SlideShare uma empresa Scribd logo
1 de 16
ANDS Applications Program:
Building Tools to Facilitate Data
Reuse
Stefanie Kethers Mingfang Wu Andrew Treloar
1ands.org.au CC-BY @atreloar
Outline
 ANDS overview
 Applications program
 Lessons learned
 Thoughts on sustainability
ands.org.au CC-BY @atreloar 2
ANDS at a glance
 In operation since 2009
 Approximately AUD90M total investment
 45 staff (mostly Melbourne, Canberra)
 Working to make Australia’s research data more
valuable
 Funding through to mid 2016 (probably 2017)
ands.org.au CC-BY @atreloar 3
So that researchers can easily publish, discover, access and use
research data through the Australian Research Data Commons
How Do We Make Data More Valuable?
Increasing Value
Key differentiators for ANDS
 No actual data storage
 Nationally co-ordinated approach
 Institutionally-focussed engagement
 “helping them meet their research data ambitions”
 Engaging with large nationally-funded discipline
investments
 Bulk of funds spent outside ANDS
 https://projects.ands.org.au/getAllProjects.php?start=all
 All disciplines covered
 Focus on adding value to data and re-use
ands.org.au CC-BY @atreloar 5
Applications Program
 “Applications that demonstrate the value of data
integration and analysis to answer complex
research questions”
 Enable and promote the fourth transformation
 Produce compelling demonstrations that could be
promoted
 Typically smallish projects (2 EFT, 1 year)
ands.org.au CC-BY @atreloar 6
Discipline distribution
 7 projects in bio/characterisation
 8 projects in climate change adaptation
 10 others (urban planning, marine research,
public health, humanity)
 For a completed list of the projects and their
profiles, please visit the ANDS project registry:
https://projects.ands.org.au/getAllProjects.php?start=
app
ands.org.au CC-BY @atreloar 7
https://projects.ands.org.au/getAllProjects.php?start=app
CASE STUDY
Soils to Satellites
ands.org.au CC-BY @atreloar 9
ands.org.au CC-BY @atreloar 10
Soils to Satellites
ands.org.au CC-BY @atreloar 11
ands.org.au CC-BY @atreloar 12
Lessons learned
 Support from research champions was critical
 Tight timelines were the enemy of modular
common design
 Outreach forms (blogs, videos) were more popular
than expected
 Data and system sustainability an ongoing issue
ands.org.au CC-BY @atreloar 13
Sustainability challenges
 More desire for bespoke solutions than can be met
 Every researcher’s needs are “special”
 Trade off between individual researcher's need and a research
community's need
 Finite amount of the right dev resource available
 and keeping them is difficult
 Waterfall development will deliver the right solution two
years too late
 Communities still constrained by old ways of working
 and culture eats technology for breakfast
 It takes a planet to maintain a codebase
ands.org.au CC-BY @atreloar 14
Sustainability responses
 ‘Good enough’ solutions are actually just fine most of
the time
 Adopt/Adapt/Augment is always better than Build
 Existing common toolkits let you focus on the missing
10% of functionality
 So don’t start from scratch
 But also don’t leech
 Involve research champions who can articulate their
community's requirements, and promote project
outcomes
ands.org.au CC-BY @atreloar 15
Questions?
 andrew.treloar@ands.org.au
 mingfang.wu@ands.org.au
 stefanie.kethers@ands.org.au
 andrew.treloar.net
ands.org.au CC-BY @atreloar 16

Mais conteúdo relacionado

Mais procurados

Hilary Hanahoe - The Research Data Alliance in a nutshell
Hilary Hanahoe - The Research Data Alliance in a nutshellHilary Hanahoe - The Research Data Alliance in a nutshell
Hilary Hanahoe - The Research Data Alliance in a nutshelldri_ireland
 
Research Data Management @Harvard
Research Data Management @HarvardResearch Data Management @Harvard
Research Data Management @HarvardMerce Crosas
 
Practical Implementation of research data policies: Solutions with Dataverse
Practical Implementation of research data policies: Solutions with DataversePractical Implementation of research data policies: Solutions with Dataverse
Practical Implementation of research data policies: Solutions with DataverseMerce Crosas
 
Librarians: how and why manage research data; CDU Darwin 080915
Librarians: how and why manage research data; CDU Darwin 080915Librarians: how and why manage research data; CDU Darwin 080915
Librarians: how and why manage research data; CDU Darwin 080915Richard Ferrers
 
