BYODs & FAIR Data Stewardship Luiz Olavo Bonino luiz.bonino@dtls.nl www.elixir-europe.org
Summary FAIR Data stewardship Approach in NL BYOD FAIR Data tooling ecosystem Way of working
(FAIR) Data Stewardship
Data Stewardship Combination of all expertise to treat data well in a project: Experimental 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 Stewardship Combination of all expertise to treat data well in a project: Experimental 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.
Data Stewardship
Data Stewardship Process View
Data Stewardship Sustainability View
FAIR Data
Produces Consumes
stewardship privacy? sustainability security Produces Consumes license access storage maintenance
RDF MIAPE DBMS Excel MIRIAM Semantics Produces Consumes API SQL SPARQL Metadata DICOM
access find format Produces Consumes license integrate query
FAIR Data The FAIR Data Initiative aims at supporting existing communities in their attempts to enable valuable scientific data and knowledge to be published and utilized in a FAIR manner. Findable - (meta)data is uniquely and persistently identifiable. Should have basic machine readable descriptive metadata. Accessible - identifiers should provide a mechanism for (meta) data access, including authentication, access protocol, license, etc. Interoperable - (meta)data should be 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.
How FAIR Data is being realized in the Netherlands?
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
Sharing Data I would like to exploit common genotypephenotype relations between Alzheimer s Disease and Huntington s Disease I need to combine AD and HD data I can help with that! Source: Marcos Roos
Sharing Data??? Here s my data, have fun! Here s my data, have fun! Source: Marcos Roos
Sharing Linkable Data 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! Source: Marcos Roos
BYOD Ontology Non-FAIR Dataset FAIR datasets Metadata FAIR Data Transformation FAIR datasets Non-FAIR Dataset Ontology
Analysis transformation Analysis transformation FAIR transformation FAIR transformation
FAIR Data Application Ecosystem (NL Approach)
FAIR Data Resource FAIR Data Resource FAIR transformation
BYOD
FAIRifier
FAIR Data Model Registry
FAIRifier and FAIR Data Model Registry Data Owner Non-FAIR Dataset submit FAIRifier search reference data model return reference FAIR Profile FAIR Data Model Registry output FAIR Data Resource F I A R Metadata License FAIR Format
FAIR Data Point
DataFAIRport A data interoperability platform. Provides a search mechanism for finding FAIR Data. Supports publication of and access to FAIR data. Fosters an ecosystem of application and services. Federated architecture: different FAIRports (and other FAIR Data systems) are interconnectable. Supports citation of datasets and data items. Provides metrics for data usage and citation.
F A R I
Work organisation (NL Approach)
Local DTLs / projects projects FAIR Data IG (P.I.s with data) DTL National FAIR data engineering team Data Core Team Elixir FAIR Technical Translation Team FAIR Data E.T. FAIR Data E.T. FAIR Data E.T. Core FAIR Technology FAIR Data E.T. FAIR Data E.T. engineers in the FAIR Data virtual team FAIR Data Executive Team FAIR Data E.T. RD Connectt
THANK YOU! luiz.bonino@dtls.nl www.dtls.nl @DTL_nl /company/dutch-techcentrefor-life-sciences