SlideShare a Scribd company logo
How do Working and Interest Groups
work?
2
 Introduction
 Working and Interest Groups
 Joining
 Adoption
 Starting
 Current
 Taxonomy
 Relations
Overview
3
 Why?
 Make Research work better
 Mission
 The Research Data Alliance (RDA) builds the social and
technical bridges that enable open sharing of data
 Vision
 We see researchers and innovators openly sharing data
across technologies, disciplines, and countries to
address the grand challenges of society
Introduction
4
 What is an Interest Group?
 Group around a common Interest
 Interest defined in a short charter
 Lightweight, many degrees of freedom
 What is a Working Group?
 Concrete problem
 Short timeframe (~18 months)
 Concrete Output (data exchange)
 Clear Adoption
Working and Interest groups
5
 Be registered on the website
 Subscribe to the group
 Get active in the discussion / produce the work
 Good idea: talk to existing members
 At Plenaries
 At other meetings
 Using email
Joining
6
 Key Issue
 Expected of WGs
 Please adopt relevant outcomes
Adoption
7
 ( BoF Session at Plenary )
 Write a Charter
 + Chairs
 + Initial membership
 Approval by TAB/Council
Starting an Interest Group
8
 ( BoF Session at Plenary / From Interest Group )
 Write a Case Statement
 Charter
 Value
 Engagement with existing work
 Work Plan
 Adoption Plan
 Initial Membership
 One month community review
 Review by TAB
 Council determines if there is consensus
 For more detail: https://www.rd-alliance.org/case-
statements.html
Starting a Working Group
9
 Working Groups and Interest Groups
 16 and 31
 Too many to name them all
 Some WGs that will deliver by end of year:
 PID Information Types WG
 Data Type Registries
 Metadata Standards Directory WG
 Data Foundation and Terminology
 Practical Policy
 Data Categories and Codes
Current Groups
10
WG/IG Taxonomy by Peter Wittenburg
3/25/2014
Cross-Discipline
Technical
Non-Technical
Discipline specific
11
WG/IG Taxonomy by Peter Wittenburg
Functional Layers Access Functional Layers Management
Find/Reference Find/Reference
Ref-Resolution Ref-Resolution
Access Access
interpret Manage
re-use/process Curate
Archive
Federate
12
Cross-
Disciplinary
Groups
Technical Metadata
W
G
Metadata Standards
Directory
A/D/E
DDRI A
IG
Research Data Provenance A/D/E
Data in Context A/D/E
Metadata A/D/E
Example of Pewi Taxonomy
A Find/Reference
D Interpret
E Re-use / Process
13
 Informal relations
 WG Collaboration Group
 Data Foundation Terminology
 PID Information Types
 Metadata
 Practical Policy
 Data Type Registries
 No Formal (technical) relations
Relations between groups
3/25/2014
14
Thank You

More Related Content

What's hot

Ask Not What the NIH Can Do For You; Ask What You Can Do For the NIH
Ask Not What the NIH Can Do For You; Ask What You Can Do For the NIH     Ask Not What the NIH Can Do For You; Ask What You Can Do For the NIH
Ask Not What the NIH Can Do For You; Ask What You Can Do For the NIH
Philip Bourne
 
Metadata mapping and vocabulary: consistency for all in scholarly communicati...
Metadata mapping and vocabulary: consistency for all in scholarly communicati...Metadata mapping and vocabulary: consistency for all in scholarly communicati...
Metadata mapping and vocabulary: consistency for all in scholarly communicati...
CILIP MDG
 
Lessons from Journal Research Data Policy Registry Pilot
Lessons from Journal Research Data Policy Registry PilotLessons from Journal Research Data Policy Registry Pilot
Lessons from Journal Research Data Policy Registry Pilot
Jisc RDM
 
Grant Funding Programme
Grant Funding ProgrammeGrant Funding Programme
Grant Funding Programme
Jisc RDM
 
RDA FAIR Data Maturity Model
RDA FAIR Data Maturity ModelRDA FAIR Data Maturity Model
RDA FAIR Data Maturity Model
OpenAIRE
 