The Landscape of Research Data Management
The Landscape of Research Data Management The Landscape of Research Data Management
The Landscape of Research Data Management Alastair Dunning
 
Winning the Tour de France, Research Data and Data Stewardship
Winning the Tour de France, Research Data and Data StewardshipWinning the Tour de France, Research Data and Data Stewardship
Winning the Tour de France, Research Data and Data StewardshipAlastair Dunning
 
Ncris and the virtual labs
Ncris and the virtual labsNcris and the virtual labs
Ncris and the virtual labsARDC
 
Logan flood project
Logan flood project Logan flood project
Logan flood project Kate Hodge
 
Building a collaborative RDM community, research data network
Building a collaborative RDM community, research data networkBuilding a collaborative RDM community, research data network
Building a collaborative RDM community, research data networkJisc RDM
 
It summit dataverse-bigdata-mercecrosas
It summit dataverse-bigdata-mercecrosasIt summit dataverse-bigdata-mercecrosas
It summit dataverse-bigdata-mercecrosaskevin_donovan
 
Observations on a whole lot of Things learned through the 23 (research data) ...
Observations on a whole lot of Things learned through the 23 (research data) ...Observations on a whole lot of Things learned through the 23 (research data) ...
Observations on a whole lot of Things learned through the 23 (research data) ...ARDC
 
DataOne - Suzie Allard - RDAP12
DataOne - Suzie Allard - RDAP12DataOne - Suzie Allard - RDAP12
DataOne - Suzie Allard - RDAP12ASIS&T
 
It summit facilitate-researchcomputing-mercecrosas
It summit facilitate-researchcomputing-mercecrosasIt summit facilitate-researchcomputing-mercecrosas
It summit facilitate-researchcomputing-mercecrosaskevin_donovan
 
Institutional Support for Research Data Management- Why, what and where next?...
Institutional Support for Research Data Management- Why, what and where next?...Institutional Support for Research Data Management- Why, what and where next?...
Institutional Support for Research Data Management- Why, what and where next?...The University of Edinburgh
 
Research Data Management - EPSRC’s Perspective
Research Data Management  - EPSRC’s PerspectiveResearch Data Management  - EPSRC’s Perspective
Research Data Management - EPSRC’s PerspectiveRoyal Society of Chemistry
 

Mais procurados (17)

Research Data MANTRA Project at Edinburgh
Research Data MANTRA Project at EdinburghResearch Data MANTRA Project at Edinburgh
Research Data MANTRA Project at Edinburgh
 
Hilary Hanahoe - The Research Data Alliance in a nutshell
Hilary Hanahoe - The Research Data Alliance in a nutshellHilary Hanahoe - The Research Data Alliance in a nutshell
Hilary Hanahoe - The Research Data Alliance in a nutshell
 
Jonathan David Crabtree - The Dataverse Community: Supporting Open Science an...
Jonathan David Crabtree - The Dataverse Community: Supporting Open Science an...Jonathan David Crabtree - The Dataverse Community: Supporting Open Science an...
Jonathan David Crabtree - The Dataverse Community: Supporting Open Science an...
 
Research Data Management @Harvard
Research Data Management @HarvardResearch Data Management @Harvard
Research Data Management @Harvard
 
Practical Implementation of research data policies: Solutions with Dataverse
Practical Implementation of research data policies: Solutions with DataversePractical Implementation of research data policies: Solutions with Dataverse
Practical Implementation of research data policies: Solutions with Dataverse
 
Librarians: how and why manage research data; CDU Darwin 080915
Librarians: how and why manage research data; CDU Darwin 080915Librarians: how and why manage research data; CDU Darwin 080915
Librarians: how and why manage research data; CDU Darwin 080915
 
The Landscape of Research Data Management
The Landscape of Research Data Management The Landscape of Research Data Management
The Landscape of Research Data Management
 
Winning the Tour de France, Research Data and Data Stewardship
Winning the Tour de France, Research Data and Data StewardshipWinning the Tour de France, Research Data and Data Stewardship
Winning the Tour de France, Research Data and Data Stewardship
 
Ncris and the virtual labs
Ncris and the virtual labsNcris and the virtual labs
Ncris and the virtual labs
 
