This lecture is a short overview of the FAIR principles and is part of a more extensive data management course package aimed at DMP writers and grant applicants. In this course, we will review all the FAIR Principles and how they are applied in real life. This way, you will know what to consider while writing a grant, filling out your data management plan, or researching. Learning outcomes: Understand the importance of a good data management Know what are the FAIR principles and what they mean Know how to implement FAIR principles throughout the research project Know where to get more information about the FAIR Principle
Introduction to FAIR principles and their application for PhD students. As the landscape of scientif...
This talk models the FAIR data principles into teaching scenarios as a contribution to data literacy...
This paper will examine how FAIR principles are integrated in a course for those involved in researc...
Three modules of the Open Science course for PhD students, University of Pisa, year 2022. Agenda o...
Managing research data effectively and efficiently is crucial for the success of any research projec...
Presentation about FAIR Data Management as part of the lecture 'Biomedical Data Management' at the U...
This presentation was the core for a session held on 30 July 2021 AEST in the FSCI2021 course T20: C...
In recent years, the so-called FAIR principles have become the gold standard for research data and a...
Presentation given as a webinar for the Nutrigenomics association. The FAIR principles are often se...
Context: This talk was held on June 28th 2023 online as part of the Research Data Series of the Leib...
Research projects are usually composed of three or more smaller but highly complex project units tha...
** PRE-PRINT and NOT PEER-REVIEWED** This practice paper describes an ongoing research project to ...
This is the slide deck of the rendez-vous de l'information scientifique organised by the University ...
The FAIR principles were mostly thought with data (i.e., data at datasets) in mind. However, they ar...
A poster at RDA VP16: The idea of FAIR in the context of scientific data management and stewardship...
Introduction to FAIR principles and their application for PhD students. As the landscape of scientif...
This talk models the FAIR data principles into teaching scenarios as a contribution to data literacy...
This paper will examine how FAIR principles are integrated in a course for those involved in researc...
Three modules of the Open Science course for PhD students, University of Pisa, year 2022. Agenda o...
Managing research data effectively and efficiently is crucial for the success of any research projec...
Presentation about FAIR Data Management as part of the lecture 'Biomedical Data Management' at the U...
This presentation was the core for a session held on 30 July 2021 AEST in the FSCI2021 course T20: C...
In recent years, the so-called FAIR principles have become the gold standard for research data and a...
Presentation given as a webinar for the Nutrigenomics association. The FAIR principles are often se...
Context: This talk was held on June 28th 2023 online as part of the Research Data Series of the Leib...
Research projects are usually composed of three or more smaller but highly complex project units tha...
** PRE-PRINT and NOT PEER-REVIEWED** This practice paper describes an ongoing research project to ...
This is the slide deck of the rendez-vous de l'information scientifique organised by the University ...
The FAIR principles were mostly thought with data (i.e., data at datasets) in mind. However, they ar...
A poster at RDA VP16: The idea of FAIR in the context of scientific data management and stewardship...
Introduction to FAIR principles and their application for PhD students. As the landscape of scientif...
This talk models the FAIR data principles into teaching scenarios as a contribution to data literacy...
This paper will examine how FAIR principles are integrated in a course for those involved in researc...