SlideShare a Scribd company logo
FAIR Webinar Series
13 September 2017
#3 FAIR Data Principles: I is Interoperable
Keith Russell
ANDS
An introduction to Interoperable under the FAIR Data Principles
Simon Cox, David Lemon, Jonathan Yu
CSIRO
How they have made the research data in the OzNome project
interoperable, not only for humans but also for machines
Today’s speakers
I is for Interoperable
TO BE INTEROPERABLE:
I1. (meta)data use a formal, accessible, shared, and
broadly applicable language for knowledge
representation.
I2. (meta)data use vocabularies that follow FAIR
principles.
I3. (meta)data include qualified references to other
(meta)data.
Qualified references using
Identifiers
- Author: e.g. ORCID
- Publication: e.g. DOI
- Another data set: e.g. DOI
- Software: e.g. DOI
- Organisation: e.g. GRID
- Grant: e.g. Grant ID
- Projects: e.g. RAID
Simon Cox, Jonathan Yu,
CSIRO
How they have made the research data in the OzNome project
interoperable, not only for humans but also for machines
Today’s speakers
Resources on Interoperable
Research Vocabularies Australia
Identifiers for researchers
Identifiers for grants
Identifiers for projects
Linking data with SCHOLIX
Thing 12: Vocabularies for data description
Thing 14: Identifiers and linked data
Keith Russell
ANDS
An introduction to the Reusable FAIR Data Principles
Margie Smith
GeoScience Australia
will discuss why Provenance information is critical to data re-use
and how GA have approached attaching provenance information
to data.
Nerida Quartermas
QUT
will present on licensing frameworks and choosing a licence to
make the data more reusable
Next week: Reusable FAIR principles 20 Sept
keith.russell@ands.org.au
Keith Russell
With the exception of third party images or where otherwise indicated, this work
is licensed under the Creative Commons 4.0 International Attribution Licence.
ANDS is supported by the Australian
Government through the National Collaborative
Research Infrastructure Strategy Program.
Monash University leads the partnership with
the Australian National University and CSIRO.

More Related Content

What's hot

D4Science Data infrastructure: a facilitator for a FAIR data management
D4Science Data infrastructure: a facilitator for a FAIR data managementD4Science Data infrastructure: a facilitator for a FAIR data management
D4Science Data infrastructure: a facilitator for a FAIR data management
Research Data Alliance
 
Altman RDAP11 Policy-based Data Management
Altman RDAP11 Policy-based Data ManagementAltman RDAP11 Policy-based Data Management
Altman RDAP11 Policy-based Data Management
ASIS&T
 
INSTRUCT - Integrated Structural Biology Infrastructure
INSTRUCT - Integrated Structural Biology InfrastructureINSTRUCT - Integrated Structural Biology Infrastructure
INSTRUCT - Integrated Structural Biology Infrastructure
Research Data Alliance
 
Global registries initiative frumkin omodei
Global registries initiative frumkin omodeiGlobal registries initiative frumkin omodei
Global registries initiative frumkin omodei
ASIS&T
 
Smith RDAP11 NSF Data Management Plan Case Studies
Smith RDAP11 NSF Data Management Plan Case StudiesSmith RDAP11 NSF Data Management Plan Case Studies
Smith RDAP11 NSF Data Management Plan Case Studies
ASIS&T
 
Brdi rda 9 13 -- rda
Brdi rda 9 13 -- rdaBrdi rda 9 13 -- rda
Brdi rda 9 13 -- rda
Research Data Alliance
 
Will We Command Our Data? From the Petascale to the Personal
Will We Command Our Data?  From the Petascale to the PersonalWill We Command Our Data?  From the Petascale to the Personal
Will We Command Our Data? From the Petascale to the Personal
Richard Akerman
 
Simons orcid forum canberra 2018-PIDs in research
Simons orcid forum canberra 2018-PIDs in researchSimons orcid forum canberra 2018-PIDs in research
Simons orcid forum canberra 2018-PIDs in research
ARDC
 
NFAIS Talk on Enabling FAIR Data
NFAIS Talk on Enabling FAIR DataNFAIS Talk on Enabling FAIR Data
NFAIS Talk on Enabling FAIR Data
Anita de Waard
 
Rots RDAP11 Data Archives in Federal Agencies
Rots RDAP11 Data Archives in Federal AgenciesRots RDAP11 Data Archives in Federal Agencies
Rots RDAP11 Data Archives in Federal Agencies
ASIS&T
 
Research Data Management
Research Data ManagementResearch Data Management
Research Data Management
Rebekah Cummings
 
The future of FAIR
The future of FAIRThe future of FAIR
The future of FAIR
Sarah Jones
 
Dataverse in the Universe of Data by Christine L. Borgman
Dataverse in the Universe of Data by Christine L. BorgmanDataverse in the Universe of Data by Christine L. Borgman
Dataverse in the Universe of Data by Christine L. Borgman
datascienceiqss
 
