Topic Brief: The main principles of FAIR data (findable, accessible, interoperable and reusable) have received wide acceptance in scientific ... Presenters: Marco Roos and Núria Queralt-Rosinach, Biosemantics, Leiden University Medical Center, The Netherlands In this ...

Fairification Of Services Two Examples - Main Overview

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The main principles of FAIR data (findable, accessible, interoperable and reusable) have received wide acceptance in scientific ... Presenters: Marco Roos and Núria Queralt-Rosinach, Biosemantics, Leiden University Medical Center, The Netherlands In this ... Watch Katrin Crameri, Director of the SPHN Data Coordination Center's Keynote presentation at the SWAT4HCLS conference in ...

Topic Background

The training explores the best practices in making terminologies Findable, Accessible, Interoperable, and Reusable (FAIR). The webinar is offered by FAIRsFAIR Work Package FAIR Practices: Semantics, Interoperability, and Katarzyna Kamieniecka, Krzysztof Poterlowicz, FAIR in a nutshell (Galaxy Training Materials).

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  • The main principles of FAIR data (findable, accessible, interoperable and reusable) have received wide acceptance in scientific ...
  • Presenters: Marco Roos and Núria Queralt-Rosinach, Biosemantics, Leiden University Medical Center, The Netherlands In this ...
  • Watch Katrin Crameri, Director of the SPHN Data Coordination Center's Keynote presentation at the SWAT4HCLS conference in ...
  • The training explores the best practices in making terminologies Findable, Accessible, Interoperable, and Reusable (FAIR).
  • The webinar is offered by FAIRsFAIR Work Package FAIR Practices: Semantics, Interoperability, and

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Supporting Images

FAIRification of services – Two examples
FAIRification of Data and Services
How to manage your data to make them Open and FAIR
FAIRification of Terminologies
SWAT4HCLS 2023 keynote; FAIRification of health data
RDMbites | What is FAIRplus and the FAIRification framework
Persistence and interoperability in FAIR research data management   FAIRsFAIR webinar
FAIRification: Commitment, Implementation, Empowerment
FAIRification webinar, FAIR step 2, part 1
5th #ENDORSE webinar with Dr Martin Romacker on data #FAIRification at scale
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FAIRification of services – Two examples

FAIRification of services – Two examples

The webinar is offered by FAIRsFAIR Work Package FAIR Practices: Semantics, Interoperability, and

FAIRification of Data and Services

FAIRification of Data and Services

Read more details and related context about FAIRification of Data and Services.

How to manage your data to make them Open and FAIR

How to manage your data to make them Open and FAIR

Joint OpenAIRE and EOSC-hub webinar delivered by Marjan Grootveld and Ellen Leenarts (DANS). Slides are available here: ...

FAIRification of Terminologies

FAIRification of Terminologies

The training explores the best practices in making terminologies Findable, Accessible, Interoperable, and Reusable (FAIR).

SWAT4HCLS 2023 keynote; FAIRification of health data

SWAT4HCLS 2023 keynote; FAIRification of health data

Watch Katrin Crameri, Director of the SPHN Data Coordination Center's Keynote presentation at the SWAT4HCLS conference in ...

RDMbites | What is FAIRplus and the FAIRification framework

RDMbites | What is FAIRplus and the FAIRification framework

Relevant links: 1. Katarzyna Kamieniecka, Krzysztof Poterlowicz, FAIR in a nutshell (Galaxy Training Materials).

Persistence and interoperability in FAIR research data management   FAIRsFAIR webinar

Persistence and interoperability in FAIR research data management FAIRsFAIR webinar

The main principles of FAIR data (findable, accessible, interoperable and reusable) have received wide acceptance in scientific ...

FAIRification: Commitment, Implementation, Empowerment

FAIRification: Commitment, Implementation, Empowerment

Presenters: Marco Roos and Núria Queralt-Rosinach, Biosemantics, Leiden University Medical Center, The Netherlands In this ...

FAIRification webinar, FAIR step 2, part 1

FAIRification webinar, FAIR step 2, part 1

Read more details and related context about FAIRification webinar, FAIR step 2, part 1.

5th #ENDORSE webinar with Dr Martin Romacker on data #FAIRification at scale

5th #ENDORSE webinar with Dr Martin Romacker on data #FAIRification at scale

Watch Dr Martin Romacker explain how they have approached the data #