20191010_Research data licensing project : activities in RDUF subcommittee
20191010_Research data licensing project : activities in RDUF subcommittee20191010_Research data licensing project : activities in RDUF subcommittee
20191010_Research data licensing project : activities in RDUF subcommittee
Yasuyuki Minamiyama
 
Recognising data sharing
Recognising data sharingRecognising data sharing
Recognising data sharing
Jisc RDM
 
RDA Data Innovation Forum: FAIRsharing.org, an output of the joint RDA/Force ...
RDA Data Innovation Forum: FAIRsharing.org, an output of the joint RDA/Force ...RDA Data Innovation Forum: FAIRsharing.org, an output of the joint RDA/Force ...
RDA Data Innovation Forum: FAIRsharing.org, an output of the joint RDA/Force ...
Peter McQuilton
 
Data management plan template
Data management plan templateData management plan template
Data management plan template
501 Commons
 
RDM requirements gathering with DAF
RDM requirements gathering with DAFRDM requirements gathering with DAF
RDM requirements gathering with DAF
Sarah Jones
 
The Perks and Challenges of Drawing Maps and Walking at the Same Time
The Perks and Challenges of Drawing Maps and Walking at the Same TimeThe Perks and Challenges of Drawing Maps and Walking at the Same Time
The Perks and Challenges of Drawing Maps and Walking at the Same Time
LIBER Europe
 
Introduction to Data Management Planning
Introduction to Data Management PlanningIntroduction to Data Management Planning
Introduction to Data Management Planning
Sarah Jones
 
H2020 open-data-pilot
H2020 open-data-pilotH2020 open-data-pilot
H2020 open-data-pilot
Sarah Jones
 
DMP EUDAT
DMP EUDATDMP EUDAT
DMP EUDAT
Sarah Jones
 
DCC and FAIR initiatives
DCC and FAIR initiativesDCC and FAIR initiatives
DCC and FAIR initiatives
Sarah Jones
 
HESA data, describing research activity and #REF2021
HESA data, describing research activity and #REF2021HESA data, describing research activity and #REF2021
HESA data, describing research activity and #REF2021
Jisc RDM
 
Data Management Planning for Researchers - An Introduction - 2015-02-18 - Un...
Data Management Planning for Researchers -  An Introduction - 2015-02-18 - Un...Data Management Planning for Researchers -  An Introduction - 2015-02-18 - Un...
Data Management Planning for Researchers - An Introduction - 2015-02-18 - Un...
Research Support Team, IT Services, University of Oxford
 
E research17 journal data policies - Natasha Simons and Kate LemMay
E research17 journal data policies - Natasha Simons and Kate LemMayE research17 journal data policies - Natasha Simons and Kate LemMay
E research17 journal data policies - Natasha Simons and Kate LemMay
ARDC
 
Developing a Data Management Plan
Developing a Data Management PlanDeveloping a Data Management Plan
Developing a Data Management Plan
Martin Donnelly
 
Implementing a Taxonomy in a Content Management Portal
Implementing a Taxonomy in a Content Management PortalImplementing a Taxonomy in a Content Management Portal
Implementing a Taxonomy in a Content Management Portal
Access Innovations, Inc.
 

What's hot (20)

Ask Not What the NIH Can Do For You; Ask What You Can Do For the NIH
Ask Not What the NIH Can Do For You; Ask What You Can Do For the NIH     Ask Not What the NIH Can Do For You; Ask What You Can Do For the NIH
Ask Not What the NIH Can Do For You; Ask What You Can Do For the NIH
 
Metadata mapping and vocabulary: consistency for all in scholarly communicati...
Metadata mapping and vocabulary: consistency for all in scholarly communicati...Metadata mapping and vocabulary: consistency for all in scholarly communicati...
Metadata mapping and vocabulary: consistency for all in scholarly communicati...
 
