BYODs & FAIR Data Stewardship

Transcription

1 BYODs & FAIR Data Stewardship Luiz Olavo Bonino

2 Summary FAIR Data stewardship Approach in NL BYOD FAIR Data tooling ecosystem Way of working

3 (FAIR) Data Stewardship

4 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.

5 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.

6 Data Stewardship

7 Data Stewardship Process View

8 Data Stewardship Sustainability View

9 FAIR Data

10 Produces Consumes

11 stewardship privacy? sustainability security Produces Consumes license access storage maintenance

12 RDF MIAPE DBMS Excel MIRIAM Semantics Produces Consumes API SQL SPARQL Metadata DICOM

13 access find format Produces Consumes license integrate query

14 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.

15 How FAIR Data is being realized in the Netherlands?

16 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

17 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

18 Sharing Data??? Here s my data, have fun! Here s my data, have fun! Source: Marcos Roos

19 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

20 BYOD Ontology Non-FAIR Dataset FAIR datasets Metadata FAIR Data Transformation FAIR datasets Non-FAIR Dataset Ontology

21 Analysis transformation Analysis transformation FAIR transformation FAIR transformation

22 FAIR Data Application Ecosystem (NL Approach)

23 FAIR Data Resource FAIR Data Resource FAIR transformation

24 BYOD

25 FAIRifier

26 FAIR Data Model Registry

27 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

28 FAIR Data Point

29 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.

30 F A R I

31 Work organisation (NL Approach)

32 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

33 THANK YOU! /company/dutch-techcentrefor-life-sciences