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Sean Bechhofer
University of Manchester
sean.bechhofer@manchester.ac.uk
@seanbechhofer
RO Advisory Kick Off
Research Objec...
Why? Publication
• Publications are about argumentation: Convince
the reader of the validity of a position [Mesirov]
– Rep...
Why? Reproducible Science
3
Goble: SSI Collaborations Workshop 2014
Why? Preservation
4
Wf4Ever Final Review Presentations
Experimental Lifecycle
5
Define
Problem
Design
Find and
Repurpose
Inspect
Preserve
Publish
Modify
Execute
ROs as a Currency
6
Creator
Contributor
Collaborator
Curator
Reader
Finder
Trainer
Comparator
Re-User
Evaluator
Reviewer
T...
• An aggregation object that bundles together experimental
resources that are essential to a computational scientific stud...
Annotations
• Essential to the understanding and interpretation of the
scientific outcomes captured by a Research Object a...
RO Core
9
identification
aggregation
annotation
dependencies
provenance
checklists
versioning
Minim
Information
Model
Onto...
Vocabularies and Domains
• Thinking to date has been focused on “workflow-centric” ROs
(cf. Wf4Ever presentation to come)
...
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RO Advisory Kickoff Slides

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Slides from RO Advisory Board kickoff Meeting

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RO Advisory Kickoff Slides

  1. 1. Sean Bechhofer University of Manchester sean.bechhofer@manchester.ac.uk @seanbechhofer RO Advisory Kick Off Research Objects 1
  2. 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. 3. Why? Reproducible Science 3 Goble: SSI Collaborations Workshop 2014
  4. 4. Why? Preservation 4 Wf4Ever Final Review Presentations
  5. 5. Experimental Lifecycle 5 Define Problem Design Find and Repurpose Inspect Preserve Publish Modify Execute
  6. 6. ROs as a Currency 6 Creator Contributor Collaborator Curator Reader Finder Trainer Comparator Re-User Evaluator Reviewer Trainee Trainer Reader Publisher Curator Librarian Repository Manager
  7. 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 7
  8. 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 8
  9. 9. RO Core 9 identification aggregation annotation dependencies provenance checklists versioning Minim Information Model Ontology W3C PROV PAV, VoID Git OAI-ORE W3C OAM DOI, ORCID, PURL
  10. 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! 10

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