Lessons from Journal Research Data Policy Registry Pilot
Lessons from Journal Research Data Policy Registry PilotLessons from Journal Research Data Policy Registry Pilot
Lessons from Journal Research Data Policy Registry Pilot
 
Grant Funding Programme
Grant Funding ProgrammeGrant Funding Programme
Grant Funding Programme
 
RDA FAIR Data Maturity Model
RDA FAIR Data Maturity ModelRDA FAIR Data Maturity Model
RDA FAIR Data Maturity Model
 
20191010_Research data licensing project : activities in RDUF subcommittee
20191010_Research data licensing project : activities in RDUF subcommittee20191010_Research data licensing project : activities in RDUF subcommittee
20191010_Research data licensing project : activities in RDUF subcommittee
 
Recognising data sharing
Recognising data sharingRecognising data sharing
Recognising data sharing
 
RDA Data Innovation Forum: FAIRsharing.org, an output of the joint RDA/Force ...
RDA Data Innovation Forum: FAIRsharing.org, an output of the joint RDA/Force ...RDA Data Innovation Forum: FAIRsharing.org, an output of the joint RDA/Force ...
RDA Data Innovation Forum: FAIRsharing.org, an output of the joint RDA/Force ...
 
Data management plan template
Data management plan templateData management plan template
Data management plan template
 
RDM requirements gathering with DAF
RDM requirements gathering with DAFRDM requirements gathering with DAF
RDM requirements gathering with DAF
 
The Perks and Challenges of Drawing Maps and Walking at the Same Time
The Perks and Challenges of Drawing Maps and Walking at the Same TimeThe Perks and Challenges of Drawing Maps and Walking at the Same Time
The Perks and Challenges of Drawing Maps and Walking at the Same Time
 
Introduction to Data Management Planning
Introduction to Data Management PlanningIntroduction to Data Management Planning
Introduction to Data Management Planning
 
H2020 open-data-pilot
H2020 open-data-pilotH2020 open-data-pilot
H2020 open-data-pilot
 
DMP EUDAT
DMP EUDATDMP EUDAT
DMP EUDAT
 
DCC and FAIR initiatives
DCC and FAIR initiativesDCC and FAIR initiatives
DCC and FAIR initiatives
 
HESA data, describing research activity and #REF2021
HESA data, describing research activity and #REF2021HESA data, describing research activity and #REF2021
HESA data, describing research activity and #REF2021
 
Data Management Planning for Researchers - An Introduction - 2015-02-18 - Un...
Data Management Planning for Researchers -  An Introduction - 2015-02-18 - Un...Data Management Planning for Researchers -  An Introduction - 2015-02-18 - Un...
Data Management Planning for Researchers - An Introduction - 2015-02-18 - Un...
 
E research17 journal data policies - Natasha Simons and Kate LemMay
E research17 journal data policies - Natasha Simons and Kate LemMayE research17 journal data policies - Natasha Simons and Kate LemMay
E research17 journal data policies - Natasha Simons and Kate LemMay
 
Developing a Data Management Plan
Developing a Data Management PlanDeveloping a Data Management Plan
Developing a Data Management Plan
 
Implementing a Taxonomy in a Content Management Portal
Implementing a Taxonomy in a Content Management PortalImplementing a Taxonomy in a Content Management Portal
Implementing a Taxonomy in a Content Management Portal
 

Viewers also liked

Research Data Alliance: Research Data Sharing without barriers
Research Data Alliance: Research Data Sharing without barriersResearch Data Alliance: Research Data Sharing without barriers
Research Data Alliance: Research Data Sharing without barriers
Herman Stehouwer
 
Australian HL7 Working Group Meeting - Why we should attend
Australian HL7 Working Group Meeting - Why we should attendAustralian HL7 Working Group Meeting - Why we should attend
Australian HL7 Working Group Meeting - Why we should attend
Health Informatics New Zealand
 
The research data alliance - current state and looking forward
The research data alliance - current state and looking forwardThe research data alliance - current state and looking forward
The research data alliance - current state and looking forward
Herman Stehouwer
 
Research Data Alliance: Current Activities and Expected Impact
Research Data Alliance: Current Activities and Expected ImpactResearch Data Alliance: Current Activities and Expected Impact
Research Data Alliance: Current Activities and Expected Impact
Herman Stehouwer
 
Data Facilities Workshop - Panel on Current Concepts in Data Sharing & Intero...
Data Facilities Workshop - Panel on Current Concepts in Data Sharing & Intero...Data Facilities Workshop - Panel on Current Concepts in Data Sharing & Intero...
Data Facilities Workshop - Panel on Current Concepts in Data Sharing & Intero...
EarthCube
 