Introducing the Linked Data Research Centre
Introducing the Linked Data Research CentreIntroducing the Linked Data Research Centre
Introducing the Linked Data Research Centre
Michael Hausenblas
 
Sustainable Legal Framework for Open Access to Research Data
Sustainable Legal Framework for Open Access to Research DataSustainable Legal Framework for Open Access to Research Data
Sustainable Legal Framework for Open Access to Research Data
gideon christian
 
Data Management for Undergraduate Research
Data Management for Undergraduate ResearchData Management for Undergraduate Research
Data Management for Undergraduate Research
Rebekah Cummings
 
Science in the open, what does it take?
Science in the open, what does it take?Science in the open, what does it take?
Science in the open, what does it take?
mhaendel
 
DRI Introductory Training: Introduction to Metadata
DRI Introductory Training: Introduction to MetadataDRI Introductory Training: Introduction to Metadata
DRI Introductory Training: Introduction to Metadata
dri_ireland
 
Metadata & Data Curation Services by Thu-Mai Christian
Metadata & Data Curation Services by Thu-Mai ChristianMetadata & Data Curation Services by Thu-Mai Christian
Metadata & Data Curation Services by Thu-Mai Christian
datascienceiqss
 
Being a Good Data Provider, by Alastair Dunning
Being a Good Data Provider, by Alastair DunningBeing a Good Data Provider, by Alastair Dunning
Being a Good Data Provider, by Alastair Dunning
Alastair Dunning
 

What's hot (20)

D4Science Data infrastructure: a facilitator for a FAIR data management
D4Science Data infrastructure: a facilitator for a FAIR data managementD4Science Data infrastructure: a facilitator for a FAIR data management
D4Science Data infrastructure: a facilitator for a FAIR data management
 
Altman RDAP11 Policy-based Data Management
Altman RDAP11 Policy-based Data ManagementAltman RDAP11 Policy-based Data Management
Altman RDAP11 Policy-based Data Management
 
INSTRUCT - Integrated Structural Biology Infrastructure
INSTRUCT - Integrated Structural Biology InfrastructureINSTRUCT - Integrated Structural Biology Infrastructure
INSTRUCT - Integrated Structural Biology Infrastructure
 
Global registries initiative frumkin omodei
Global registries initiative frumkin omodeiGlobal registries initiative frumkin omodei
Global registries initiative frumkin omodei
 
Smith RDAP11 NSF Data Management Plan Case Studies
Smith RDAP11 NSF Data Management Plan Case StudiesSmith RDAP11 NSF Data Management Plan Case Studies
Smith RDAP11 NSF Data Management Plan Case Studies
 
Brdi rda 9 13 -- rda
Brdi rda 9 13 -- rdaBrdi rda 9 13 -- rda
Brdi rda 9 13 -- rda
 
Will We Command Our Data? From the Petascale to the Personal
Will We Command Our Data?  From the Petascale to the PersonalWill We Command Our Data?  From the Petascale to the Personal
Will We Command Our Data? From the Petascale to the Personal
 
Simons orcid forum canberra 2018-PIDs in research
Simons orcid forum canberra 2018-PIDs in researchSimons orcid forum canberra 2018-PIDs in research
Simons orcid forum canberra 2018-PIDs in research
 
NFAIS Talk on Enabling FAIR Data
NFAIS Talk on Enabling FAIR DataNFAIS Talk on Enabling FAIR Data
NFAIS Talk on Enabling FAIR Data
 
Rots RDAP11 Data Archives in Federal Agencies
Rots RDAP11 Data Archives in Federal AgenciesRots RDAP11 Data Archives in Federal Agencies
Rots RDAP11 Data Archives in Federal Agencies
 
Research Data Management
Research Data ManagementResearch Data Management
Research Data Management
 
The future of FAIR
The future of FAIRThe future of FAIR
The future of FAIR
 
Dataverse in the Universe of Data by Christine L. Borgman
Dataverse in the Universe of Data by Christine L. BorgmanDataverse in the Universe of Data by Christine L. Borgman
Dataverse in the Universe of Data by Christine L. Borgman
 
Introducing the Linked Data Research Centre
Introducing the Linked Data Research CentreIntroducing the Linked Data Research Centre
Introducing the Linked Data Research Centre
 
Sustainable Legal Framework for Open Access to Research Data
Sustainable Legal Framework for Open Access to Research DataSustainable Legal Framework for Open Access to Research Data
Sustainable Legal Framework for Open Access to Research Data
 
Data Management for Undergraduate Research
Data Management for Undergraduate ResearchData Management for Undergraduate Research
Data Management for Undergraduate Research
 
Science in the open, what does it take?
Science in the open, what does it take?Science in the open, what does it take?
Science in the open, what does it take?
 
