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Blue Brain Nexus - A knowledge graph for data-driven science https://bbp-nexus.epfl.ch/staging/docs/

From: Carole Goble <carole.goble@manchester.ac.uk>
Date: Wed, 3 Jan 2018 14:58:02 +0000
To: "public-bioschemas@w3.org" <public-bioschemas@w3.org>
Cc: Paolo Missier <paolo.missier@newcastle.ac.uk>, Stian Soiland-Reyes <soiland-reyes@manchester.ac.uk>, pinarpink@yahoo.com, carole.goble@manchester.ac.uk, "Curcin, Vasa" <vasa.curcin@kcl.ac.uk>
Message-ID: <3abfcdb4-1d99-f40d-e25a-7dc9b638014a@manchester.ac.uk>

Just saw this tweeted....

https://github.com/BlueBrain/nexus


  <https://github.com/BlueBrain/nexus#blue-brain-nexus---a-knowledge-graph-for-data-driven-science>Blue
  Brain Nexus - A knowledge graph for data-driven science

The Blue Brain Nexus is a provenance based, semantic enabled data 
management platform enabling the definition of an arbitrary domain of 
application for which there is a need to create and manage entities as 
well as their relations (e.g. provenance). For example, the domain of 
application managed by the Nexus platform deployed at Blue Brain is to 
digitally reconstruct and simulate the brain.

At the heart of the Blue Brain Nexus platform lies the Knowledge Graph, 
at Blue Brain, it will allow scientists to:

 1.

    Register and manage neuroscience relevant entity types through
    schemas that can reuse or extend community defined schemas (e.g.
    schema.org, *bioschema.org*, W3C-PROV) and ontologies (e.g. brain
    parcellation schemes, cell types, taxonomy).

 2.

    Submit data to the platform and describe their provenance using the
    W3C PROV model. Provenance is about how data or things are generated
    (e.g. protocols, methods used...), when (e.g. timeline) and by whom
    (e.g. people, software...). Provenance supports the data reliability
    and quality assessment as well as enables workflow reproducibility.
    Platform users can submit data either through web forms or
    programmatic interfaces.

 3.

    Search, discover, reuse and derive high-quality neuroscience data
    generated within and outside the platform for the purpose of driving
    their own scientific endeavours. Data can be examined by species,
    contributing laboratory, methodology, brain region, and data type,
    thereby allowing functionality not currently available elsewhere.
    The data are predominantly organized into atlases (e.g. Allen CCF,
    Waxholm) and linked to the KnowledgeSpace – a collaborative
    community-based encyclopedia linking brain research concepts to the
    latest data, models and literature.

It is to be noted that many other scientific fields (Astronomy, 
Agriculture, Bioinformatics, Pharmaceutical industry, ...) are in need 
of such a technology. Consequently, Blue Brain Nexus core technology is 
being developed to be *agnostic of the domain* it might be applied to.

-- 
Professor Carole Goble CBE FREng FBCS CITP
School of Computer Science
The University of Manchester
Manchester, UK

tel: +44 161 275 6195
email: carole.goble@manchester.ac.uk
twitter: @CaroleAnneGoble

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Received on Wednesday, 3 January 2018 14:58:28 UTC

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