Orchestration Capabilities at ORNL.pdf
Enhancing Research Orchestration Capabilities at ORNL.pdf
 
Understanding Globus Data Transfers with NetSage
Understanding Globus Data Transfers with NetSageUnderstanding Globus Data Transfers with NetSage
Understanding Globus Data Transfers with NetSage
 
How to Position Your Globus Data Portal for Success Ten Good Practices
How to Position Your Globus Data Portal for Success Ten Good PracticesHow to Position Your Globus Data Portal for Success Ten Good Practices
How to Position Your Globus Data Portal for Success Ten Good Practices
 
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...
 
Developing Distributed High-performance Computing Capabilities of an Open Sci...
Developing Distributed High-performance Computing Capabilities of an Open Sci...Developing Distributed High-performance Computing Capabilities of an Open Sci...
Developing Distributed High-performance Computing Capabilities of an Open Sci...
 
The Department of Energy's Integrated Research Infrastructure (IRI)
The Department of Energy's Integrated Research Infrastructure (IRI)The Department of Energy's Integrated Research Infrastructure (IRI)
The Department of Energy's Integrated Research Infrastructure (IRI)
 
GlobusWorld 2024 Opening Keynote session
GlobusWorld 2024 Opening Keynote sessionGlobusWorld 2024 Opening Keynote session
GlobusWorld 2024 Opening Keynote session
 
Enhancing Performance with Globus and the Science DMZ
Enhancing Performance with Globus and the Science DMZEnhancing Performance with Globus and the Science DMZ
Enhancing Performance with Globus and the Science DMZ
 
Extending Globus into a Site-wide Automated Data Infrastructure.pdf
Extending Globus into a Site-wide Automated Data Infrastructure.pdfExtending Globus into a Site-wide Automated Data Infrastructure.pdf
Extending Globus into a Site-wide Automated Data Infrastructure.pdf
 
Globus at the United States Geological Survey
Globus at the United States Geological SurveyGlobus at the United States Geological Survey
Globus at the United States Geological Survey
 
Providing Globus Services to Users of JASMIN for Environmental Data Analysis
Providing Globus Services to Users of JASMIN for Environmental Data AnalysisProviding Globus Services to Users of JASMIN for Environmental Data Analysis
Providing Globus Services to Users of JASMIN for Environmental Data Analysis
 
Globus Compute with Integrated Research Infrastructure (IRI) workflows
Globus Compute with Integrated Research Infrastructure (IRI) workflowsGlobus Compute with Integrated Research Infrastructure (IRI) workflows
Globus Compute with Integrated Research Infrastructure (IRI) workflows
 
Reactive Documents and Computational Pipelines - Bridging the Gap
Reactive Documents and Computational Pipelines - Bridging the GapReactive Documents and Computational Pipelines - Bridging the Gap
Reactive Documents and Computational Pipelines - Bridging the Gap
 

Recently uploaded

Prosigns: Transforming Business with Tailored Technology Solutions
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns: Transforming Business with Tailored Technology Solutions
Prosigns: Transforming Business with Tailored Technology Solutions
Prosigns
 
APIs for Browser Automation (MoT Meetup 2024)
APIs for Browser Automation (MoT Meetup 2024)APIs for Browser Automation (MoT Meetup 2024)
APIs for Browser Automation (MoT Meetup 2024)
Boni García
 
Quarkus Hidden and Forbidden Extensions
Quarkus Hidden and Forbidden ExtensionsQuarkus Hidden and Forbidden Extensions
Quarkus Hidden and Forbidden Extensions
Max Andersen
 
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...
Juraj Vysvader
 
Enterprise Resource Planning System in Telangana
Enterprise Resource Planning System in TelanganaEnterprise Resource Planning System in Telangana
Enterprise Resource Planning System in Telangana
NYGGS Automation Suite
 
Utilocate provides Smarter, Better, Faster, Safer Locate Ticket Management
Utilocate provides Smarter, Better, Faster, Safer Locate Ticket ManagementUtilocate provides Smarter, Better, Faster, Safer Locate Ticket Management
Utilocate provides Smarter, Better, Faster, Safer Locate Ticket Management
Utilocate
 
Large Language Models and the End of Programming
Large Language Models and the End of ProgrammingLarge Language Models and the End of Programming
Large Language Models and the End of Programming
Matt Welsh
 
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteAI Pilot Review: The World’s First Virtual Assistant Marketing Suite
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
Google
 
Orion Context Broker introduction 20240604
Orion Context Broker introduction 20240604Orion Context Broker introduction 20240604
Orion Context Broker introduction 20240604
Fermin Galan
 
Navigating the Metaverse: A Journey into Virtual Evolution"
Navigating the Metaverse: A Journey into Virtual Evolution"Navigating the Metaverse: A Journey into Virtual Evolution"
Navigating the Metaverse: A Journey into Virtual Evolution"
Donna Lenk
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Safe Software
 