DRI Introductory Training: Introduction to Metadata
DRI Introductory Training: Introduction to MetadataDRI Introductory Training: Introduction to Metadata
DRI Introductory Training: Introduction to Metadata
 
Metadata & Data Curation Services by Thu-Mai Christian
Metadata & Data Curation Services by Thu-Mai ChristianMetadata & Data Curation Services by Thu-Mai Christian
Metadata & Data Curation Services by Thu-Mai Christian
 
Being a Good Data Provider, by Alastair Dunning
Being a Good Data Provider, by Alastair DunningBeing a Good Data Provider, by Alastair Dunning
Being a Good Data Provider, by Alastair Dunning
 

Similar to Fair - Interoperability - Keith Russell

IWSG Science Gateways
IWSG Science GatewaysIWSG Science Gateways
IWSG Science Gateways
Keith Russell
 
DCC and FAIR initiatives
DCC and FAIR initiativesDCC and FAIR initiatives
DCC and FAIR initiatives
Sarah Jones
 
Managing Metadata for Science and Technology Studies: the RISIS case
Managing Metadata for Science and Technology Studies: the RISIS caseManaging Metadata for Science and Technology Studies: the RISIS case
Managing Metadata for Science and Technology Studies: the RISIS case
Rinke Hoekstra
 
Recommender Systems based on Linked Open Data
Recommender Systems based on Linked Open DataRecommender Systems based on Linked Open Data
Recommender Systems based on Linked Open Data
Cataldo Musto
 
Application and Methods of Deep Learning in IoT
Application and Methods of Deep Learning in IoTApplication and Methods of Deep Learning in IoT
Application and Methods of Deep Learning in IoT
IJAEMSJORNAL
 
Data Science
Data ScienceData Science
Data Science
Rabin BK
 
Linked Open Data (LOD) part 1
Linked Open Data (LOD) part 1Linked Open Data (LOD) part 1
Linked Open Data (LOD) part 1
IPLODProject
 
Ibrahim ramadan paper
Ibrahim ramadan paperIbrahim ramadan paper
Ibrahim ramadan paper
Ibrahim Ramadan Abd-Elhamid
 
Carpenter "The Future of the Scholarly Record"
Carpenter "The Future of the Scholarly Record"Carpenter "The Future of the Scholarly Record"
Carpenter "The Future of the Scholarly Record"
National Information Standards Organization (NISO)
 
Dataset Sources Repositories.pptx
Dataset Sources Repositories.pptxDataset Sources Repositories.pptx
Dataset Sources Repositories.pptx
mantatheralyasriy
 
Transcript - DOIs to support citation of grey literature
Transcript - DOIs to support citation of grey literatureTranscript - DOIs to support citation of grey literature
Transcript - DOIs to support citation of grey literature
ARDC
 
Dataset Sources Repositories.pptx
Dataset Sources Repositories.pptxDataset Sources Repositories.pptx
Dataset Sources Repositories.pptx
mantatheralyasriy
 
Making Data Dynamic: Views from UC3, CDL
Making Data Dynamic: Views from UC3, CDLMaking Data Dynamic: Views from UC3, CDL
Making Data Dynamic: Views from UC3, CDL
Carly Strasser
 
Hello Open World - Semtech 2009
Hello Open World - Semtech 2009Hello Open World - Semtech 2009
Hello Open World - Semtech 2009
Alexandre Passant
 
David Shotton - Research Integrity: Integrity of the published record
David Shotton - Research Integrity: Integrity of the published recordDavid Shotton - Research Integrity: Integrity of the published record
David Shotton - Research Integrity: Integrity of the published record
Jisc
 
FAIR data: LOUD for all audiences
FAIR data: LOUD for all audiencesFAIR data: LOUD for all audiences
FAIR data: LOUD for all audiences
Alessandro Adamou
 
Toward universal information access on the digital object cloud
Toward universal information access on the digital object cloudToward universal information access on the digital object cloud
Toward universal information access on the digital object cloud
National Institute of Informatics
 
Research Knowledge Graphs at NFDI4DS & GESIS
Research Knowledge Graphs at NFDI4DS & GESISResearch Knowledge Graphs at NFDI4DS & GESIS
Research Knowledge Graphs at NFDI4DS & GESIS
Stefan Dietze
 
International Collaboration Networks in the Emerging (Big) Data Science
International Collaboration Networks in the Emerging (Big) Data ScienceInternational Collaboration Networks in the Emerging (Big) Data Science
International Collaboration Networks in the Emerging (Big) Data Science
datasciencekorea
 
DERI Overview March 2009
DERI Overview March 2009DERI Overview March 2009
DERI Overview March 2009
Liam Ó Móráin
 

Similar to Fair - Interoperability - Keith Russell (20)

IWSG Science Gateways
IWSG Science GatewaysIWSG Science Gateways
IWSG Science Gateways
 
DCC and FAIR initiatives
DCC and FAIR initiativesDCC and FAIR initiatives
DCC and FAIR initiatives
 
Managing Metadata for Science and Technology Studies: the RISIS case
Managing Metadata for Science and Technology Studies: the RISIS caseManaging Metadata for Science and Technology Studies: the RISIS case
Managing Metadata for Science and Technology Studies: the RISIS case
 