Logan flood project
Logan flood project Logan flood project
Logan flood project
 
Building a collaborative RDM community, research data network
Building a collaborative RDM community, research data networkBuilding a collaborative RDM community, research data network
Building a collaborative RDM community, research data network
 
It summit dataverse-bigdata-mercecrosas
It summit dataverse-bigdata-mercecrosasIt summit dataverse-bigdata-mercecrosas
It summit dataverse-bigdata-mercecrosas
 
Observations on a whole lot of Things learned through the 23 (research data) ...
Observations on a whole lot of Things learned through the 23 (research data) ...Observations on a whole lot of Things learned through the 23 (research data) ...
Observations on a whole lot of Things learned through the 23 (research data) ...
 
DataOne - Suzie Allard - RDAP12
DataOne - Suzie Allard - RDAP12DataOne - Suzie Allard - RDAP12
DataOne - Suzie Allard - RDAP12
 
It summit facilitate-researchcomputing-mercecrosas
It summit facilitate-researchcomputing-mercecrosasIt summit facilitate-researchcomputing-mercecrosas
It summit facilitate-researchcomputing-mercecrosas
 
Institutional Support for Research Data Management- Why, what and where next?...
Institutional Support for Research Data Management- Why, what and where next?...Institutional Support for Research Data Management- Why, what and where next?...
Institutional Support for Research Data Management- Why, what and where next?...
 
Research Data Management - EPSRC’s Perspective
Research Data Management  - EPSRC’s PerspectiveResearch Data Management  - EPSRC’s Perspective
Research Data Management - EPSRC’s Perspective
 

Destaque

Adding value to researchers' data
Adding value to researchers' dataAdding value to researchers' data
Adding value to researchers' dataAndrew Treloar
 
Closing comments at #iPres 2014 conference
Closing comments at #iPres 2014 conferenceClosing comments at #iPres 2014 conference
Closing comments at #iPres 2014 conferenceAndrew Treloar
 
Instutional repositories and data
Instutional repositories and dataInstutional repositories and data
Instutional repositories and dataAndrew Treloar
 
Data management: international challenges, national infrastructure, and insti...
Data management: international challenges, national infrastructure, and insti...Data management: international challenges, national infrastructure, and insti...
Data management: international challenges, national infrastructure, and insti...Andrew Treloar
 
The universe of identifiers and how ANDS is using them
The universe of identifiers and how ANDS is using themThe universe of identifiers and how ANDS is using them
The universe of identifiers and how ANDS is using themAndrew Treloar
 
Provenance in Support of the ANDS Four Transformations
Provenance in Support of the ANDS Four TransformationsProvenance in Support of the ANDS Four Transformations
Provenance in Support of the ANDS Four TransformationsAndrew Treloar
 

Destaque (8)

Adding value to researchers' data
Adding value to researchers' dataAdding value to researchers' data
Adding value to researchers' data
 
Closing comments at #iPres 2014 conference
Closing comments at #iPres 2014 conferenceClosing comments at #iPres 2014 conference
Closing comments at #iPres 2014 conference
 
Instutional repositories and data
Instutional repositories and dataInstutional repositories and data
Instutional repositories and data
 
I pres 2014 slides
I pres 2014 slidesI pres 2014 slides
I pres 2014 slides
 
Data management: international challenges, national infrastructure, and insti...
Data management: international challenges, national infrastructure, and insti...Data management: international challenges, national infrastructure, and insti...
Data management: international challenges, national infrastructure, and insti...
 
The universe of identifiers and how ANDS is using them
The universe of identifiers and how ANDS is using themThe universe of identifiers and how ANDS is using them
The universe of identifiers and how ANDS is using them
 
Provenance in Support of the ANDS Four Transformations
Provenance in Support of the ANDS Four TransformationsProvenance in Support of the ANDS Four Transformations
Provenance in Support of the ANDS Four Transformations
 
Escaping Datageddon
Escaping DatageddonEscaping Datageddon
Escaping Datageddon
 

Semelhante a ANDS Applications Program: Building Tools to Facilitate Data Reuse

Ucla july 2018 natasha simons
Ucla july 2018 natasha simonsUcla july 2018 natasha simons
Ucla july 2018 natasha simonsARDC
 
Jeff Haywood - Research Integrity: Institutional Responsibility
Jeff Haywood - Research Integrity: Institutional ResponsibilityJeff Haywood - Research Integrity: Institutional Responsibility
Jeff Haywood - Research Integrity: Institutional ResponsibilityJisc
 
