Slides from RO Advisory Board kickoff Meeting

1. Sean Bechhofer
University of Manchester
sean.bechhofer@manchester.ac.uk
@seanbechhofer
RO Advisory Kick Off
Research Objects
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2. Why? Publication
• Publications are about argumentation: Convince
the reader of the validity of a position [Mesirov]
– Reproducible Results System: facilitates
enactment and publication of reproducible
research.
• Results are reinforced by reproducability [De
Roure]
– Explicit representation of method.
• Verifiability as a key factor in scientific discovery.
J. Mesirov Accessible Reproducible Research Science 327(5964), p.415-416,
2010 http://dx.doi.org/10.1126/science.1179653
D. De Roure and C. Goble Anchors in Shifting Sand: the
Primacy of Method in the Web of Data Web Science Conference 2010,
Raleigh NC, 2010 http://eprints.ecs.soton.ac.uk/20817/
Stodden et. al. Reproducible Research: Addressing the Need for Data and
Code Sharing in Computational Science Computing in Science and
Engineering 12(5), p.8-13, 2010 http://dx.doi.org/10.1109/MCSE.2010.113

3. Why? Reproducible Science
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Goble: SSI Collaborations Workshop 2014

4. Why? Preservation
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Wf4Ever Final Review Presentations

5. Experimental Lifecycle
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Define
Problem
Design
Find and
Repurpose
Inspect
Preserve
Publish
Modify
Execute

6. ROs as a Currency
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Creator
Contributor
Collaborator
Curator
Reader
Finder
Trainer
Comparator
Re-User
Evaluator
Reviewer
Trainee
Trainer
Reader
Publisher
Curator
Librarian
Repository
Manager

7. • An aggregation object that bundles together experimental
resources that are essential to a computational scientific study
or investigation.
– An identity
– A suite of annotations (which can be about this bundle
and/or the resources of the bundle)
– Aggregated Resources:
 data used
 results produced in an experiment study;
 (computational) methods employed to
produce and analyse that data;
 people involved in the investigation.
Research Objects
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8. Annotations
• Essential to the understanding and interpretation of the
scientific outcomes captured by a Research Object as well as
the reuse of the resources within it.
– Provenance information about the experiments, the study
or any other experimental resources
– Evolution information about the Research Object and its
resources,
– Descriptions of computational methods
– Dependency information or settings
about the experiment executions
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9. RO Core
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identification
aggregation
annotation
dependencies
provenance
checklists
versioning
Minim
Information
Model
Ontology
W3C PROV
PAV, VoID
Git
OAI-ORE
W3C OAM
DOI, ORCID,
PURL

10. Vocabularies and Domains
• Thinking to date has been focused on “workflow-centric” ROs
(cf. Wf4Ever presentation to come)
– Vocabularies covering, e.g. workflow abstractions and
provenance information
• Need focus on other use cases, domains and problems
– RO Advisory Board!
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