Recommender Systems based on Linked Open Data
Recommender Systems based on Linked Open DataRecommender Systems based on Linked Open Data
Recommender Systems based on Linked Open Data
 
Application and Methods of Deep Learning in IoT
Application and Methods of Deep Learning in IoTApplication and Methods of Deep Learning in IoT
Application and Methods of Deep Learning in IoT
 
Data Science
Data ScienceData Science
Data Science
 
Linked Open Data (LOD) part 1
Linked Open Data (LOD) part 1Linked Open Data (LOD) part 1
Linked Open Data (LOD) part 1
 
Ibrahim ramadan paper
Ibrahim ramadan paperIbrahim ramadan paper
Ibrahim ramadan paper
 
Carpenter "The Future of the Scholarly Record"
Carpenter "The Future of the Scholarly Record"Carpenter "The Future of the Scholarly Record"
Carpenter "The Future of the Scholarly Record"
 
Dataset Sources Repositories.pptx
Dataset Sources Repositories.pptxDataset Sources Repositories.pptx
Dataset Sources Repositories.pptx
 
Transcript - DOIs to support citation of grey literature
Transcript - DOIs to support citation of grey literatureTranscript - DOIs to support citation of grey literature
Transcript - DOIs to support citation of grey literature
 
Dataset Sources Repositories.pptx
Dataset Sources Repositories.pptxDataset Sources Repositories.pptx
Dataset Sources Repositories.pptx
 
Making Data Dynamic: Views from UC3, CDL
Making Data Dynamic: Views from UC3, CDLMaking Data Dynamic: Views from UC3, CDL
Making Data Dynamic: Views from UC3, CDL
 
Hello Open World - Semtech 2009
Hello Open World - Semtech 2009Hello Open World - Semtech 2009
Hello Open World - Semtech 2009
 
David Shotton - Research Integrity: Integrity of the published record
David Shotton - Research Integrity: Integrity of the published recordDavid Shotton - Research Integrity: Integrity of the published record
David Shotton - Research Integrity: Integrity of the published record
 
FAIR data: LOUD for all audiences
FAIR data: LOUD for all audiencesFAIR data: LOUD for all audiences
FAIR data: LOUD for all audiences
 
Toward universal information access on the digital object cloud
Toward universal information access on the digital object cloudToward universal information access on the digital object cloud
Toward universal information access on the digital object cloud
 
Research Knowledge Graphs at NFDI4DS & GESIS
Research Knowledge Graphs at NFDI4DS & GESISResearch Knowledge Graphs at NFDI4DS & GESIS
Research Knowledge Graphs at NFDI4DS & GESIS
 
International Collaboration Networks in the Emerging (Big) Data Science
International Collaboration Networks in the Emerging (Big) Data ScienceInternational Collaboration Networks in the Emerging (Big) Data Science
International Collaboration Networks in the Emerging (Big) Data Science
 
DERI Overview March 2009
DERI Overview March 2009DERI Overview March 2009
DERI Overview March 2009
 

More from ARDC

Introduction to ADA
Introduction to ADAIntroduction to ADA
Introduction to ADA
ARDC
 
Architecture and Standards
Architecture and StandardsArchitecture and Standards
Architecture and Standards
ARDC
 
Data Sharing and Release Legislation
Data Sharing and Release Legislation   Data Sharing and Release Legislation
Data Sharing and Release Legislation
ARDC
 
Australian Dementia Network (ADNet)
Australian Dementia Network (ADNet)Australian Dementia Network (ADNet)
Australian Dementia Network (ADNet)
ARDC
 
Investigator-initiated clinical trials: a community perspective
Investigator-initiated clinical trials: a community perspectiveInvestigator-initiated clinical trials: a community perspective
Investigator-initiated clinical trials: a community perspective
ARDC
 
NCRIS and the health domain
NCRIS and the health domainNCRIS and the health domain
NCRIS and the health domain
ARDC
 
International perspective for sharing publicly funded medical research data
International perspective for sharing publicly funded medical research dataInternational perspective for sharing publicly funded medical research data
International perspective for sharing publicly funded medical research data
ARDC
 
Clinical trials data sharing
Clinical trials data sharingClinical trials data sharing
Clinical trials data sharing
ARDC
 
Clinical trials and cohort studies
Clinical trials and cohort studiesClinical trials and cohort studies
Clinical trials and cohort studies
ARDC
 
Introduction to vision and scope
Introduction to vision and scopeIntroduction to vision and scope
Introduction to vision and scope
ARDC
 
FAIR for the future: embracing all things data
FAIR for the future: embracing all things dataFAIR for the future: embracing all things data
FAIR for the future: embracing all things data
ARDC
 
ARDC 2018 state engagements - Nov-Dec 2018 - Slides - Ian Duncan
ARDC 2018 state engagements - Nov-Dec 2018 - Slides - Ian DuncanARDC 2018 state engagements - Nov-Dec 2018 - Slides - Ian Duncan
ARDC 2018 state engagements - Nov-Dec 2018 - Slides - Ian Duncan
ARDC
 
