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The Research Data Alliance 
Creating the culture and technology for an international data infrastructure 
Mark A. Parsons 
Secretary General 
! 
! 
International Federation of Library Associations 
Lyon, France 
20 August 2014 
Unless otherwise noted, the slides in this presentation are licensed by Mark A. Parsons under a Creative Commons Attribution-Share Alike 3.0 License
All of society’s grand challenges require diverse 
(often large) data to to be shared and integrated 
across cultures, scales, and technologies.
Research Data Alliance 
Vision 
Researchers and innovators openly share data across 
technologies, disciplines, and countries to address the 
grand challenges of society. 
! 
Mission 
RDA builds the social and technical bridges that enable 
open sharing of data. 
!
RDA Presentation to the International Federation of Library Associations
RDA Presentation to the International Federation of Library Associations
RDA Presentation to the International Federation of Library Associations
RDA Presentation to the International Federation of Library Associations
Dynamics of Infrastructure 
Edwards, et al. 2007 Understanding Infrastructure: Dynamics, 
Tensions, and Design. 
• Infrastructures become “ubiquitous, accessible, reliable, and 
transparent” as they mature. 
• Systems Networks Inter-networks 
• “system-building, characterized by the deliberate and successful 
design of technology-based services.” 
• “technology transfer across domains and locations results in 
variations on the original design, as well as the emergence of 
competing systems.” 
• Finally, “a process of consolidation characterized by gateways 
that allow dissimilar systems to be linked into networks.”
Not what, but 
When is infrastructure?
Not what, but 
When and 
Who is infrastructure?
Bridges and 
Gateways 
Gateways are often wrongly 
understood as “technologies,” 
i.e. hardware or software 
alone. A more accurate 
approach conceives them as 
combining a technical solution 
with a social choice, i.e. a 
standard, both of which must 
be integrated into existing 
users’ communities of 
practice. Because of this, 
gateways rarely perform 
perfectly. 
— Edwards et al. 2007
Ecology of Infrastructure Figure derived from F. Millerand 
based on S. L. Star & K. Ruhleder 
(1996)
"Data Deluge," Brett Ryder, The Economist, Feb. 2010
Data Blizzard? 
© Mindy Veissid | Mindy Veissid Photography.
Diverse snow crystal photos by Kenneth G. Libbrecht 
snowcrystals.com
Distribution of NSF Awards by Dollar Value 
! 
© 2009 The Board of Trustees, University of Illinois 
The long tail of science Heidorn 2008
What libraries can do 
• Help researchers describe their data 
• Help them pick formats to store it in 
• Provide guidance and services around choosing repositories and 
providing access 
• Provide guidance on privacy, licensing, and sharing issues 
• Ensure preservation of appropriate data for future research reuse 
Slide courtesy Dean Krafft, Cornell University Library
What more libraries can do 
• Collaborate at scale across institutions and disciplines 
• Help link the data with its research context to make it more discoverable 
and reusable 
• Help link it to publications about the research 
• Provide collaborative tools and spaces for researchers to work with the 
data 
• Provide the people and organisational support to help researchers to 
manage research data 
Slide courtesy Dean Krafft, Cornell University Library
What can’t libraries do 
• Handle the Data Deluge – “really big data” 
• Fund this ourselves – we need a business model to support the costs 
• Do work that doesn’t clearly benefit our own researchers and 
institutions 
• Provide cyberinfrastructure to support analysis, simulation, and 
visualization 
Slide courtesy Dean Krafft, Cornell University Library
Libraries must contribute to 
the local, regional, and global 
data/information/knowledge 
infrastructure!