Some Ideas on Making Research Data: "It's the Metadata, stupid!"
Some Ideas on Making Research Data: "It's the Metadata, stupid!"Some Ideas on Making Research Data: "It's the Metadata, stupid!"
Some Ideas on Making Research Data: "It's the Metadata, stupid!"Anita de Waard
 
Research Data Service at the University of Edinburgh
Research Data Service at the University of EdinburghResearch Data Service at the University of Edinburgh
Research Data Service at the University of EdinburghRobin Rice
 
Warwick Library Symposium | Cathrine Harboe-Ree and David Groenewegen
Warwick Library Symposium |  Cathrine Harboe-Ree and  David GroenewegenWarwick Library Symposium |  Cathrine Harboe-Ree and  David Groenewegen
Warwick Library Symposium | Cathrine Harboe-Ree and David GroenewegenResearchLibrariesUK
 
Australia's Environmental Predictive Capability
Australia's Environmental Predictive CapabilityAustralia's Environmental Predictive Capability
Australia's Environmental Predictive CapabilityTERN Australia
 
Research Data Support at the University of Edinburgh
Research Data Support at the University of EdinburghResearch Data Support at the University of Edinburgh
Research Data Support at the University of EdinburghRobin Rice
 
Managing and sharing data
Managing and sharing dataManaging and sharing data
Managing and sharing dataSarah Jones
 
Research Integrity Advisor and Data Management
Research Integrity Advisor and Data ManagementResearch Integrity Advisor and Data Management
Research Integrity Advisor and Data ManagementARDC
 
The state of global research data initiatives: observations from a life on th...
The state of global research data initiatives: observations from a life on th...The state of global research data initiatives: observations from a life on th...
The state of global research data initiatives: observations from a life on th...Projeto RCAAP
 
SGCI Science Gateways Landscape in North America
SGCI Science Gateways Landscape in North AmericaSGCI Science Gateways Landscape in North America
SGCI Science Gateways Landscape in North AmericaSandra Gesing
 
Sarah Jones RDM from a disciplinary perspective
Sarah Jones RDM from a disciplinary perspectiveSarah Jones RDM from a disciplinary perspective
Sarah Jones RDM from a disciplinary perspectiveJisc
 
Services, policy, guidance and training: Improving research data management a...
Services, policy, guidance and training: Improving research data management a...Services, policy, guidance and training: Improving research data management a...
Services, policy, guidance and training: Improving research data management a...EDINA, University of Edinburgh
 
RDM LIASA webinar
RDM LIASA webinarRDM LIASA webinar
RDM LIASA webinarSarah Jones
 
Services, policy, guidance and training: Improving research data management a...
Services, policy, guidance and training: Improving research data management a...Services, policy, guidance and training: Improving research data management a...
Services, policy, guidance and training: Improving research data management a...Robin Rice
 
National perspective on eResearch Infrastructure: Andrew Treloar
National perspective on eResearch Infrastructure: Andrew TreloarNational perspective on eResearch Infrastructure: Andrew Treloar
National perspective on eResearch Infrastructure: Andrew TreloarARDC
 
Research process and research data management
Research  process and research data managementResearch  process and research data management
Research process and research data managementKen Chad Consulting Ltd
 
UKSG 2014 Breakout Session - Westminster Research Process and Research Data
UKSG 2014 Breakout Session - Westminster Research Process and Research DataUKSG 2014 Breakout Session - Westminster Research Process and Research Data
UKSG 2014 Breakout Session - Westminster Research Process and Research DataUKSG: connecting the knowledge community
 
CYVERSE: TRANSFORMING LIFE SCIENCE RESEARCH VIA CYBERINFRASTRUCTURE
CYVERSE: TRANSFORMING LIFE SCIENCE RESEARCH VIA CYBERINFRASTRUCTURECYVERSE: TRANSFORMING LIFE SCIENCE RESEARCH VIA CYBERINFRASTRUCTURE
CYVERSE: TRANSFORMING LIFE SCIENCE RESEARCH VIA CYBERINFRASTRUCTUREMatthew Vaughn
 
Cyberinfrastructure and the Research Process in Canada
Cyberinfrastructure and the Research Process in CanadaCyberinfrastructure and the Research Process in Canada
Cyberinfrastructure and the Research Process in CanadaCANARIE Inc.
 