Skilling-up-in-research-data-management-20181128
Skilling-up-in-research-data-management-20181128Skilling-up-in-research-data-management-20181128
Skilling-up-in-research-data-management-20181128
ARDC
 
Research data management and sharing of medical data
Research data management and sharing of medical dataResearch data management and sharing of medical data
Research data management and sharing of medical data
ARDC
 
Findable, Accessible, Interoperable and Reusable (FAIR) data
Findable, Accessible, Interoperable and Reusable (FAIR) dataFindable, Accessible, Interoperable and Reusable (FAIR) data
Findable, Accessible, Interoperable and Reusable (FAIR) data
ARDC
 
Applying FAIR principles to linked datasets: Opportunities and Challenges
Applying FAIR principles to linked datasets: Opportunities and ChallengesApplying FAIR principles to linked datasets: Opportunities and Challenges
Applying FAIR principles to linked datasets: Opportunities and Challenges
ARDC
 
How to make your data count webinar, 26 Nov 2018
How to make your data count webinar, 26 Nov 2018How to make your data count webinar, 26 Nov 2018
How to make your data count webinar, 26 Nov 2018
ARDC
 
Ready, Set, Go! Join the Top 10 FAIR Data Things Global Sprint
Ready, Set, Go! Join the Top 10 FAIR Data Things Global SprintReady, Set, Go! Join the Top 10 FAIR Data Things Global Sprint
Ready, Set, Go! Join the Top 10 FAIR Data Things Global Sprint
ARDC
 
How FAIR is your data? Copyright, licensing and reuse of data
How FAIR is your data? Copyright, licensing and reuse of dataHow FAIR is your data? Copyright, licensing and reuse of data
How FAIR is your data? Copyright, licensing and reuse of data
ARDC
 
Peter neish DMPs BoF eResearch 2018
Peter neish DMPs BoF eResearch 2018Peter neish DMPs BoF eResearch 2018
Peter neish DMPs BoF eResearch 2018
ARDC
 

More from ARDC (20)

Introduction to ADA
Introduction to ADAIntroduction to ADA
Introduction to ADA
 
Architecture and Standards
Architecture and StandardsArchitecture and Standards
Architecture and Standards
 
Data Sharing and Release Legislation
Data Sharing and Release Legislation   Data Sharing and Release Legislation
Data Sharing and Release Legislation
 
Australian Dementia Network (ADNet)
Australian Dementia Network (ADNet)Australian Dementia Network (ADNet)
Australian Dementia Network (ADNet)
 
Investigator-initiated clinical trials: a community perspective
Investigator-initiated clinical trials: a community perspectiveInvestigator-initiated clinical trials: a community perspective
Investigator-initiated clinical trials: a community perspective
 
NCRIS and the health domain
NCRIS and the health domainNCRIS and the health domain
NCRIS and the health domain
 
International perspective for sharing publicly funded medical research data
International perspective for sharing publicly funded medical research dataInternational perspective for sharing publicly funded medical research data
International perspective for sharing publicly funded medical research data
 
Clinical trials data sharing
Clinical trials data sharingClinical trials data sharing
Clinical trials data sharing
 
Clinical trials and cohort studies
Clinical trials and cohort studiesClinical trials and cohort studies
Clinical trials and cohort studies
 
Introduction to vision and scope
Introduction to vision and scopeIntroduction to vision and scope
Introduction to vision and scope
 
FAIR for the future: embracing all things data
FAIR for the future: embracing all things dataFAIR for the future: embracing all things data
FAIR for the future: embracing all things data
 
ARDC 2018 state engagements - Nov-Dec 2018 - Slides - Ian Duncan
ARDC 2018 state engagements - Nov-Dec 2018 - Slides - Ian DuncanARDC 2018 state engagements - Nov-Dec 2018 - Slides - Ian Duncan
ARDC 2018 state engagements - Nov-Dec 2018 - Slides - Ian Duncan
 
Skilling-up-in-research-data-management-20181128
Skilling-up-in-research-data-management-20181128Skilling-up-in-research-data-management-20181128
Skilling-up-in-research-data-management-20181128
 
Research data management and sharing of medical data
Research data management and sharing of medical dataResearch data management and sharing of medical data
Research data management and sharing of medical data
 
Findable, Accessible, Interoperable and Reusable (FAIR) data
Findable, Accessible, Interoperable and Reusable (FAIR) dataFindable, Accessible, Interoperable and Reusable (FAIR) data
Findable, Accessible, Interoperable and Reusable (FAIR) data
 
Applying FAIR principles to linked datasets: Opportunities and Challenges
Applying FAIR principles to linked datasets: Opportunities and ChallengesApplying FAIR principles to linked datasets: Opportunities and Challenges
Applying FAIR principles to linked datasets: Opportunities and Challenges
 
How to make your data count webinar, 26 Nov 2018
How to make your data count webinar, 26 Nov 2018How to make your data count webinar, 26 Nov 2018
How to make your data count webinar, 26 Nov 2018
 