Cyaniclab : Software Development Agency Portfolio.pdf
Cyaniclab : Software Development Agency Portfolio.pdfCyaniclab : Software Development Agency Portfolio.pdf
Cyaniclab : Software Development Agency Portfolio.pdf
Cyanic lab
 
Cracking the code review at SpringIO 2024
Cracking the code review at SpringIO 2024Cracking the code review at SpringIO 2024
Cracking the code review at SpringIO 2024
Paco van Beckhoven
 
2024 RoOUG Security model for the cloud.pptx
2024 RoOUG Security model for the cloud.pptx2024 RoOUG Security model for the cloud.pptx
2024 RoOUG Security model for the cloud.pptx
Georgi Kodinov
 
Introduction to Pygame (Lecture 7 Python Game Development)
Introduction to Pygame (Lecture 7 Python Game Development)Introduction to Pygame (Lecture 7 Python Game Development)
Introduction to Pygame (Lecture 7 Python Game Development)
abdulrafaychaudhry
 
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptx
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxTop Features to Include in Your Winzo Clone App for Business Growth (4).pptx
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptx
rickgrimesss22
 
Beyond Event Sourcing - Embracing CRUD for Wix Platform - Java.IL
Beyond Event Sourcing - Embracing CRUD for Wix Platform - Java.ILBeyond Event Sourcing - Embracing CRUD for Wix Platform - Java.IL
Beyond Event Sourcing - Embracing CRUD for Wix Platform - Java.IL
Natan Silnitsky
 
Dominate Social Media with TubeTrivia AI’s Addictive Quiz Videos.pdf
Dominate Social Media with TubeTrivia AI’s Addictive Quiz Videos.pdfDominate Social Media with TubeTrivia AI’s Addictive Quiz Videos.pdf
Dominate Social Media with TubeTrivia AI’s Addictive Quiz Videos.pdf
AMB-Review
 
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoam
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamOpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoam
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoam
takuyayamamoto1800
 
Vitthal Shirke Java Microservices Resume.pdf
Vitthal Shirke Java Microservices Resume.pdfVitthal Shirke Java Microservices Resume.pdf
Vitthal Shirke Java Microservices Resume.pdf
Vitthal Shirke
 

Recently uploaded (20)

Prosigns: Transforming Business with Tailored Technology Solutions
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns: Transforming Business with Tailored Technology Solutions
Prosigns: Transforming Business with Tailored Technology Solutions
 
APIs for Browser Automation (MoT Meetup 2024)
APIs for Browser Automation (MoT Meetup 2024)APIs for Browser Automation (MoT Meetup 2024)
APIs for Browser Automation (MoT Meetup 2024)
 
Quarkus Hidden and Forbidden Extensions
Quarkus Hidden and Forbidden ExtensionsQuarkus Hidden and Forbidden Extensions
Quarkus Hidden and Forbidden Extensions
 
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...
 
Enterprise Resource Planning System in Telangana
Enterprise Resource Planning System in TelanganaEnterprise Resource Planning System in Telangana
Enterprise Resource Planning System in Telangana
 
Utilocate provides Smarter, Better, Faster, Safer Locate Ticket Management
Utilocate provides Smarter, Better, Faster, Safer Locate Ticket ManagementUtilocate provides Smarter, Better, Faster, Safer Locate Ticket Management
Utilocate provides Smarter, Better, Faster, Safer Locate Ticket Management
 
Large Language Models and the End of Programming
Large Language Models and the End of ProgrammingLarge Language Models and the End of Programming
Large Language Models and the End of Programming
 
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteAI Pilot Review: The World’s First Virtual Assistant Marketing Suite
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
 
Orion Context Broker introduction 20240604
Orion Context Broker introduction 20240604Orion Context Broker introduction 20240604
Orion Context Broker introduction 20240604
 
Navigating the Metaverse: A Journey into Virtual Evolution"
Navigating the Metaverse: A Journey into Virtual Evolution"Navigating the Metaverse: A Journey into Virtual Evolution"
Navigating the Metaverse: A Journey into Virtual Evolution"
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
 
Cyaniclab : Software Development Agency Portfolio.pdf
Cyaniclab : Software Development Agency Portfolio.pdfCyaniclab : Software Development Agency Portfolio.pdf
Cyaniclab : Software Development Agency Portfolio.pdf
 
Cracking the code review at SpringIO 2024
Cracking the code review at SpringIO 2024Cracking the code review at SpringIO 2024
Cracking the code review at SpringIO 2024
 
2024 RoOUG Security model for the cloud.pptx
2024 RoOUG Security model for the cloud.pptx2024 RoOUG Security model for the cloud.pptx
2024 RoOUG Security model for the cloud.pptx
 