Who needs a board of directors?
Who needs a board of directors? Who needs a board of directors?
Who needs a board of directors?
Deborah Hicks Midanek
 
Research methodology Chapter 2
Research methodology Chapter 2Research methodology Chapter 2
Research methodology Chapter 2
Pulchowk Campus
 
Current and emerging scientific data curation practices
Current and emerging scientific data curation practicesCurrent and emerging scientific data curation practices
Current and emerging scientific data curation practices
Michael Day
 
Composition of the board of directors
Composition of the board of directorsComposition of the board of directors
Composition of the board of directors
ashlei Richards
 

Viewers also liked (9)

Research Data Alliance: Research Data Sharing without barriers
Research Data Alliance: Research Data Sharing without barriersResearch Data Alliance: Research Data Sharing without barriers
Research Data Alliance: Research Data Sharing without barriers
 
Australian HL7 Working Group Meeting - Why we should attend
Australian HL7 Working Group Meeting - Why we should attendAustralian HL7 Working Group Meeting - Why we should attend
Australian HL7 Working Group Meeting - Why we should attend
 
The research data alliance - current state and looking forward
The research data alliance - current state and looking forwardThe research data alliance - current state and looking forward
The research data alliance - current state and looking forward
 
Research Data Alliance: Current Activities and Expected Impact
Research Data Alliance: Current Activities and Expected ImpactResearch Data Alliance: Current Activities and Expected Impact
Research Data Alliance: Current Activities and Expected Impact
 
Data Facilities Workshop - Panel on Current Concepts in Data Sharing & Intero...
Data Facilities Workshop - Panel on Current Concepts in Data Sharing & Intero...Data Facilities Workshop - Panel on Current Concepts in Data Sharing & Intero...
Data Facilities Workshop - Panel on Current Concepts in Data Sharing & Intero...
 
Who needs a board of directors?
Who needs a board of directors? Who needs a board of directors?
Who needs a board of directors?
 
Research methodology Chapter 2
Research methodology Chapter 2Research methodology Chapter 2
Research methodology Chapter 2
 
Current and emerging scientific data curation practices
Current and emerging scientific data curation practicesCurrent and emerging scientific data curation practices
Current and emerging scientific data curation practices
 
Composition of the board of directors
Composition of the board of directorsComposition of the board of directors
Composition of the board of directors
 

Similar to How do working and interest groups work in RDA?

OSGIS: an introduction to the research data alliance
OSGIS: an introduction to the research data allianceOSGIS: an introduction to the research data alliance
OSGIS: an introduction to the research data alliance
Herman Stehouwer
 
RDA-NISO Interest Group on Privacy Implications of Research Data Sets
RDA-NISO Interest Group on Privacy Implications of Research Data SetsRDA-NISO Interest Group on Privacy Implications of Research Data Sets
RDA-NISO Interest Group on Privacy Implications of Research Data Sets
National Information Standards Organization (NISO)
 
Update on the Research Data Alliance 11 December 2014
Update on the Research Data Alliance 11 December 2014Update on the Research Data Alliance 11 December 2014
Update on the Research Data Alliance 11 December 2014
Research Data Alliance
 
RDA-NISO Working Group on Privacy Implications of Research Data
RDA-NISO Working Group on Privacy Implications of Research DataRDA-NISO Working Group on Privacy Implications of Research Data
RDA-NISO Working Group on Privacy Implications of Research Data
National Information Standards Organization (NISO)
 
Research Data Alliance Member Statistics July 2015
Research Data Alliance Member Statistics July 2015Research Data Alliance Member Statistics July 2015
Research Data Alliance Member Statistics July 2015
Research Data Alliance
 
Research Data Alliance Member Statistics August 2015
Research Data Alliance Member Statistics August 2015Research Data Alliance Member Statistics August 2015
Research Data Alliance Member Statistics August 2015
Research Data Alliance
 
Research Data Alliance Member Statistics September 2015
Research Data Alliance Member Statistics September 2015Research Data Alliance Member Statistics September 2015
Research Data Alliance Member Statistics September 2015
Research Data Alliance
 
Research Data Alliance Member Statistics June 2015
Research Data Alliance Member Statistics June 2015Research Data Alliance Member Statistics June 2015
Research Data Alliance Member Statistics June 2015
Research Data Alliance
 