Deliverables that make data work 
“Create - Adopt - Use” 
• Adopted code, policy, specifications, standards, or practices that 
enable data sharing 
• “Harvestable” efforts for which 12-18 months of work can eliminate 
a roadblock 
• Efforts that have substantive applicability to 
groups within the data community but may 
RDA Principles 
not apply to all 
Openness 
Consensus 
• Efforts that can start today 
Balance 
Harmonization 
Community Driven 
Non-profit
RDA Organisational Framework
Other 
Private6% 
12% 
Government 
17% Academia 
65% 
Distribution of 2,164 Individual RDA Members in 86 Countries 
20 August 2014 
Map courtesy traveltip.org 
Europe 
49% 
North America 
38% 
Austral-pacific 
5% 
Africa 
2% 
South 
America 
1% 
Asia 
5%
RDA Organisational Framework
New RDA Leadership since Plenary 1 
Fran Berman 
25 
§ Council: 
§ Fran Berman (US), co-Chair 
§ Patrick Cocquet (France) 
§ Tony Hey (US) 
§ Kaye Raseroka (Botswana) 
§ Doris Wedlich (Germany) 
§ Ross Wilkinson (Australia) 
§ John Wood (UK), co-Chair 
• Secretariat 
§ Hilary Hanahoe 
§ Fotis Karayannis 
§ Kathy Fontaine 
§ Mark Parsons, Sec Gen 
§ Herman Stehouwer 
! 
• Organisational Assembly 
§ Juan Bicarregui, co-Chair 
§ Walter Stewart, co-Chair 
! 
§ Technical Advisory Board 
§ Bridget Almas 
§ Simon Cox 
§ Peter Fox 
§ Francoise Genova 
§ Bill Michener 
§ Beth Plale, Chair 
§ Susanna-Assunta Sansone, 
§ Jamie Shiers 
§ Rainer Stotzka 
§ Andrew Treloar, Chair 
§ Peter Wittenburg
New RDA Leadership since Plenary 1 
Fran Berman 
25 
§ Council: 
§ Fran Berman (US), co-Chair 
§ Patrick Cocquet (France) 
§ Tony Hey (US) 
§ Kaye Raseroka (Botswana) 
§ Doris Wedlich (Germany) 
§ Ross Wilkinson (Australia) 
§ John Wood (UK), co-Chair 
• Secretariat 
§ Hilary Hanahoe 
§ Fotis Karayannis 
§ Kathy Fontaine 
§ Mark Parsons, Sec Gen 
§ Herman Stehouwer 
! 
• Organisational Assembly 
§ Juan Bicarregui, co-Chair 
§ Walter Stewart, co-Chair 
! 
§ Technical Advisory Board 
§ Bridget Almas 
§ Simon Cox 
§ Peter Fox 
§ Francoise Genova 
TAB 
§ Bill Michener 
Beth Plale, Nominations 
§ Chair 
§ Susanna-open Assunta until Sansone, 
31 
§ Jamie Shiers 
August 
§ Rainer Stotzka 
§ Andrew Treloar, Chair 
§ Peter Wittenburg
Organisational 
Partners—key linkages 
• Organisations play an essential 
role as adopters! 
• Organisational Assembly = 
Organisational Members and 
Affiliates. 
• Organisational Advisory Board will 
represent Organisational 
Assembly to Council 
• Organisational Members pay 
(modest) dues and have a special 
voice within RDA helping ensure 
RDA products stay relevant 
Image courtesy anybots.com
Organisations Ready to Join 
§ Organisational Members: 
§ Alliance for Permanent Access 
§ American University Library 
§ Australian National Data Service 
§ Barcelona Supercomputing Center - Centro 
Nacional de Supercomputación 
§ Columbia University Library 
§ CNRI 
§ CSC 
§ Digital Curation Center 
§ EIROForum IT Working Group 
§ eResearch Services and Scholarly 
Application Development Division of 
Information Services, Griffith University 
§ European Data Infrastructure (EUDAT) 
§ National Institute of Advanced Industrial 
Science and Technology (AIST), Japan 
§ International Association of STM Publishers 
§ Internet2 
§ Microsoft Research 
§ NZ eScience Infrastructure 
§ Purdue University Libraries 
§ Research Data Canada 
§ Scholarly Publishing and Academic 
Resources Coalition (SPARC) 
§ Washington University in St. Louis Libraries 
§ Science and Technology Facilities Council 
! 