Semelhante a ANDS Applications Program: Building Tools to Facilitate Data Reuse (20)

Ucla july 2018 natasha simons
Ucla july 2018 natasha simonsUcla july 2018 natasha simons
Ucla july 2018 natasha simons
 
Jeff Haywood - Research Integrity: Institutional Responsibility
Jeff Haywood - Research Integrity: Institutional ResponsibilityJeff Haywood - Research Integrity: Institutional Responsibility
Jeff Haywood - Research Integrity: Institutional Responsibility
 
Some Ideas on Making Research Data: "It's the Metadata, stupid!"
Some Ideas on Making Research Data: "It's the Metadata, stupid!"Some Ideas on Making Research Data: "It's the Metadata, stupid!"
Some Ideas on Making Research Data: "It's the Metadata, stupid!"
 
Research Data Service at the University of Edinburgh
Research Data Service at the University of EdinburghResearch Data Service at the University of Edinburgh
Research Data Service at the University of Edinburgh
 
Warwick Library Symposium | Cathrine Harboe-Ree and David Groenewegen
Warwick Library Symposium |  Cathrine Harboe-Ree and  David GroenewegenWarwick Library Symposium |  Cathrine Harboe-Ree and  David Groenewegen
Warwick Library Symposium | Cathrine Harboe-Ree and David Groenewegen
 
Australia's Environmental Predictive Capability
Australia's Environmental Predictive CapabilityAustralia's Environmental Predictive Capability
Australia's Environmental Predictive Capability
 
Research Data Support at the University of Edinburgh
Research Data Support at the University of EdinburghResearch Data Support at the University of Edinburgh
Research Data Support at the University of Edinburgh
 
Managing and sharing data
Managing and sharing dataManaging and sharing data
Managing and sharing data
 
Research Integrity Advisor and Data Management
Research Integrity Advisor and Data ManagementResearch Integrity Advisor and Data Management
Research Integrity Advisor and Data Management
 
The state of global research data initiatives: observations from a life on th...
The state of global research data initiatives: observations from a life on th...The state of global research data initiatives: observations from a life on th...
The state of global research data initiatives: observations from a life on th...
 
SGCI Science Gateways Landscape in North America
SGCI Science Gateways Landscape in North AmericaSGCI Science Gateways Landscape in North America
SGCI Science Gateways Landscape in North America
 
Sarah Jones RDM from a disciplinary perspective
Sarah Jones RDM from a disciplinary perspectiveSarah Jones RDM from a disciplinary perspective
Sarah Jones RDM from a disciplinary perspective
 
Services, policy, guidance and training: Improving research data management a...
Services, policy, guidance and training: Improving research data management a...Services, policy, guidance and training: Improving research data management a...
Services, policy, guidance and training: Improving research data management a...
 
RDM LIASA webinar
RDM LIASA webinarRDM LIASA webinar
RDM LIASA webinar
 
Services, policy, guidance and training: Improving research data management a...
Services, policy, guidance and training: Improving research data management a...Services, policy, guidance and training: Improving research data management a...
Services, policy, guidance and training: Improving research data management a...
 
National perspective on eResearch Infrastructure: Andrew Treloar
National perspective on eResearch Infrastructure: Andrew TreloarNational perspective on eResearch Infrastructure: Andrew Treloar
National perspective on eResearch Infrastructure: Andrew Treloar
 
Research process and research data management
Research  process and research data managementResearch  process and research data management
Research process and research data management
 
UKSG 2014 Breakout Session - Westminster Research Process and Research Data
UKSG 2014 Breakout Session - Westminster Research Process and Research DataUKSG 2014 Breakout Session - Westminster Research Process and Research Data
UKSG 2014 Breakout Session - Westminster Research Process and Research Data
 
CYVERSE: TRANSFORMING LIFE SCIENCE RESEARCH VIA CYBERINFRASTRUCTURE
CYVERSE: TRANSFORMING LIFE SCIENCE RESEARCH VIA CYBERINFRASTRUCTURECYVERSE: TRANSFORMING LIFE SCIENCE RESEARCH VIA CYBERINFRASTRUCTURE
CYVERSE: TRANSFORMING LIFE SCIENCE RESEARCH VIA CYBERINFRASTRUCTURE
 
