Atovaquone and ELQ-300 combination therapy: A novel dual-site ...
FAIRness through a novel combination of Web technologies
-
Upload
research-data-alliance -
Category
Data & Analytics
-
view
157 -
download
0
Transcript of FAIRness through a novel combination of Web technologies
RDA FAIR data managementNovember 14-15, 2016
FAIRness through a novel combination of Web technologies
Dr. Erik SchultesLCDS
RDA FAIR data managementNovember 14-15, 2016
Findable: F1. (meta)data are assigned a globally unique and persistent identifier;
F2. data are described with rich metadata;
F3. metadata clearly and explicitly include the identifier of the data it describes;
F4. (meta)data are registered or indexed in a searchable resource;
Accessible: A1. (meta)data are retrievable by their identifier using a standardized communications protocol;
A1.1 the protocol is open, free, and universally implementable;
A1.2. the protocol allows for an authentication and authorization procedure, where necessary;
A2. metadata are accessible, even when the data are no longer available;
Interoperable: I1. (meta)data use a formal, accessible, shared, and broadly applicable language for knowledge representation.
I2. (meta)data use vocabularies that follow FAIR principles;
I3. (meta)data include qualified references to other (meta)data;
Reusable: R1. meta(data) are richly described with a plurality of accurate and relevant attributes;
R1.1. (meta)data are released with a clear and accessible data usage license;
R1.2. (meta)data are associated with detailed provenance;
R1.3. (meta)data meet domain-relevant community standards;
What is FAIR ?
RDA FAIR data managementNovember 14-15, 2016
FAIR is not a standard FAIR is not equal to RDF FAIR is not for humans only FAIR is not equal to ‘Semantic Web’ FAIR is not equal to ‘Open’
What FAIR is not.
RDA FAIR data managementNovember 14-15, 2016
RDA FAIR data managementNovember 14-15, 2016
RDA FAIR data managementNovember 14-15, 2016
Data Owners
Data Consumers
3rd Party Application & Services
Data Owners
Data Consumers
3rd Party Application & Services
Interoperable Data
Layer
FAIR Data Resourcesdatasets
ontologiescontrolled vocabularies
taxonomies…
FAIR Data applicationsFAIR Data Point
FAIRifierData FAIRport
FAIR Data search engine…
FAIR Data ProtocolFAIR Profiles
FAIR accessorAPI spec
PIDsLDP…
Any task:email, www, phoneSMTP, HTTP, RTP
TCP, UDP
Any medium:
Internet Protocol (IP)
ethernet, PPPCMSA, async, sonetcopper, glass, radio
FAIR Data inspired by Internet
“Hourglass Architecture”
FAIR Data Resourcesdatasets
ontologiescontrolled vocabularies
taxonomies…
FAIR Data applicationsFAIR Data Point
FAIRifierData FAIRport
FAIR Data search engine…
FAIR Data ProtocolFAIR Profiles
FAIR accessorAPI spec
PIDsLDP…
Any application: make data actionable
Any data: large volumes
heterogeneouscomplex
FAIR Principlesuses existing technology& standards
FAIR Data inspired by Internet
FAIR Data Resourcesdatasets
ontologiescontrolled vocabularies
taxonomies…
FAIR Data applicationsFAIR Data Point
FAIRifierData FAIRport
FAIR Data search engine…
FAIR Data ProtocolFAIR Profiles
FAIR accessorAPI spec
PIDsLDP…
FAIR Data inspired by Internet
FAIR Data Resourcesdatasets
ontologiescontrolled vocabularies
taxonomies…
FAIR Data applicationsFAIR Data Point
FAIRifierData FAIRport
FAIR Data search engine…
FAIR Data ProtocolFAIR Profiles
FAIR accessorAPI spec
PIDsLDP…
• Easy part: combines existing methods & technology
• Hard Part: ontology engineering & data modeling
• Uptake: primarily social challenge (top down / bottom up)
• Internet of Data
• Open Science
RDA FAIR data managementNovember 14-15, 2016
FAIR data point specificationRelease Beta 1.0 https://docs.google.com/document/d/1WZE9oTUn_aPSRZhOur1GjWZ5vYxLsKJQqzmpWMxNpcs/edit
metadata-controller http://dev-vm.fair-dtls.surf-hosted.nl:8082/fdp/swagger-ui.html
FAIR data point API
FAIR Data Point
@prefix dcat: <http://www.w3.org/ns/dcat#> . @prefix dct: <http://purl.org/dc/terms/> . @prefix lang: <http://id.loc.gov/vocabulary/iso639-1/> . @prefix fdpo: <http://www.dtls.nl/ontologies/fdpDummy/> . @prefix ldp: <http://www.w3.org/ns/ldp#> . @prefix xsd: <http://www.w3.org/2001/XMLSchema#> . @prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> . @prefix fdp: <http://localhost/fdp/> .