Research Data Alliance Member Statistics October 2015
Research Data Alliance Member Statistics October 2015Research Data Alliance Member Statistics October 2015
Research Data Alliance Member Statistics October 2015
Research Data Alliance
 
Co p lance favourite model_170414
Co p lance favourite model_170414Co p lance favourite model_170414
Co p lance favourite model_170414
Lance Whitworth
 
Results: Recommendations for OAAP, CACUSS and NACADA
Results: Recommendations for OAAP, CACUSS and NACADAResults: Recommendations for OAAP, CACUSS and NACADA
Results: Recommendations for OAAP, CACUSS and NACADA
Tim Fricker
 
Jeroen Bosman & Bianca Kramer - Supporting open infrastructures? How to balan...
Jeroen Bosman & Bianca Kramer - Supporting open infrastructures? How to balan...Jeroen Bosman & Bianca Kramer - Supporting open infrastructures? How to balan...
Jeroen Bosman & Bianca Kramer - Supporting open infrastructures? How to balan...
CILIP ARLG Academic and Research Libraries Group
 
Hawkins, "Scitopia.org, A Discovery Tool Using Federated Search"
Hawkins, "Scitopia.org, A Discovery Tool Using Federated Search"Hawkins, "Scitopia.org, A Discovery Tool Using Federated Search"
Hawkins, "Scitopia.org, A Discovery Tool Using Federated Search"
National Information Standards Organization (NISO)
 
ESRC Knowledge Brokerage conference: the third sector
ESRC Knowledge Brokerage conference: the third sectorESRC Knowledge Brokerage conference: the third sector
ESRC Knowledge Brokerage conference: the third sector
Karl Wilding
 
Chapter 6
Chapter 6Chapter 6
Chapter 6
Ahmed Magdy
 
RDA Work Groups Outputs and Adoption - Early WG Report back session
RDA Work Groups Outputs and Adoption - Early WG Report back sessionRDA Work Groups Outputs and Adoption - Early WG Report back session
RDA Work Groups Outputs and Adoption - Early WG Report back session
Research Data Alliance
 
Research Data Alliance .. The Why, How, What ...
Research Data Alliance .. The Why, How, What ... Research Data Alliance .. The Why, How, What ...
Research Data Alliance .. The Why, How, What ...
Research Data Alliance
 
Oaug Change Management Sig
Oaug Change Management SigOaug Change Management Sig
Oaug Change Management Sig
Kathy Jacobs
 
Nerc Data Mgt Woorkshop 17 Feb 09
Nerc Data Mgt Woorkshop 17 Feb 09Nerc Data Mgt Woorkshop 17 Feb 09
Nerc Data Mgt Woorkshop 17 Feb 09
Research Information Network
 
Itsa Km Initiatve Presentation To Forums And Task Force
Itsa Km Initiatve Presentation To Forums And Task ForceItsa Km Initiatve Presentation To Forums And Task Force
Itsa Km Initiatve Presentation To Forums And Task Force
ITS America
 

Similar to How do working and interest groups work in RDA? (20)

OSGIS: an introduction to the research data alliance
OSGIS: an introduction to the research data allianceOSGIS: an introduction to the research data alliance
OSGIS: an introduction to the research data alliance
 
RDA-NISO Interest Group on Privacy Implications of Research Data Sets
RDA-NISO Interest Group on Privacy Implications of Research Data SetsRDA-NISO Interest Group on Privacy Implications of Research Data Sets
RDA-NISO Interest Group on Privacy Implications of Research Data Sets
 
Update on the Research Data Alliance 11 December 2014
Update on the Research Data Alliance 11 December 2014Update on the Research Data Alliance 11 December 2014
Update on the Research Data Alliance 11 December 2014
 
RDA-NISO Working Group on Privacy Implications of Research Data
RDA-NISO Working Group on Privacy Implications of Research DataRDA-NISO Working Group on Privacy Implications of Research Data
RDA-NISO Working Group on Privacy Implications of Research Data
 
Research Data Alliance Member Statistics July 2015
Research Data Alliance Member Statistics July 2015Research Data Alliance Member Statistics July 2015
Research Data Alliance Member Statistics July 2015
 