Introduction to Pygame (Lecture 7 Python Game Development)
Introduction to Pygame (Lecture 7 Python Game Development)Introduction to Pygame (Lecture 7 Python Game Development)
Introduction to Pygame (Lecture 7 Python Game Development)
 
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptx
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxTop Features to Include in Your Winzo Clone App for Business Growth (4).pptx
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptx
 
Beyond Event Sourcing - Embracing CRUD for Wix Platform - Java.IL
Beyond Event Sourcing - Embracing CRUD for Wix Platform - Java.ILBeyond Event Sourcing - Embracing CRUD for Wix Platform - Java.IL
Beyond Event Sourcing - Embracing CRUD for Wix Platform - Java.IL
 
Dominate Social Media with TubeTrivia AI’s Addictive Quiz Videos.pdf
Dominate Social Media with TubeTrivia AI’s Addictive Quiz Videos.pdfDominate Social Media with TubeTrivia AI’s Addictive Quiz Videos.pdf
Dominate Social Media with TubeTrivia AI’s Addictive Quiz Videos.pdf
 
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoam
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamOpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoam
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoam
 
Vitthal Shirke Java Microservices Resume.pdf
Vitthal Shirke Java Microservices Resume.pdfVitthal Shirke Java Microservices Resume.pdf
Vitthal Shirke Java Microservices Resume.pdf
 

Moemoea nui Aotearoa: Challenges and Strategies in Data Lifecycle Management in New Zealand