§ Affiliates 
§ CODATA 
§ ICSU World Data System 
§ ORCID 
§ DataCite 
§ CASRAI 
§ Global Alliance for Genomics and Health
RDA Organisational Framework
RDA Colloquium—RDAC 
• The group of government and non-profit science funding 
organisations that support the data and science communities to 
participate in RDA activities: 
• US Government (NSF and NIST) 
• European Commission 
• Australian Government 
• Allows agencies the opportunity to share funding program plans 
that support data exchange, interoperability, and data 
infrastructures across the globe, and thereby amplify their impact. 
• Related to but distinct from RDA. A parallel organisation.
RDA Organisational Framework
RDA Working Groups 
• Brokering Governance* 
• Data Citation WG 
• Data Description Registry 
Interoperability 
• Data Foundation and Terminology WG 
• Data Type Registries WG 
• Metadata Standards Directory 
Working Group 
• PID Information Types WG 
• Practical Policy WG 
• RDA/CODATA Summer Schools in 
Data Science and Cloud Computing 
in the Developing World* 
• RDA/WDS Publishing Data 
Bibliometrics WG 
• RDA/WDS Publishing Data Services 
WG 
• RDA/WDS Publishing Data Workflows 
WG 
• Repository Audit and Certification 
DSA–WDS Partnership WG 
• Standardisation of Data Categories 
and Codes WG 
• The BioSharing Registry: connecting 
data policies, standards & databases 
in life sciences* 
• Urban Quality of Life Indicators 
• Wheat Data Interoperability WG 
* in review
RDA Interest Groups 
• Agricultural Data Interoperability IG 
• Big Data Analytics IG 
• Biodiversity Data Integration IG 
• Brokering IG 
• Community Capability Model IG 
• Data Fabric IG* 
• Data for Development 
• Data in Context IG 
• Development of cloud computing capacity and 
education in developing world research 
• Digital Practices in History and Ethnography IG 
• Domain Repositories Interest Group 
• Education and Training on handling of research 
data 
• ELIXIR Bridging Force IG* 
• Engagement IG 
• Ethics and Social Aspects of Data* 
• Federated Identity Management 
• Geospatial IG* 
• Long tail of research data IG 
• Marine Data Harmonization IG 
• Metabolomics 
• Metadata IG 
• PID Interest Group 
• Preservation e-Infrastructure IG 
• RDA/CODATA Legal Interoperability IG 
• RDA/CODATA Materials Data, Infrastructure & 
Interoperability IG 
• RDA/WDS Certification of Digital Repositories IG 
• RDA/WDS Publishing Data Cost Recovery for 
Data Centres 
• RDA/WDS Publishing Data IG 
• Research data needs of the Photon and Neutron 
Science community 
• Research Data Provenance 
• Service Management IG 
• Structural Biology IG 
• Toxicogenomics Interoperability IG 
* in review
Get involved! 
• Join RDA as an individual member supporting our principles at 
http://rd-alliance.org 
• Join as an Organisational Member (nominal fee) or an 
Organisational Affiliate (jointly sponsored efforts). 
• Initiate or join an Interest Group 
• Propose or join a Working Group 
• Attend the RDA Plenaries 
Coming together is a beginning; 
keeping together is progress; 
working together is success. 
—Henry Ford
Plenary 4 Amsterdam 
©2013 Pecoff Studios Inc 
22-24 September 2014
Info: 
enquiries@rd-alliance.org 
@resdatall
Regional RDAs 
• RDA/United States, Australian National Data Service, RDA/Europe, 
• Implement RDA deliverables locally and enhance adoption. 
• Ensure regional or national issues are addressed globally. 
• Support plenaries and support attendance at plenaries.
Working 
Group Deliverables Adopters/Users 
Data 
Founda*ons 
and 
Terminology Data 
Organisa*onal 
Model, 
OIF, 
EUDAT, 
DASISH 
Defined 
terminology 
in 
a 
registry 
Data 
Type 
Registries Federa*on 
between 
data 
type 
registries CNRI, 
EUDAT, 
IDF 
Persistent 
Iden*fier 
Informa*on 
Types Core 
informa*onal 
types, 
DKRZ 
Prototype 
protocol 
and 
API 
Prac*cal 
Policy Example 
policy 
sets EUDAT, 
Chapel 
Hill, 
DKRZ, 
(all 
par*cipants) 
Standardiza*on 
of 
Data 
Categories 
and 
Codes BeOer 
language 
codes TLA, 
Paradisec, 
ISO 
Metadata 
Standards 
Directory Metadata 
Directory Dublin 
Core, 
Dataone, 
MRC, 
Jisc, 
NEON, 
NIST, 
CLARIN, 
DDI, 
DPN, 
OGF 
Data 
Cita*on: 
making 
data 
citable Cita*on 
of 
dynamic 
data 
streams EUDAT, 
etc. 
