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Infrastructure, relationships, trust, and RDA
Mark A. Parsons

0000-0002-7723-0950

Secretary General 

e-Infrastructures & RDA for data intensive science

Paris, France

22 September 2015
research infrastructure vs. e-infrastructure
“Research infrastructure
is stuff like telescopes”
"HST-SM4" by Ruffnax (Crew of
STS-125)
Overwhelming data
volume
Artist rendition courtesy SKA
Organisation
research infrastructure vs. e-infrastructure
a false dichotomy
e-Infrastructure is research infrastructure.
Modern research infrastructure is (or at least
requires) e-Infrastructure.
It’s about the data
Conceptions of Infrastructure
• Infrastructure — French 1875; English 1927 (originally a military context)
• Spatial data infrastructure — c. 1990 (or earlier)
• Information infrastructure — c. 1993
• Cyberinfrastructure — USA c. 2003
• e-Infrastructure — UK c. 2006 (really took off c. 2009-10 with eIRG and ESFRI)
• Hybrid data infrastructure and infrastructure-as-a-service — c. 2011
• Data infrastructure — ??
Google Books Ngram Viewer
1875 - 2008
infrastructure
Infrastructure
Infrastructure is hard to conceive and describe
because when it works, it’s transparent,
ubiquitous, and embedded in our daily work.
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
Infrastructure is
Relationships, interactions, and connections
	 between people, technologies, and institutions
(that helps data flow and be useful)
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.
Fran	
  Berman,	
  Research	
  Data	
  Alliance
“Create - Adopt - Use”
(in 12-18 months)
Systems
Interoperability
Adopted Policy
Sustainable Economics
Common Types, 

Standards, Metadata
Traffic	
  Image:	
  	
  

Mike	
  Gonzalez
Adopted Community
Practice
Training, Education,
Workforce
Shared Principles
• Openness
• Consensus
• Balance
• Harmonization
• Community Driven
• Non-profit
The Research Data Alliance Community Today
Total RDA Community Members: 3243
from 103 countries
56 Working and Interest Groups
RDA Organisational 

Members and Affiliates
• A basic vocabulary of foundational terminology and query tool to
make sure we know what we’re talking about.

• A data type model and registry (“MIME-types” for data) to help
tools interpret, display, and process data.

• A persistent identifier type registry to help search engines
understand what they are pointing to and retrieving.

• A basic set of machine actionable rules to enhance trust
Initial Products—adopt one today!
• A metadata standards directory so we can describe similar things
consistently

• A dynamic-data citation methodology so we can reference precise
subsets of changing data.

• Semantically linked terms describing wheat data so we can share
harvest and related information around the world

• Services and methods for finding data across multiple registries, to
help cross disciplinary and multi-facetted discovery.
New Products—adopt one today!
• A unified repository certification scheme to reduce confusion and
improve trust.

• A suite of data publishing-related services for

• measuring bibliometrics

• managing data workflows

• interconnecting articles and data
Next Products—coming next Plenary!
1st: Save the data. This is hard.
2nd: Share the data. This is harder.
Some themes amidst the difference
1. Persistent Identiers for data, documents, people,
organisations, instruments—Everything!

2. Certifying Trust in assertions, evidence, organisations,
processes… 

3. The value of Conversations, Relationships, and Mediation
— an agile network effect.
Some themes amidst the difference
1. Persistent Identiers for data, documents, people,
organisations, instruments—Everything!

2. Certifying Trust in assertions, evidence, organisations,
processes… 

3. The value of Conversations, Relationships, and Mediation
— an agile network effect.
Trust
• When or do we need to certify trust? Do we?

• We must preserve the freedom to tinker.

• Build in decentralization where possible. Any centralization must be
community governed.

• Trust is built through

• shared experience— e.g., RDA Plenaries

• shared perspectives — RDA is a forum for engagement and constructive
disagreement

• actual reuse and adoption — in RDA consensus is defined through use.