Ready, Set, Go! Join the Top 10 FAIR Data Things Global Sprint
Ready, Set, Go! Join the Top 10 FAIR Data Things Global SprintReady, Set, Go! Join the Top 10 FAIR Data Things Global Sprint
Ready, Set, Go! Join the Top 10 FAIR Data Things Global Sprint
 
How FAIR is your data? Copyright, licensing and reuse of data
How FAIR is your data? Copyright, licensing and reuse of dataHow FAIR is your data? Copyright, licensing and reuse of data
How FAIR is your data? Copyright, licensing and reuse of data
 
Peter neish DMPs BoF eResearch 2018
Peter neish DMPs BoF eResearch 2018Peter neish DMPs BoF eResearch 2018
Peter neish DMPs BoF eResearch 2018
 

Recently uploaded

C1 Rubenstein AP HuG xxxxxxxxxxxxxx.pptx
C1 Rubenstein AP HuG xxxxxxxxxxxxxx.pptxC1 Rubenstein AP HuG xxxxxxxxxxxxxx.pptx
C1 Rubenstein AP HuG xxxxxxxxxxxxxx.pptx
mulvey2
 
How to Fix the Import Error in the Odoo 17
How to Fix the Import Error in the Odoo 17How to Fix the Import Error in the Odoo 17
How to Fix the Import Error in the Odoo 17
Celine George
 
Pengantar Penggunaan Flutter - Dart programming language1.pptx
Pengantar Penggunaan Flutter - Dart programming language1.pptxPengantar Penggunaan Flutter - Dart programming language1.pptx
Pengantar Penggunaan Flutter - Dart programming language1.pptx
Fajar Baskoro
 
คำศัพท์ คำพื้นฐานการอ่าน ภาษาอังกฤษ ระดับชั้น ม.1
คำศัพท์ คำพื้นฐานการอ่าน ภาษาอังกฤษ ระดับชั้น ม.1คำศัพท์ คำพื้นฐานการอ่าน ภาษาอังกฤษ ระดับชั้น ม.1
คำศัพท์ คำพื้นฐานการอ่าน ภาษาอังกฤษ ระดับชั้น ม.1
สมใจ จันสุกสี
 
RHEOLOGY Physical pharmaceutics-II notes for B.pharm 4th sem students
RHEOLOGY Physical pharmaceutics-II notes for B.pharm 4th sem studentsRHEOLOGY Physical pharmaceutics-II notes for B.pharm 4th sem students
RHEOLOGY Physical pharmaceutics-II notes for B.pharm 4th sem students
Himanshu Rai
 
The Diamonds of 2023-2024 in the IGRA collection
The Diamonds of 2023-2024 in the IGRA collectionThe Diamonds of 2023-2024 in the IGRA collection
The Diamonds of 2023-2024 in the IGRA collection
Israel Genealogy Research Association
 
What is Digital Literacy? A guest blog from Andy McLaughlin, University of Ab...
What is Digital Literacy? A guest blog from Andy McLaughlin, University of Ab...What is Digital Literacy? A guest blog from Andy McLaughlin, University of Ab...
What is Digital Literacy? A guest blog from Andy McLaughlin, University of Ab...
GeorgeMilliken2
 
MARY JANE WILSON, A “BOA MÃE” .
MARY JANE WILSON, A “BOA MÃE”           .MARY JANE WILSON, A “BOA MÃE”           .
MARY JANE WILSON, A “BOA MÃE” .
Colégio Santa Teresinha
 
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
Natural birth techniques - Mrs.Akanksha Trivedi Rama UniversityNatural birth techniques - Mrs.Akanksha Trivedi Rama University
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
Akanksha trivedi rama nursing college kanpur.
 
বাংলাদেশ অর্থনৈতিক সমীক্ষা (Economic Review) ২০২৪ UJS App.pdf
বাংলাদেশ অর্থনৈতিক সমীক্ষা (Economic Review) ২০২৪ UJS App.pdfবাংলাদেশ অর্থনৈতিক সমীক্ষা (Economic Review) ২০২৪ UJS App.pdf
বাংলাদেশ অর্থনৈতিক সমীক্ষা (Economic Review) ২০২৪ UJS App.pdf
eBook.com.bd (প্রয়োজনীয় বাংলা বই)
 
BÀI TẬP BỔ TRỢ TIẾNG ANH LỚP 9 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2024-2025 - ...
BÀI TẬP BỔ TRỢ TIẾNG ANH LỚP 9 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2024-2025 - ...BÀI TẬP BỔ TRỢ TIẾNG ANH LỚP 9 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2024-2025 - ...
BÀI TẬP BỔ TRỢ TIẾNG ANH LỚP 9 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2024-2025 - ...
Nguyen Thanh Tu Collection
 
NEWSPAPERS - QUESTION 1 - REVISION POWERPOINT.pptx
NEWSPAPERS - QUESTION 1 - REVISION POWERPOINT.pptxNEWSPAPERS - QUESTION 1 - REVISION POWERPOINT.pptx
NEWSPAPERS - QUESTION 1 - REVISION POWERPOINT.pptx
iammrhaywood
 