DSA-­‐WDS 
Cer*fica*on Merger 
of 
DSA 
and 
WDS 
cer*fica*on DSA, 
WDS 
Wheat 
Data 
Interoperability 
Group Wheat 
Linked 
data 
framework INRA, 
FAO, 
CIMMYT 
Data 
Descrip*on 
Registry 
Interoperability 
between 
registries. 
Interoperability 
(bilateral 
prototypes) 
ANDS, 
DATA-­‐PASS, 
Dryad, 
Thomson 
Reuters 
DCI, 
VIVO, 
CERN, 
DANS, 
DA| 
RDA Working Group Outputs

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RDA Presentation to the International Federation of Library Associations

  • 1. The Research Data Alliance Creating the culture and technology for an international data infrastructure Mark A. Parsons Secretary General ! ! International Federation of Library Associations Lyon, France 20 August 2014 Unless otherwise noted, the slides in this presentation are licensed by Mark A. Parsons under a Creative Commons Attribution-Share Alike 3.0 License
  • 2. All of society’s grand challenges require diverse (often large) data to to be shared and integrated across cultures, scales, and technologies.
  • 3. Research Data Alliance Vision Researchers and innovators openly share data across technologies, disciplines, and countries to address the grand challenges of society. ! Mission RDA builds the social and technical bridges that enable open sharing of data. !
  • 8. Dynamics of Infrastructure Edwards, et al. 2007 Understanding Infrastructure: Dynamics, Tensions, and Design. • Infrastructures become “ubiquitous, accessible, reliable, and transparent” as they mature. • Systems Networks Inter-networks • “system-building, characterized by the deliberate and successful design of technology-based services.” • “technology transfer across domains and locations results in variations on the original design, as well as the emergence of competing systems.” • Finally, “a process of consolidation characterized by gateways that allow dissimilar systems to be linked into networks.”
  • 9. Not what, but When is infrastructure?
  • 10. Not what, but When and Who is infrastructure?
  • 11. Bridges and Gateways Gateways are often wrongly understood as “technologies,” i.e. hardware or software alone. A more accurate approach conceives them as combining a technical solution with a social choice, i.e. a standard, both of which must be integrated into existing users’ communities of practice. Because of this, gateways rarely perform perfectly. — Edwards et al. 2007
  • 12. Ecology of Infrastructure Figure derived from F. Millerand based on S. L. Star & K. Ruhleder (1996)
  • 13. "Data Deluge," Brett Ryder, The Economist, Feb. 2010
  • 14. Data Blizzard? © Mindy Veissid | Mindy Veissid Photography.
  • 15. Diverse snow crystal photos by Kenneth G. Libbrecht snowcrystals.com
  • 16. Distribution of NSF Awards by Dollar Value ! © 2009 The Board of Trustees, University of Illinois The long tail of science Heidorn 2008
  • 17. What libraries can do • Help researchers describe their data • Help them pick formats to store it in • Provide guidance and services around choosing repositories and providing access • Provide guidance on privacy, licensing, and sharing issues • Ensure preservation of appropriate data for future research reuse Slide courtesy Dean Krafft, Cornell University Library
  • 18. What more libraries can do • Collaborate at scale across institutions and disciplines • Help link the data with its research context to make it more discoverable and reusable • Help link it to publications about the research • Provide collaborative tools and spaces for researchers to work with the data • Provide the people and organisational support to help researchers to manage research data Slide courtesy Dean Krafft, Cornell University Library
  • 19. What can’t libraries do • Handle the Data Deluge – “really big data” • Fund this ourselves – we need a business model to support the costs • Do work that doesn’t clearly benefit our own researchers and institutions • Provide cyberinfrastructure to support analysis, simulation, and visualization Slide courtesy Dean Krafft, Cornell University Library
  • 20. Libraries must contribute to the local, regional, and global data/information/knowledge infrastructure!