Cyberinfrastructure and the Research Process in Canada
Cyberinfrastructure and the Research Process in CanadaCyberinfrastructure and the Research Process in Canada
Cyberinfrastructure and the Research Process in Canada
 

Mais de Andrew Treloar

Building a National Research Data Commons – Transforming Scholarship Through ...
Building a National Research Data Commons – Transforming Scholarship Through ...Building a National Research Data Commons – Transforming Scholarship Through ...
Building a National Research Data Commons – Transforming Scholarship Through ...Andrew Treloar
 
The life-sciences as a pathfinder in data-intensive research practice
The life-sciences as a pathfinder in data-intensive research practiceThe life-sciences as a pathfinder in data-intensive research practice
The life-sciences as a pathfinder in data-intensive research practiceAndrew Treloar
 
Past, present, and future of scholarly technology and practices
Past, present, and future of scholarly technology and practicesPast, present, and future of scholarly technology and practices
Past, present, and future of scholarly technology and practicesAndrew Treloar
 
Scholarly archive-of-the-future
Scholarly archive-of-the-futureScholarly archive-of-the-future
Scholarly archive-of-the-futureAndrew Treloar
 
Data Infrastructure and the Scholarly Ecosystem of the Future
Data Infrastructure and the Scholarly Ecosystem of the FutureData Infrastructure and the Scholarly Ecosystem of the Future
Data Infrastructure and the Scholarly Ecosystem of the FutureAndrew Treloar
 
Building on the Atlas (of Living Australia)
Building on the Atlas (of Living Australia)Building on the Atlas (of Living Australia)
Building on the Atlas (of Living Australia)Andrew Treloar
 
Journal literature size in the context of the LHC data
Journal literature size in the context of the LHC dataJournal literature size in the context of the LHC data
Journal literature size in the context of the LHC dataAndrew Treloar
 
From Data to Data: One version of a History of Scholarly Communication
From Data to Data: One version of a History of Scholarly CommunicationFrom Data to Data: One version of a History of Scholarly Communication
From Data to Data: One version of a History of Scholarly CommunicationAndrew Treloar
 
The Past, Present and Future of data
The Past, Present and Future of dataThe Past, Present and Future of data
The Past, Present and Future of dataAndrew Treloar
 
Data, librarians, and services
Data, librarians, and servicesData, librarians, and services
Data, librarians, and servicesAndrew Treloar
 
Ands National Identifier Solution
Ands National Identifier SolutionAnds National Identifier Solution
Ands National Identifier SolutionAndrew Treloar
 

Mais de Andrew Treloar (13)

Building a National Research Data Commons – Transforming Scholarship Through ...
Building a National Research Data Commons – Transforming Scholarship Through ...Building a National Research Data Commons – Transforming Scholarship Through ...
Building a National Research Data Commons – Transforming Scholarship Through ...
 
The life-sciences as a pathfinder in data-intensive research practice
The life-sciences as a pathfinder in data-intensive research practiceThe life-sciences as a pathfinder in data-intensive research practice
The life-sciences as a pathfinder in data-intensive research practice
 
Past, present, and future of scholarly technology and practices
Past, present, and future of scholarly technology and practicesPast, present, and future of scholarly technology and practices
Past, present, and future of scholarly technology and practices
 
Scholarly archive-of-the-future
Scholarly archive-of-the-futureScholarly archive-of-the-future
Scholarly archive-of-the-future
 
Data Infrastructure and the Scholarly Ecosystem of the Future
Data Infrastructure and the Scholarly Ecosystem of the FutureData Infrastructure and the Scholarly Ecosystem of the Future
Data Infrastructure and the Scholarly Ecosystem of the Future
 
Data drives decisions
Data drives decisionsData drives decisions
Data drives decisions
 
Building on the Atlas (of Living Australia)
Building on the Atlas (of Living Australia)Building on the Atlas (of Living Australia)
Building on the Atlas (of Living Australia)
 
Journal literature size in the context of the LHC data
Journal literature size in the context of the LHC dataJournal literature size in the context of the LHC data
Journal literature size in the context of the LHC data
 
Research data ecology
Research data ecologyResearch data ecology
Research data ecology
 
From Data to Data: One version of a History of Scholarly Communication
From Data to Data: One version of a History of Scholarly CommunicationFrom Data to Data: One version of a History of Scholarly Communication
From Data to Data: One version of a History of Scholarly Communication
 
