a research data catalogue supporting blue growth: the bluebridge case

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

[email protected]

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


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”


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


Transparency, Openness,

Reproducibility

The BlueBRIDGE Way


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


The BlueBRIDGE Way:

Accessibility

By making published resources available

through multiple protocols

By providing for transparent Authentication

and Authorization

By enabling policies enforcement


The BlueBRIDGE Way:

Interoperability

By exposing the resources with metadata in

multiple formats

By promoting exploitation of ontologies and

controlled vocabularies


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


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

1

2

34

56

8

5

BlueBRIDGE way: an actual example

THANK YOU

A research data catalogue supporting Blue Growth: the BlueBRIDGE case 12April 3, 2017

https://bluebridge.d4science.org/catalogue

a research data catalogue supporting blue growth: the bluebridge case

Technology