  • 21. Deliverables that make data work “Create - Adopt - Use” • Adopted code, policy, specifications, standards, or practices that enable data sharing • “Harvestable” efforts for which 12-18 months of work can eliminate a roadblock • Efforts that have substantive applicability to groups within the data community but may RDA Principles not apply to all Openness Consensus • Efforts that can start today Balance Harmonization Community Driven Non-profit
  • 23. Other Private6% 12% Government 17% Academia 65% Distribution of 2,164 Individual RDA Members in 86 Countries 20 August 2014 Map courtesy traveltip.org Europe 49% North America 38% Austral-pacific 5% Africa 2% South America 1% Asia 5%
  • 25. New RDA Leadership since Plenary 1 Fran Berman 25 § Council: § Fran Berman (US), co-Chair § Patrick Cocquet (France) § Tony Hey (US) § Kaye Raseroka (Botswana) § Doris Wedlich (Germany) § Ross Wilkinson (Australia) § John Wood (UK), co-Chair • Secretariat § Hilary Hanahoe § Fotis Karayannis § Kathy Fontaine § Mark Parsons, Sec Gen § Herman Stehouwer ! • Organisational Assembly § Juan Bicarregui, co-Chair § Walter Stewart, co-Chair ! § Technical Advisory Board § Bridget Almas § Simon Cox § Peter Fox § Francoise Genova § Bill Michener § Beth Plale, Chair § Susanna-Assunta Sansone, § Jamie Shiers § Rainer Stotzka § Andrew Treloar, Chair § Peter Wittenburg
  • 26. New RDA Leadership since Plenary 1 Fran Berman 25 § Council: § Fran Berman (US), co-Chair § Patrick Cocquet (France) § Tony Hey (US) § Kaye Raseroka (Botswana) § Doris Wedlich (Germany) § Ross Wilkinson (Australia) § John Wood (UK), co-Chair • Secretariat § Hilary Hanahoe § Fotis Karayannis § Kathy Fontaine § Mark Parsons, Sec Gen § Herman Stehouwer ! • Organisational Assembly § Juan Bicarregui, co-Chair § Walter Stewart, co-Chair ! § Technical Advisory Board § Bridget Almas § Simon Cox § Peter Fox § Francoise Genova TAB § Bill Michener Beth Plale, Nominations § Chair § Susanna-open Assunta until Sansone, 31 § Jamie Shiers August § Rainer Stotzka § Andrew Treloar, Chair § Peter Wittenburg
  • 27. Organisational Partners—key linkages • Organisations play an essential role as adopters! • Organisational Assembly = Organisational Members and Affiliates. • Organisational Advisory Board will represent Organisational Assembly to Council • Organisational Members pay (modest) dues and have a special voice within RDA helping ensure RDA products stay relevant Image courtesy anybots.com
  • 28. Organisations Ready to Join § Organisational Members: § Alliance for Permanent Access § American University Library § Australian National Data Service § Barcelona Supercomputing Center - Centro Nacional de Supercomputación § Columbia University Library § CNRI § CSC § Digital Curation Center § EIROForum IT Working Group § eResearch Services and Scholarly Application Development Division of Information Services, Griffith University § European Data Infrastructure (EUDAT) § National Institute of Advanced Industrial Science and Technology (AIST), Japan § International Association of STM Publishers § Internet2 § Microsoft Research § NZ eScience Infrastructure § Purdue University Libraries § Research Data Canada § Scholarly Publishing and Academic Resources Coalition (SPARC) § Washington University in St. Louis Libraries § Science and Technology Facilities Council ! § Affiliates § CODATA § ICSU World Data System § ORCID § DataCite § CASRAI § Global Alliance for Genomics and Health
  • 30. RDA Colloquium—RDAC • The group of government and non-profit science funding organisations that support the data and science communities to participate in RDA activities: • US Government (NSF and NIST) • European Commission • Australian Government • Allows agencies the opportunity to share funding program plans that support data exchange, interoperability, and data infrastructures across the globe, and thereby amplify their impact. • Related to but distinct from RDA. A parallel organisation.