Digital Artefact 1 - Tiny Home Environmental Design
Digital Artefact 1 - Tiny Home Environmental DesignDigital Artefact 1 - Tiny Home Environmental Design
Digital Artefact 1 - Tiny Home Environmental Design
amberjdewit93
 
Walmart Business+ and Spark Good for Nonprofits.pdf
Walmart Business+ and Spark Good for Nonprofits.pdfWalmart Business+ and Spark Good for Nonprofits.pdf
Walmart Business+ and Spark Good for Nonprofits.pdf
TechSoup
 
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
Dr. Vinod Kumar Kanvaria
 
Main Java[All of the Base Concepts}.docx
Main Java[All of the Base Concepts}.docxMain Java[All of the Base Concepts}.docx
Main Java[All of the Base Concepts}.docx
adhitya5119
 
ANATOMY AND BIOMECHANICS OF HIP JOINT.pdf
ANATOMY AND BIOMECHANICS OF HIP JOINT.pdfANATOMY AND BIOMECHANICS OF HIP JOINT.pdf
ANATOMY AND BIOMECHANICS OF HIP JOINT.pdf
Priyankaranawat4
 
Life upper-Intermediate B2 Workbook for student
Life upper-Intermediate B2 Workbook for studentLife upper-Intermediate B2 Workbook for student
Life upper-Intermediate B2 Workbook for student
NgcHiNguyn25
 
Chapter 4 - Islamic Financial Institutions in Malaysia.pptx
Chapter 4 - Islamic Financial Institutions in Malaysia.pptxChapter 4 - Islamic Financial Institutions in Malaysia.pptx
Chapter 4 - Islamic Financial Institutions in Malaysia.pptx
Mohd Adib Abd Muin, Senior Lecturer at Universiti Utara Malaysia
 
How to Manage Your Lost Opportunities in Odoo 17 CRM
How to Manage Your Lost Opportunities in Odoo 17 CRMHow to Manage Your Lost Opportunities in Odoo 17 CRM
How to Manage Your Lost Opportunities in Odoo 17 CRM
Celine George
 

Recently uploaded (20)

C1 Rubenstein AP HuG xxxxxxxxxxxxxx.pptx
C1 Rubenstein AP HuG xxxxxxxxxxxxxx.pptxC1 Rubenstein AP HuG xxxxxxxxxxxxxx.pptx
C1 Rubenstein AP HuG xxxxxxxxxxxxxx.pptx
 
How to Fix the Import Error in the Odoo 17
How to Fix the Import Error in the Odoo 17How to Fix the Import Error in the Odoo 17
How to Fix the Import Error in the Odoo 17
 
Pengantar Penggunaan Flutter - Dart programming language1.pptx
Pengantar Penggunaan Flutter - Dart programming language1.pptxPengantar Penggunaan Flutter - Dart programming language1.pptx
Pengantar Penggunaan Flutter - Dart programming language1.pptx
 
คำศัพท์ คำพื้นฐานการอ่าน ภาษาอังกฤษ ระดับชั้น ม.1
คำศัพท์ คำพื้นฐานการอ่าน ภาษาอังกฤษ ระดับชั้น ม.1คำศัพท์ คำพื้นฐานการอ่าน ภาษาอังกฤษ ระดับชั้น ม.1
คำศัพท์ คำพื้นฐานการอ่าน ภาษาอังกฤษ ระดับชั้น ม.1
 
RHEOLOGY Physical pharmaceutics-II notes for B.pharm 4th sem students
RHEOLOGY Physical pharmaceutics-II notes for B.pharm 4th sem studentsRHEOLOGY Physical pharmaceutics-II notes for B.pharm 4th sem students
RHEOLOGY Physical pharmaceutics-II notes for B.pharm 4th sem students
 
The Diamonds of 2023-2024 in the IGRA collection
The Diamonds of 2023-2024 in the IGRA collectionThe Diamonds of 2023-2024 in the IGRA collection
The Diamonds of 2023-2024 in the IGRA collection
 
What is Digital Literacy? A guest blog from Andy McLaughlin, University of Ab...
What is Digital Literacy? A guest blog from Andy McLaughlin, University of Ab...What is Digital Literacy? A guest blog from Andy McLaughlin, University of Ab...
What is Digital Literacy? A guest blog from Andy McLaughlin, University of Ab...
 
MARY JANE WILSON, A “BOA MÃE” .
MARY JANE WILSON, A “BOA MÃE”           .MARY JANE WILSON, A “BOA MÃE”           .
MARY JANE WILSON, A “BOA MÃE” .
 