• sustained performance — RDA seeks to build a broad coalition of
international support
Some amateur thoughts on trust and
sharing and infrastructure
See you tomorrow!
CNAM, Paris, France

23 - 25 September 2015
Info:

enquiries@rd-alliance.org
@resdatall




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Infrastructure, relationships, trust, and RDA

  • 1. Unless otherwise noted, the slides in this presentation are licensed by Mark A. Parsons under a Creative Commons Attribution-Share Alike 3.0 License Infrastructure, relationships, trust, and RDA Mark A. Parsons 0000-0002-7723-0950 Secretary General e-Infrastructures & RDA for data intensive science Paris, France 22 September 2015
  • 2. research infrastructure vs. e-infrastructure
  • 3. “Research infrastructure is stuff like telescopes” "HST-SM4" by Ruffnax (Crew of STS-125)
  • 4. Overwhelming data volume Artist rendition courtesy SKA Organisation
  • 5. research infrastructure vs. e-infrastructure a false dichotomy
  • 6. e-Infrastructure is research infrastructure. Modern research infrastructure is (or at least requires) e-Infrastructure. It’s about the data
  • 7. Conceptions of Infrastructure • Infrastructure — French 1875; English 1927 (originally a military context) • Spatial data infrastructure — c. 1990 (or earlier) • Information infrastructure — c. 1993 • Cyberinfrastructure — USA c. 2003 • e-Infrastructure — UK c. 2006 (really took off c. 2009-10 with eIRG and ESFRI) • Hybrid data infrastructure and infrastructure-as-a-service — c. 2011 • Data infrastructure — ?? Google Books Ngram Viewer 1875 - 2008 infrastructure Infrastructure
  • 8. Infrastructure is hard to conceive and describe because when it works, it’s transparent, ubiquitous, and embedded in our daily work.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13. 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.”
  • 14. Not what, but When is infrastructure?
  • 15. Not what, but When and Who is infrastructure?
  • 16. 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
  • 17. Infrastructure is Relationships, interactions, and connections between people, technologies, and institutions (that helps data flow and be useful)
  • 18. 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.
  • 19. Fran  Berman,  Research  Data  Alliance “Create - Adopt - Use” (in 12-18 months) Systems Interoperability Adopted Policy Sustainable Economics Common Types, 
 Standards, Metadata Traffic  Image:    
 Mike  Gonzalez Adopted Community Practice Training, Education, Workforce
  • 20. Shared Principles • Openness • Consensus • Balance • Harmonization • Community Driven • Non-prot
  • 21. The Research Data Alliance Community Today Total RDA Community Members: 3243 from 103 countries 56 Working and Interest Groups
  • 23. • A basic vocabulary of foundational terminology and query tool to make sure we know what we’re talking about. • A data type model and registry (“MIME-types” for data) to help tools interpret, display, and process data. • A persistent identier type registry to help search engines understand what they are pointing to and retrieving. • A basic set of machine actionable rules to enhance trust Initial Products—adopt one today!
  • 24. • A metadata standards directory so we can describe similar things consistently • A dynamic-data citation methodology so we can reference precise subsets of changing data. • Semantically linked terms describing wheat data so we can share harvest and related information around the world • Services and methods for nding data across multiple registries, to help cross disciplinary and multi-facetted discovery. New Products—adopt one today!
  • 25. • A unied repository certication scheme to reduce confusion and improve trust. • A suite of data publishing-related services for • measuring bibliometrics • managing data workflows • interconnecting articles and data Next Products—coming next Plenary!
  • 26. 1st: Save the data. This is hard.
  • 27. 2nd: Share the data. This is harder.
  • 28. Some themes amidst the difference 1. Persistent Identiers for data, documents, people, organisations, instruments—Everything! 2. Certifying Trust in assertions, evidence, organisations, processes… 3. The value of Conversations, Relationships, and Mediation — an agile network effect.
  • 29. Some themes amidst the difference 1. Persistent Identiers for data, documents, people, organisations, instruments—Everything! 2. Certifying Trust in assertions, evidence, organisations, processes… 3. The value of Conversations, Relationships, and Mediation — an agile network effect. Trust
  • 30. • When or do we need to certify trust? Do we? • We must preserve the freedom to tinker. • Build in decentralization where possible. Any centralization must be community governed. • Trust is built through • shared experience— e.g., RDA Plenaries • shared perspectives — RDA is a forum for engagement and constructive disagreement • actual reuse and adoption — in RDA consensus is dened through use. • sustained performance — RDA seeks to build a broad coalition of international support Some amateur thoughts on trust and sharing and infrastructure
  • 31. See you tomorrow! CNAM, Paris, France 23 - 25 September 2015