The Past, Present and Future of data
The Past, Present and Future of dataThe Past, Present and Future of data
The Past, Present and Future of data
 
Data, librarians, and services
Data, librarians, and servicesData, librarians, and services
Data, librarians, and services
 
Ands National Identifier Solution
Ands National Identifier SolutionAnds National Identifier Solution
Ands National Identifier Solution
 

Último

Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Igalia
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Enterprise Knowledge
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoffsammart93
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Miguel Araújo
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 
Evaluating the top large language models.pdf
Evaluating the top large language models.pdfEvaluating the top large language models.pdf
Evaluating the top large language models.pdfChristopherTHyatt
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun
 
Tech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdfTech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdfhans926745
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfEnterprise Knowledge
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?Antenna Manufacturer Coco
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Servicegiselly40
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityPrincipled Technologies
 

Último (20)

Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
Evaluating the top large language models.pdf
Evaluating the top large language models.pdfEvaluating the top large language models.pdf
Evaluating the top large language models.pdf
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
Tech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdfTech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdf
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 

ANDS Applications Program: Building Tools to Facilitate Data Reuse

  • 1. ANDS Applications Program: Building Tools to Facilitate Data Reuse Stefanie Kethers Mingfang Wu Andrew Treloar 1ands.org.au CC-BY @atreloar
  • 2. Outline  ANDS overview  Applications program  Lessons learned  Thoughts on sustainability ands.org.au CC-BY @atreloar 2
  • 3. ANDS at a glance  In operation since 2009  Approximately AUD90M total investment  45 staff (mostly Melbourne, Canberra)  Working to make Australia’s research data more valuable  Funding through to mid 2016 (probably 2017) ands.org.au CC-BY @atreloar 3
  • 4. So that researchers can easily publish, discover, access and use research data through the Australian Research Data Commons How Do We Make Data More Valuable? Increasing Value
  • 5. Key differentiators for ANDS  No actual data storage  Nationally co-ordinated approach  Institutionally-focussed engagement  “helping them meet their research data ambitions”  Engaging with large nationally-funded discipline investments  Bulk of funds spent outside ANDS  https://projects.ands.org.au/getAllProjects.php?start=all  All disciplines covered  Focus on adding value to data and re-use ands.org.au CC-BY @atreloar 5
  • 6. Applications Program  “Applications that demonstrate the value of data integration and analysis to answer complex research questions”  Enable and promote the fourth transformation  Produce compelling demonstrations that could be promoted  Typically smallish projects (2 EFT, 1 year) ands.org.au CC-BY @atreloar 6
  • 7. Discipline distribution  7 projects in bio/characterisation  8 projects in climate change adaptation  10 others (urban planning, marine research, public health, humanity)  For a completed list of the projects and their profiles, please visit the ANDS project registry: https://projects.ands.org.au/getAllProjects.php?start= app ands.org.au CC-BY @atreloar 7
  • 9. CASE STUDY Soils to Satellites ands.org.au CC-BY @atreloar 9
  • 11. Soils to Satellites ands.org.au CC-BY @atreloar 11
  • 13. Lessons learned  Support from research champions was critical  Tight timelines were the enemy of modular common design  Outreach forms (blogs, videos) were more popular than expected  Data and system sustainability an ongoing issue ands.org.au CC-BY @atreloar 13
  • 14. Sustainability challenges  More desire for bespoke solutions than can be met  Every researcher’s needs are “special”  Trade off between individual researcher's need and a research community's need  Finite amount of the right dev resource available  and keeping them is difficult  Waterfall development will deliver the right solution two years too late  Communities still constrained by old ways of working  and culture eats technology for breakfast  It takes a planet to maintain a codebase ands.org.au CC-BY @atreloar 14
  • 15. Sustainability responses  ‘Good enough’ solutions are actually just fine most of the time  Adopt/Adapt/Augment is always better than Build  Existing common toolkits let you focus on the missing 10% of functionality  So don’t start from scratch  But also don’t leech  Involve research champions who can articulate their community's requirements, and promote project outcomes ands.org.au CC-BY @atreloar 15
  • 16. Questions?  andrew.treloar@ands.org.au  mingfang.wu@ands.org.au  stefanie.kethers@ands.org.au  andrew.treloar.net ands.org.au CC-BY @atreloar 16