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
Natural birth techniques - Mrs.Akanksha Trivedi Rama UniversityNatural birth techniques - Mrs.Akanksha Trivedi Rama University
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
 
বাংলাদেশ অর্থনৈতিক সমীক্ষা (Economic Review) ২০২৪ UJS App.pdf
বাংলাদেশ অর্থনৈতিক সমীক্ষা (Economic Review) ২০২৪ UJS App.pdfবাংলাদেশ অর্থনৈতিক সমীক্ষা (Economic Review) ২০২৪ UJS App.pdf
বাংলাদেশ অর্থনৈতিক সমীক্ষা (Economic Review) ২০২৪ UJS App.pdf
 
BÀI TẬP BỔ TRỢ TIẾNG ANH LỚP 9 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2024-2025 - ...
BÀI TẬP BỔ TRỢ TIẾNG ANH LỚP 9 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2024-2025 - ...BÀI TẬP BỔ TRỢ TIẾNG ANH LỚP 9 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2024-2025 - ...
BÀI TẬP BỔ TRỢ TIẾNG ANH LỚP 9 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2024-2025 - ...
 
NEWSPAPERS - QUESTION 1 - REVISION POWERPOINT.pptx
NEWSPAPERS - QUESTION 1 - REVISION POWERPOINT.pptxNEWSPAPERS - QUESTION 1 - REVISION POWERPOINT.pptx
NEWSPAPERS - QUESTION 1 - REVISION POWERPOINT.pptx
 
Digital Artefact 1 - Tiny Home Environmental Design
Digital Artefact 1 - Tiny Home Environmental DesignDigital Artefact 1 - Tiny Home Environmental Design
Digital Artefact 1 - Tiny Home Environmental Design
 
Walmart Business+ and Spark Good for Nonprofits.pdf
Walmart Business+ and Spark Good for Nonprofits.pdfWalmart Business+ and Spark Good for Nonprofits.pdf
Walmart Business+ and Spark Good for Nonprofits.pdf
 
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
 
Main Java[All of the Base Concepts}.docx
Main Java[All of the Base Concepts}.docxMain Java[All of the Base Concepts}.docx
Main Java[All of the Base Concepts}.docx
 
ANATOMY AND BIOMECHANICS OF HIP JOINT.pdf
ANATOMY AND BIOMECHANICS OF HIP JOINT.pdfANATOMY AND BIOMECHANICS OF HIP JOINT.pdf
ANATOMY AND BIOMECHANICS OF HIP JOINT.pdf
 
Life upper-Intermediate B2 Workbook for student
Life upper-Intermediate B2 Workbook for studentLife upper-Intermediate B2 Workbook for student
Life upper-Intermediate B2 Workbook for student
 
Chapter 4 - Islamic Financial Institutions in Malaysia.pptx
Chapter 4 - Islamic Financial Institutions in Malaysia.pptxChapter 4 - Islamic Financial Institutions in Malaysia.pptx
Chapter 4 - Islamic Financial Institutions in Malaysia.pptx
 
How to Manage Your Lost Opportunities in Odoo 17 CRM
How to Manage Your Lost Opportunities in Odoo 17 CRMHow to Manage Your Lost Opportunities in Odoo 17 CRM
How to Manage Your Lost Opportunities in Odoo 17 CRM
 

Fair - Interoperability - Keith Russell

  • 1. FAIR Webinar Series 13 September 2017 #3 FAIR Data Principles: I is Interoperable
  • 2.
  • 3. Keith Russell ANDS An introduction to Interoperable under the FAIR Data Principles Simon Cox, David Lemon, Jonathan Yu CSIRO How they have made the research data in the OzNome project interoperable, not only for humans but also for machines Today’s speakers
  • 4. I is for Interoperable TO BE INTEROPERABLE: I1. (meta)data use a formal, accessible, shared, and broadly applicable language for knowledge representation. I2. (meta)data use vocabularies that follow FAIR principles. I3. (meta)data include qualified references to other (meta)data.
  • 5. Qualified references using Identifiers - Author: e.g. ORCID - Publication: e.g. DOI - Another data set: e.g. DOI - Software: e.g. DOI - Organisation: e.g. GRID - Grant: e.g. Grant ID - Projects: e.g. RAID
  • 6. Simon Cox, Jonathan Yu, CSIRO How they have made the research data in the OzNome project interoperable, not only for humans but also for machines Today’s speakers
  • 7. Resources on Interoperable Research Vocabularies Australia Identifiers for researchers Identifiers for grants Identifiers for projects Linking data with SCHOLIX Thing 12: Vocabularies for data description Thing 14: Identifiers and linked data
  • 8. Keith Russell ANDS An introduction to the Reusable FAIR Data Principles Margie Smith GeoScience Australia will discuss why Provenance information is critical to data re-use and how GA have approached attaching provenance information to data. Nerida Quartermas QUT will present on licensing frameworks and choosing a licence to make the data more reusable Next week: Reusable FAIR principles 20 Sept
  • 9. keith.russell@ands.org.au Keith Russell With the exception of third party images or where otherwise indicated, this work is licensed under the Creative Commons 4.0 International Attribution Licence. ANDS is supported by the Australian Government through the National Collaborative Research Infrastructure Strategy Program. Monash University leads the partnership with the Australian National University and CSIRO.