  • 32. RDA Working Groups • Brokering Governance* • Data Citation WG • Data Description Registry Interoperability • Data Foundation and Terminology WG • Data Type Registries WG • Metadata Standards Directory Working Group • PID Information Types WG • Practical Policy WG • RDA/CODATA Summer Schools in Data Science and Cloud Computing in the Developing World* • RDA/WDS Publishing Data Bibliometrics WG • RDA/WDS Publishing Data Services WG • RDA/WDS Publishing Data Workflows WG • Repository Audit and Certification DSA–WDS Partnership WG • Standardisation of Data Categories and Codes WG • The BioSharing Registry: connecting data policies, standards & databases in life sciences* • Urban Quality of Life Indicators • Wheat Data Interoperability WG * in review
  • 33. RDA Interest Groups • Agricultural Data Interoperability IG • Big Data Analytics IG • Biodiversity Data Integration IG • Brokering IG • Community Capability Model IG • Data Fabric IG* • Data for Development • Data in Context IG • Development of cloud computing capacity and education in developing world research • Digital Practices in History and Ethnography IG • Domain Repositories Interest Group • Education and Training on handling of research data • ELIXIR Bridging Force IG* • Engagement IG • Ethics and Social Aspects of Data* • Federated Identity Management • Geospatial IG* • Long tail of research data IG • Marine Data Harmonization IG • Metabolomics • Metadata IG • PID Interest Group • Preservation e-Infrastructure IG • RDA/CODATA Legal Interoperability IG • RDA/CODATA Materials Data, Infrastructure & Interoperability IG • RDA/WDS Certification of Digital Repositories IG • RDA/WDS Publishing Data Cost Recovery for Data Centres • RDA/WDS Publishing Data IG • Research data needs of the Photon and Neutron Science community • Research Data Provenance • Service Management IG • Structural Biology IG • Toxicogenomics Interoperability IG * in review
  • 34. Get involved! • Join RDA as an individual member supporting our principles at http://rd-alliance.org • Join as an Organisational Member (nominal fee) or an Organisational Affiliate (jointly sponsored efforts). • Initiate or join an Interest Group • Propose or join a Working Group • Attend the RDA Plenaries Coming together is a beginning; keeping together is progress; working together is success. —Henry Ford
  • 35. Plenary 4 Amsterdam ©2013 Pecoff Studios Inc 22-24 September 2014
  • 37. Regional RDAs • RDA/United States, Australian National Data Service, RDA/Europe, • Implement RDA deliverables locally and enhance adoption. • Ensure regional or national issues are addressed globally. • Support plenaries and support attendance at plenaries.
  • 38. Working Group Deliverables Adopters/Users Data Founda*ons and Terminology Data Organisa*onal Model, OIF, EUDAT, DASISH Defined terminology in a registry Data Type Registries Federa*on between data type registries CNRI, EUDAT, IDF Persistent Iden*fier Informa*on Types Core informa*onal types, DKRZ Prototype protocol and API Prac*cal Policy Example policy sets EUDAT, Chapel Hill, DKRZ, (all par*cipants) Standardiza*on of Data Categories and Codes BeOer language codes TLA, Paradisec, ISO Metadata Standards Directory Metadata Directory Dublin Core, Dataone, MRC, Jisc, NEON, NIST, CLARIN, DDI, DPN, OGF Data Cita*on: making data citable Cita*on of dynamic data streams EUDAT, etc. DSA-­‐WDS Cer*fica*on Merger of DSA and WDS cer*fica*on DSA, WDS Wheat Data Interoperability Group Wheat Linked data framework INRA, FAO, CIMMYT Data Descrip*on Registry Interoperability between registries. Interoperability (bilateral prototypes) ANDS, DATA-­‐PASS, Dryad, Thomson Reuters DCI, VIVO, CERN, DANS, DA| RDA Working Group Outputs