<> dct:title "RD connect FAIR data point(beta)" ; dct:language lang:en; ldp:contains fdp:textmining ; dct:identifier "rdc-fdp" ; rdfs:label "RD connect FAIR data point(beta)" ; dct:description "This FDP provides metadata on textmining data sets." ; dct:title "DTL FAIR data point(beta)"; dct:license <http://rdflicense.appspot.com/rdflicense/cc-by-nc-nd3.0>; dct:hasVersion "0.1"; dct:publisher <http://orcid.org/0000-0002-1215-167X>; fdpo:contact <http://orcid.org/0000-0002-1215-167X>; fdpo:APIVersion "0.1 Beta" .
RDA FAIR data managementNovember 14-15, 2016
FAIR Data PointCatalog 1
API
DATASET 1
DIST 1
Catalog 2
DATASET 2 DATASET 3
DIST 2 DIST 3 DIST 4 DIST 5
RDA FAIR data managementNovember 14-15, 2016
FDPtitle language identifier label description license version publisher contant API version
Cataloglabel title identifier language version
Datasettitle label identifier language version description keywords landingpage publisher theme creator
Distributiontitle label identifier version license access url mediatype
FAIR Data Point Metadata
RDA FAIR data managementNovember 14-15, 2016
RDA FAIR data managementNovember 14-15, 2016
inhibitors p65
RDA FAIR data managementNovember 14-15, 2016
FAIR Data Query Siri?
Yes, master!
Please find me all known low molecular weight inhibitors of the Human p65 Protein. Please separate the list based on those that were found in curated databases, and those that were found in self-deposited data archives. Also, keep track of the license and citation information for each one. If you find data that is relevant, but not public, please provide me with the contact information for the person I need to request the data from.
Mark D. Wilkinson CBGP-UPM/INIA, Madrid
RDA FAIR data managementNovember 14-15, 2016
FAIRfor
data
RDA FAIR data managementNovember 14-15, 2016
PRIMED
FAIR
for alg
orithms
for data
RDA FAIR data managementNovember 14-15, 2016
FAIR Data Training
Track 1: Awareness building - Problems & Responsibilities - What is data stewardship ? - What is FAIR ?
Track 2: Skill building - BYOD for data - FAIR Hackathons for applications - Data stewardship planing hackathons
http://www.dtls.nl/fair-data/fair-data-training/
3
PRESENTERS
https://www.youtube.com/watch?v=sSQPY5Mc5Rs
RDA FAIR data managementNovember 14-15, 2016
The NAR online Molecular Biology Database Collection has been updated with the addition of 88 new resources and removal of 23 obsolete websites, which brought the current listing to 1685 databases.
BYOD
RDA FAIR data managementNovember 14-15, 2016
Five FAIR Use Cases
Andrew Stubbs
David van Enckevort
Jildau Bouwman
Arie Baak
born FAIR
https://www.youtube.com/watch?v=hioPJzTsdtg
FAIR Hackathon
becoming FAIR
not yet FAIR
Derk Arts
FAIR
ness
RDA FAIR data managementNovember 14-15, 2016
Bedankt
RDA FAIR data managementNovember 14-15, 2016
1. FAIR Principles address barriers to data reuse.
2. FAIR Principles stand on the shoulders of giants. FAIR technology is largely combinations of existing technology.
3. FAIR Enough! There are easy ways to make any dataset ‘more FAIR’.
4. In FAIR, no one is a follower, everyone is a collaborator.
RDA FAIR data managementNovember 14-15, 2016
RDA FAIR data managementNovember 14-15, 2016
RDA FAIR data managementNovember 14-15, 2016
RDA FAIR data managementNovember 14-15, 2016
https://vimeo.com/138977162 http://www.dtls.nl/events/personal-health-train-workshop/
Personal Health Train
RDA FAIR data managementNovember 14-15, 2016
kinds of data- files (excel)- databases- document base (database of files)- repositories- streaming data