Research Data Alliance Member Statistics August 2015
Research Data Alliance Member Statistics August 2015Research Data Alliance Member Statistics August 2015
Research Data Alliance Member Statistics August 2015
 
Research Data Alliance Member Statistics September 2015
Research Data Alliance Member Statistics September 2015Research Data Alliance Member Statistics September 2015
Research Data Alliance Member Statistics September 2015
 
Research Data Alliance Member Statistics June 2015
Research Data Alliance Member Statistics June 2015Research Data Alliance Member Statistics June 2015
Research Data Alliance Member Statistics June 2015
 
Research Data Alliance Member Statistics October 2015
Research Data Alliance Member Statistics October 2015Research Data Alliance Member Statistics October 2015
Research Data Alliance Member Statistics October 2015
 
Co p lance favourite model_170414
Co p lance favourite model_170414Co p lance favourite model_170414
Co p lance favourite model_170414
 
Results: Recommendations for OAAP, CACUSS and NACADA
Results: Recommendations for OAAP, CACUSS and NACADAResults: Recommendations for OAAP, CACUSS and NACADA
Results: Recommendations for OAAP, CACUSS and NACADA
 
Jeroen Bosman & Bianca Kramer - Supporting open infrastructures? How to balan...
Jeroen Bosman & Bianca Kramer - Supporting open infrastructures? How to balan...Jeroen Bosman & Bianca Kramer - Supporting open infrastructures? How to balan...
Jeroen Bosman & Bianca Kramer - Supporting open infrastructures? How to balan...
 
Hawkins, "Scitopia.org, A Discovery Tool Using Federated Search"
Hawkins, "Scitopia.org, A Discovery Tool Using Federated Search"Hawkins, "Scitopia.org, A Discovery Tool Using Federated Search"
Hawkins, "Scitopia.org, A Discovery Tool Using Federated Search"
 
ESRC Knowledge Brokerage conference: the third sector
ESRC Knowledge Brokerage conference: the third sectorESRC Knowledge Brokerage conference: the third sector
ESRC Knowledge Brokerage conference: the third sector
 
Chapter 6
Chapter 6Chapter 6
Chapter 6
 
RDA Work Groups Outputs and Adoption - Early WG Report back session
RDA Work Groups Outputs and Adoption - Early WG Report back sessionRDA Work Groups Outputs and Adoption - Early WG Report back session
RDA Work Groups Outputs and Adoption - Early WG Report back session
 
Research Data Alliance .. The Why, How, What ...
Research Data Alliance .. The Why, How, What ... Research Data Alliance .. The Why, How, What ...
Research Data Alliance .. The Why, How, What ...
 
Oaug Change Management Sig
Oaug Change Management SigOaug Change Management Sig
Oaug Change Management Sig
 
Nerc Data Mgt Woorkshop 17 Feb 09
Nerc Data Mgt Woorkshop 17 Feb 09Nerc Data Mgt Woorkshop 17 Feb 09
Nerc Data Mgt Woorkshop 17 Feb 09
 
Itsa Km Initiatve Presentation To Forums And Task Force
Itsa Km Initiatve Presentation To Forums And Task ForceItsa Km Initiatve Presentation To Forums And Task Force
Itsa Km Initiatve Presentation To Forums And Task Force
 

Recently uploaded

20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 202420240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
Matthew Sinclair
 
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
Edge AI and Vision Alliance
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
Kari Kakkonen
 
Introduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - CybersecurityIntroduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - Cybersecurity
mikeeftimakis1
 
TrustArc Webinar - 2024 Global Privacy Survey
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc Webinar - 2024 Global Privacy Survey
TrustArc Webinar - 2024 Global Privacy Survey
TrustArc
 
How to use Firebase Data Connect For Flutter
How to use Firebase Data Connect For FlutterHow to use Firebase Data Connect For Flutter
How to use Firebase Data Connect For Flutter
Daiki Mogmet Ito
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
Uni Systems S.M.S.A.
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
Alpen-Adria-Universität
 
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfUnlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Malak Abu Hammad
 
UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5
DianaGray10
 
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AIMind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
Kumud Singh
 
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERPBest 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
Pixlogix Infotech
 
