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BlueBRIDGE receives funding from the European Union’s Horizon 2020
research and innovation programme under grant agreement No. 675680 www.bluebridge-vres.eu
A Research Data Catalogue supporting Blue
Growth: the BlueBRIDGE case
M. Assante & L. Candela
BlueBRIDGE Workshop “FAIR friendly research data catalogues: How far are we?”
03 April 2017
Barcelona, Spain
BlueBRIDGE project objective
A research data catalogue supporting Blue Growth: the BlueBRIDGE case 1
To implement and operate a set of Virtual
Research Environments (VREs) facilitating
communities of scientists, innovators from
SMEs and educators in their knowledge
production chain:
• From the initial phases, data collection and
aggregation, to the production of indicators for
competent authorities and investors.
April 3, 2017
BlueBRIDGE (BB) VREs
April 3, 2017 A research data catalogue supporting Blue Growth: the BlueBRIDGE case 2
Inte
gra
tes
D4Science.org Infrastructure
Unified Resource Space
Powered by gCubeEn
ab
les
VRE VRE VRE
WPS
VRE / Vlab / Collaboratory, Science Gateway
BB VREs thematics & products
April 3, 2017 A research data catalogue supporting Blue Growth: the BlueBRIDGE case 3
VREs support production of scientific knowledge:
assessing the status of fish stocks and producing a GRSF
analysing socio-economic performance in aquaculture
fisheries & habitat degradation monitoring
By exploiting VRE services users generate heterogeneous [research] products: e.g.
Distribution Maps
Records
Enhanced Publications
Graphs
…
FAIR and FAIRness
• FAIR is a set of (metadata-based) principles
aiming at making research outcomes Findable,
Accessible, Interoperable, & Reusable
• … not a standard
• … not equal to semantic web /Linked Data/RDF
• … not only for human users
• … not equal to “Open”
April 3, 2017 A research data catalogue supporting Blue Growth: the BlueBRIDGE case 4
BlueBRIDGE FAIRness settings
• What is worth being FAIR
• Every [research] product
• When
• In every step of the research lifecycle thus to foster collaborative open-science practices
• Where
• Within and beyond Virtual Research Environments
• How
• By leveraging a comprehensive set of services operated by the D4Science Infrastructure
April 3, 2017 A research data catalogue supporting Blue Growth: the BlueBRIDGE case 5
Transparency, Openness,
Reproducibility
The BlueBRIDGE Way
April 3, 2017 A research data catalogue supporting Blue Growth: the BlueBRIDGE case 6
https://bluebridge.d4science.org/catalogue
Services
Access
&
Reuse
• Custom items
• Multi-tenancy
• VRE-friendly
DCAT
Dis
sem
ina
te
Pu
bli
sh
VRE
The BlueBRIDGE Way:
Findability
By extending the concept of resources datasets, methods/algorithms, research objects, and services
By assigning to resources unique identifiers and
rich and extensible metadata
By publishing resources in tailored and global
catalogues supporting keyword, faceted and temporal/geo discovery
April 3, 2017 A research data catalogue supporting Blue Growth: the BlueBRIDGE case 7
The BlueBRIDGE Way:
Accessibility
By making published resources available
through multiple protocols
By providing for transparent Authentication
and Authorization
By enabling policies enforcement
April 3, 2017 A research data catalogue supporting Blue Growth: the BlueBRIDGE case 8
The BlueBRIDGE Way:
Interoperability
By exposing the resources with metadata in
multiple formats
By promoting exploitation of ontologies and
controlled vocabularies
April 3, 2017 A research data catalogue supporting Blue Growth: the BlueBRIDGE case 9
The BlueBRIDGE Way:
Reusability
By systematically provide resources with (a) a
clear licence (b) citation and attribution
statements
By systematically generating provenance
metadata
By allowing the execution of the experiment
in the same environment
April 3, 2017 A research data catalogue supporting Blue Growth: the BlueBRIDGE case 10
A research data catalogue supporting Blue Growth: the BlueBRIDGE case
Tom is looking
for an algorithm for his
research
Finds the algorithm on
the Data catalogue
The BB service verifies
Access policies and
downloads
the algorithm on-the-fly
Tom executes
the algorithm
on his data,
multiple times
Tom got a
positive/negative
result
and can publish it
along with the
computation on
the catalogue for
Reuse
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BlueBRIDGE way: an actual example