  • 1. New Zealand eScience Infrastructure New Zealand eScience Infrastructure Moemoea nui Aotearoa: Challenges and Strategies in Data Lifecycle Management in New Zealand Claire Rye, Product Manager Data Services, New Zealand eScience Infrastructure
  • 2. New Zealand eScience Infrastructure New Zealand eScience Infrastructure 2 Matariki in the night sky. Photo courtesy of Fraser Gunn www.astroimage.co.nz Matariki
  • 3. New Zealand eScience Infrastructure New Zealand eScience Infrastructure Matariki touches us all 3 The stolen stars of Matariki Published 2018, Scholastic New Zealand
  • 4. New Zealand eScience Infrastructure New Zealand eScience Infrastructure Matariki touches us all 4 Matariki in the night sky. Photo courtesy Mark Russell https://www.stuff.co.nz/travel/experiences/maori-culture/300361917/my-first-matariki-celebrating-mori-new-year-at-the-bay-of-islands-new-festival?rm=a “I see this day as a chance to move the understanding of mātauranga Māori beyond the idea that it’s mainly stories about deities. Our knowledge systems are still so often seen as “myths and legends”, as if they’re devoid of proper science. But there is empirical science that sits at the heart of mātauranga Māori.” Professor Rangi Matamua Quote from: How Matariki will connect us all https://e-tangata.co.nz/comment-and-analysis/how-matariki-will-connect-us-all/
  • 5. New Zealand eScience Infrastructure New Zealand eScience Infrastructure ○ 5 https://www.mbie.govt.nz/science-and-technology/science-and-innovation/research-and-data/te-ara-paerangi-future-pathways/
  • 6. New Zealand eScience Infrastructure
  • 7. New Zealand eScience Infrastructure New Zealand eScience Infrastructure
  • 8. New Zealand eScience Infrastructure New Zealand eScience Infrastructure 799 TB 72 million 5,597 Amount of data transferred Number of files transferred Number of transfers made Globus benefits: High-speed data transfer ● Move gigabits of data on a network 1,000 times faster than broadband Internet. Powered by REANNZ (NZ’s national advanced network provider), research data transfers can be done at 10Gbps. Secure and easy data sharing ● Share your research data with collaborators locally, nationally, and around the world. Control who has access using group management tools. Research data delivery network ● Take advantage of our partnering institutions across NZ who have existing data delivery network nodes. Transfer to and from any laptop or server using a Globus connect endpoint. National data transfer platform activities in 2021: Live Coming soon Testing
  • 9. New Zealand eScience Infrastructure New Zealand eScience Infrastructure Our big numbers are small CERN’s computer centre (Image: Maximilien Brice; Claudia Marcelloni/CERN) Globus global figures
  • 10. New Zealand eScience Infrastructure New Zealand eScience Infrastructure Aotearoa Genomic Data Repository Data Repository for Taonga Species Co-designing genomics projects with Māori and ensuring Māori data sovereignty.
  • 11. New Zealand eScience Infrastructure New Zealand eScience Infrastructure What does co-design mean? Co-design is the act of creating with stakeholders, users, the community, specifically within the design development process to ensure the results meet their needs and are usable. Genuine desire to take on board and incorporate the ideas and perspectives of the stakeholders, users and community. Why is it important? ● It’s the right thing to do ● Te Tiriti obligations ● Ensure culturally appropriate genomics studies ● Deliver benefits to Māori from genomics ● New ideas and perspectives bring innovation ● History of exploitation rather than collaboration
  • 12. New Zealand eScience Infrastructure New Zealand eScience Infrastructure No repository for NZ genomic data of any kind. ● Researchers would host their own data or would put it in overseas repositories e.g. ENA, GenBank ○ No way to know what/where all the “NZ genomic data” was ○ No metadata standard ○ Neither result allowed for any kind of governance of the data The situation: Aotearoa Genomic Data Repository
  • 13. New Zealand eScience Infrastructure New Zealand eScience Infrastructure What did co-design look like for us? ● Workshops ○ Indigenous governance, ethical frameworks ○ Metadata ○ End usability ● Weekly review with the working group ● Case studies ○ Learning about metadata requirements on different types of research https://www.waikato.ac.nz/__data/assets/pdf_file/0018/321534/Te-Mata-Ira-Genome-Research-Guidelines. https://www.gida-global.org/care
  • 14. New Zealand eScience Infrastructure New Zealand eScience Infrastructure Māori data sovereignty Māori Data Sovereignty refers to the inherent rights and interests Māori, whānau, hapū, iwi and Māori organisations have in relation to the creation, collection, access, analysis, interpretation, management, dissemination, re-use, and control of data relating to Māori, whānau, hapū, iwi and Māori organisations as guaranteed in Article II of Te Tiriti/Treaty of Waitangi (Taiuru, K. 2020). Taiuru, Karaitiana (2020. Māori Data Ethical Framework https://www.taiuru.maori.nz/tiritiethicalguide/Māori-data-ethical-framework/
  • 15. New Zealand eScience Infrastructure New Zealand eScience Infrastructure Whakapapa Whakapapa is a key reference point for Māori when talking about health and genetics. Whakapapa was described as the connection between people and as creating a responsibility for both future and past generations. Whakapapa is often used as a framework to describe genealogy, social and ecological relationships, cultural histories, family traits and ancestral inheritances. At a physical and spiritual level, whakapapa is embodied within the DNA of a person; therefore, the storage and use of human tissue for research becomes a culturally significant activity. Te Mata Ira—Faces of the Gene Developing a cultural foundation for biobanking and genomic research involving Māori M. Hudson et al.
  • 16. New Zealand eScience Infrastructure New Zealand eScience Infrastructure ○ AGDR https://data.agdr.org.nz/ 16
  • 17. New Zealand eScience Infrastructure New Zealand eScience Infrastructure
  • 18. New Zealand eScience Infrastructure New Zealand eScience Infrastructure
  • 19. New Zealand eScience Infrastructure New Zealand eScience Infrastructure Kaitiakitanga Kaitiakitanga is a form of guardianship with responsibility to look after specific resources. In the context of genomic research it relates to the use of samples, DNA and data (genome data, clinical data, and information about whakapapa). It is important to clarify who holds the role of kaitiaki within the research team and the community, and that they are aware of the responsibilities of that position to maintain ‘te hau o te taonga’.
  • 20. New Zealand eScience Infrastructure New Zealand eScience Infrastructure Sharing genomic data via Globus 20
  • 21. New Zealand eScience Infrastructure New Zealand eScience Infrastructure
  • 22. New Zealand eScience Infrastructure New Zealand eScience Infrastructure Aotearoa Genomic Data Repository ● More submissions ● Improvements based on feedback ● Finding Kaitaki for projects without Māori engagement Rakeiora Project The Rakeiora Project a programme to improve genomic knowledge that will impact on the wellbeing of New Zealanders is being co-developed and co-governed with Māori. It is a “pathfinder” to test options to acquire, protect, use and store genomic datasets for use in healthcare research in Aotearoa New Zealand. What’s next? Dr Huti Watson’s slide, Rakeiora keynote, eResearch conference 2022
  • 23. New Zealand eScience Infrastructure ● Genomics Aotearoa data repository group ○ Mik Black - University of Otago ○ Ben Te Aika - GA Vision Mātauranga Coordinator ○ Rudi Brauning - AgResearch ○ Libby Liggins - Massey University ○ Miles Benton - ESR ○ Ben Curran - University of Auckland ● NeSI development team ○ Eiran Perkins ○ Jun Huh ○ Brian Flaherty The AGDR Team
  • 24. New Zealand eScience Infrastructure New Zealand eScience Infrastructure
  • 25. New Zealand eScience Infrastructure New Zealand eScience Infrastructure www.nesi.org.nz @NeSI_NZ https://data.agdr.org.nz/ https://www.nesi.org.nz/apply support@nesi.org.nz Thanks for listening