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and MilvusBuilding Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
Zilliz
 
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAUHCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
panagenda
 
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with SlackLet's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
shyamraj55
 
“I’m still / I’m still / Chaining from the Block”
“I’m still / I’m still / Chaining from the Block”“I’m still / I’m still / Chaining from the Block”
“I’m still / I’m still / Chaining from the Block”
Claudio Di Ciccio
 
20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 202420240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
Matthew Sinclair
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
名前 です男
 
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
SOFTTECHHUB
 
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Speck&Tech
 

Recently uploaded (20)

20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 202420240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
 
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
 
Introduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - CybersecurityIntroduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - Cybersecurity
 
TrustArc Webinar - 2024 Global Privacy Survey
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc Webinar - 2024 Global Privacy Survey
TrustArc Webinar - 2024 Global Privacy Survey
 
How to use Firebase Data Connect For Flutter
How to use Firebase Data Connect For FlutterHow to use Firebase Data Connect For Flutter
How to use Firebase Data Connect For Flutter
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
 
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfUnlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
 
UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5
 
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AIMind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
 
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERPBest 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
 
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and MilvusBuilding Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
 
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAUHCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
 
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with SlackLet's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
 
“I’m still / I’m still / Chaining from the Block”
“I’m still / I’m still / Chaining from the Block”“I’m still / I’m still / Chaining from the Block”
“I’m still / I’m still / Chaining from the Block”
 
20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 202420240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
 
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
 
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
 

How do working and interest groups work in RDA?

  • 1. How do Working and Interest Groups work?
  • 2. 2  Introduction  Working and Interest Groups  Joining  Adoption  Starting  Current  Taxonomy  Relations Overview
  • 3. 3  Why?  Make Research work better  Mission  The Research Data Alliance (RDA) builds the social and technical bridges that enable open sharing of data  Vision  We see researchers and innovators openly sharing data across technologies, disciplines, and countries to address the grand challenges of society Introduction
  • 4. 4  What is an Interest Group?  Group around a common Interest  Interest defined in a short charter  Lightweight, many degrees of freedom  What is a Working Group?  Concrete problem  Short timeframe (~18 months)  Concrete Output (data exchange)  Clear Adoption Working and Interest groups
  • 5. 5  Be registered on the website  Subscribe to the group  Get active in the discussion / produce the work  Good idea: talk to existing members  At Plenaries  At other meetings  Using email Joining
  • 6. 6  Key Issue  Expected of WGs  Please adopt relevant outcomes Adoption
  • 7. 7  ( BoF Session at Plenary )  Write a Charter  + Chairs  + Initial membership  Approval by TAB/Council Starting an Interest Group
  • 8. 8  ( BoF Session at Plenary / From Interest Group )  Write a Case Statement  Charter  Value  Engagement with existing work  Work Plan  Adoption Plan  Initial Membership  One month community review  Review by TAB  Council determines if there is consensus  For more detail: https://www.rd-alliance.org/case- statements.html Starting a Working Group
  • 9. 9  Working Groups and Interest Groups  16 and 31  Too many to name them all  Some WGs that will deliver by end of year:  PID Information Types WG  Data Type Registries  Metadata Standards Directory WG  Data Foundation and Terminology  Practical Policy  Data Categories and Codes Current Groups
  • 10. 10 WG/IG Taxonomy by Peter Wittenburg 3/25/2014 Cross-Discipline Technical Non-Technical Discipline specific
  • 11. 11 WG/IG Taxonomy by Peter Wittenburg Functional Layers Access Functional Layers Management Find/Reference Find/Reference Ref-Resolution Ref-Resolution Access Access interpret Manage re-use/process Curate Archive Federate
  • 12. 12 Cross- Disciplinary Groups Technical Metadata W G Metadata Standards Directory A/D/E DDRI A IG Research Data Provenance A/D/E Data in Context A/D/E Metadata A/D/E Example of Pewi Taxonomy A Find/Reference D Interpret E Re-use / Process
  • 13. 13  Informal relations  WG Collaboration Group  Data Foundation Terminology  PID Information Types  Metadata  Practical Policy  Data Type Registries  No Formal (technical) relations Relations between groups 3/25/2014