FAIR data overview
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SUMMARY What is FAIR data?
The FAIR ecosystem
Plans and how to realise
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(FAIR) DATA STEWARDSHIP
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DATA STEWARDSHIP Combination of all expertise to treat data well in
a project:■ Experiment design and data-design;■ Re-use of existing data where possible;■ Planning of the storage, networking and
computing infrastructure;■ Data acquisition and processing;■ Data publishing in a format that allows functional
interlinking of data(sets) as well as in a format suitable for long-term preservation.
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FAIR DATA STEWARDSHIP Combination of all expertise to treat data well in
a project:■ Experiment design and data-design;■ Re-use of existing data where possible;■ Planning of the storage, networking and computing
infrastructure;■ Data acquisition and processing;■ Data publishing in a format that allows functional
interlinking of data(sets) as well as in a format suitable for long-term preservation.
FAIR Data
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DATA STEWARDSHIP – PROCESS VIEW
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DATA STEWARDSHIP – SUSTAINABILITY VIEW
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Produces Consumes
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Produces Consumes
storage
sustainability
maintenance
license
privacy security
stewardship
access
?
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Produces Consumes
RDFMIAPE
DBMS Excel
APISQL SPARQL Metadat
a
DICOM
MIRIAMSemantics
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Produces Consumes
access
find
query
format
licenseintegrate
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WHAT IS FAIR DATA?FAIR Data aims to support existing communities in their attempts to enable valuable scientific data and knowledge to be published and utilised in a ‘FAIR’ manner.
Findable - (meta)data is uniquely and persistently identifiable. Should have basic machine readable descriptive metadata.
Accessible - data is reachable and accessible by humans and machines using standard formats and protocols.
Interoperable - (meta)data is machine readable and annotated with resolvable vocabularies/ontologies.
Reusable - (meta)data is sufficiently well-described to allow (semi)automated integration with other compatible data sources.
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THE FAIR ECOSYSTEM
FAIR Data Principles
FAIR Data Protocol
FAIR Data Resources
FAIR Data Core Technologies
FAIR Data Systems/Tools
Normative
Artefact
Software
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FAIR ECOSYSTEM - NORMATIVE LEVEL FAIR Data Principles - general principles guiding
FAIR data solutions;
FAIR Data Protocol - complying with the FAIR Data Principles, provide guidelines for implementing FAIR data solutions, e.g., standards, APIs, technologies, …;
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FAIR DATA PROTOCOL
Findable - standards for describing the dataset with the relevant metadata;
Accessible - standards for represent and access the data according to the defined usage license;
Interoperable - standards for machine readable descriptions of the (meta)data and (semantic)annotation;
Reusable - standards for semantic annotation of the (meta)data supporting machine reasoning, and standards for defining data provenance and support citation;
The standards include technologies (e.g., RDF, nano pub, JSON, OWL, etc.) as well as protocols and APIs.
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FAIR ECOSYSTEM - ARTEFACT LEVEL FAIR Data Resource - datasets expressed using
one of the prescribed standards of the FAIR Data Protocol and with metadata complying with the protocol.
Annotation Ontology - reference conceptual model used to provide semantics to elements of FAIR Data Resources through annotation.
Controlled vocabularies, dictionaries, etc.
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FAIR DATA RESOURCEDatasets expressed using one of the prescribed standards of the FAIR Data Protocol, with metadata complying with the protocol and license. The original dataset is transformed into a FAIR format and proper metadata and license are added to produce a FAIR Data Resource. The original and the FAIR version can co-exist, each one fulfilling its own purpose.
FAIR Conversion
FAIR Data Resource
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FAIR DATA RESOURCE
Data Creation
FAIR Data Resource
FAIR Data Creation
FAIR Data Resource
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SHARING DATAI would like to exploit common genotype-phenotype relations between Alzheimer’s
Disease and Huntington’s Disease…I need to combine AD and HD data…
I can help with that!I can help with that!
Source: Marcos Roos
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SHARING DATA
Source: Marcos Roos
???
Here’s my data, have
fun!Here’s my data, have
fun!
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SHARING LINKABLE DATA
Source: Marcos Roos
I can go straight to answering my questions with data from multiple data owners!
Patients will be so pleased with this speed-up!
Here’s my Linked Data,
have fun!Here’s my
Linked Data, have fun!
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Raw data(many formats)
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Raw data(many formats)
Processed data(primary storage format)
Initial transformation
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Raw data(many formats)
Processed data(primary storage format)
ProvenanceInitial transformation
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Raw data(many formats)
Processed data(primary storage format)
FAIR transformation
FAIR (meta)data(RDF,XML etc.)
ProvenanceInitial transformation
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Raw data(many formats)
Processed data(primary storage format)
FAIR transformation
FAIR (meta)data(RDF,XML etc.)
ProvenanceInitial transformation
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Raw data(many formats)
FAIR download(in local format)
Processed data(primary storage format)
FAIR transformation
FAIR (meta)data(RDF,XML etc.)
ProvenanceInitial transformation
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Raw data(many formats)
FAIR download(in local format)
Processed data(primary storage format)
FAIR transformation
FAIR (meta)data(RDF,XML etc.)
High-PerformanceAnalysis
ProvenanceInitial transformation
Analysis transformation
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FAIR DATA APPLICATION ECOSYSTEM (NL APPROACH)
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FAIR DATA RESOURCE
FAIR transformation
FAIR Data Resource
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BRING YOUR OWN DATA - BYOD Goals:
■ Learn how to make data linkable “hands-on” with experts
■ Create a “telling story” to demonstrate its use
Composition:■ Data owners – specialists on given datasets■ Data interoperability experts■ Domain experts
Source: Marcos Roos
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BYOD
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FAIRIFIER
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FAIRIFIER
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FAIR DATA MODEL REGISTRY
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FAIRIFIER AND FAIR DATA MODEL REGISTRY
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A particular class of FAIR Data System that provides access to published datasets. The datasets can be external or internal to the FAIR Data Point. Also, the source data can be a regular (non-FAIR) dataset or a FAIR Data Resource. If the source data is non-FAIR, the FAIR Data Point needs to made the necessary FAIR transformations on the fly.
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FAIR DATA POINT
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A particular class of FAIR Data System to provide support for data interoperability;
Supports publication and access to FAIR data. Fosters an ecosystems of applications and
services; Federated architecture: different FAIRports
(and other FAIR Data Systems) are interconnectable;
Supports citations of datasets and data items; Provides metrics for data usage and citation;
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FAIR DATA PUBLICATION
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FAIR DATA ACCESS
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DISTRIBUTED ARCHITECTURE
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F A IR
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FAIRPORT ECOSYSTEM
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FAIRPORT
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WORK ORGANISATION (NL APPROACH)
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HOW TO REALISEDTL
National FAIR data engineering team
BBMRI
2.0
Elixir
OtherProject
ODE
X4A
LL
ENPADASI
TRAI
TEA
TRIS
FAIR Data IG(P.I.s with
data)
Data SACG.M., B.M., M.G.
Data Core Team
FAIR Data Executive TeamL.B. (CTO), R.H., P.B., M.S., J.B., J.W.
engineers in theFAIR Data virtual team
Core FAIR
TechnologyFAIR Data V.T.
FAIR Data V.T.
FAIR Data V.T.
FAIR Data V.T.
FAIR Data V.T.
FAIR Data V.T.
Local “DTLs”/ projectsprojec
ts
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QUESTIONS?