The presentation was held on February 15, 2023 as a webinar as part of Love Data Week 2023. Some Swiss higher education institutions have joined forces to offer a diverse programme of events for researchers and other interested parties. This programme was jointly advertised and can be viewed on the following website: https://www.zhbluzern.ch/love-data-week This is the slide deck of the rendez-vous de l'information scientifique organised by the University of Geneva Library and devoted to FAIR principles. The FAIR Principles are good practices for the optimal dissemination of research data, ensuring its visibility, discoverability and reusability. More and more funders and institutions expect researchers to follow these principles when diss...
There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A dive...
This presentation explains the different aspects of FAIR data, data stewardship (DS) and research da...
This presentation explains the different aspects of FAIR data, data stewardship (DS) and research da...
This is the slide deck of the rendez-vous de l'information scientifique organised by the University ...
The presentation was held on February 15, 2023 as a webinar as part of Love Data Week 2023. Some Swi...
Managing research data effectively and efficiently is crucial for the success of any research projec...
Findable, accessible, interoperable and reusable (FAIR) data are an increasingly important aspect of...
The huge amount of generated research data has urged the scientific community to consider developing...
In this review, we discuss FAIR Data, why it exists, and who it applies to. We further review the pr...
In recent years, the so-called FAIR principles have become the gold standard for research data and a...
** PRE-PRINT and NOT PEER-REVIEWED** This practice paper describes an ongoing research project to ...
In today’s data-intensive world, there is an increased discussion about the importance of processing...
Context: This talk was held on June 28th 2023 online as part of the Research Data Series of the Leib...
Born out of a 2014 workshop in The Netherlands, the Data FAIRport initiative was formed to set up ‘G...
There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A dive...
There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A dive...
This presentation explains the different aspects of FAIR data, data stewardship (DS) and research da...
This presentation explains the different aspects of FAIR data, data stewardship (DS) and research da...
This is the slide deck of the rendez-vous de l'information scientifique organised by the University ...
The presentation was held on February 15, 2023 as a webinar as part of Love Data Week 2023. Some Swi...
Managing research data effectively and efficiently is crucial for the success of any research projec...
Findable, accessible, interoperable and reusable (FAIR) data are an increasingly important aspect of...
The huge amount of generated research data has urged the scientific community to consider developing...
In this review, we discuss FAIR Data, why it exists, and who it applies to. We further review the pr...
In recent years, the so-called FAIR principles have become the gold standard for research data and a...
** PRE-PRINT and NOT PEER-REVIEWED** This practice paper describes an ongoing research project to ...
In today’s data-intensive world, there is an increased discussion about the importance of processing...
Context: This talk was held on June 28th 2023 online as part of the Research Data Series of the Leib...
Born out of a 2014 workshop in The Netherlands, the Data FAIRport initiative was formed to set up ‘G...
There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A dive...
There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A dive...
This presentation explains the different aspects of FAIR data, data stewardship (DS) and research da...
This presentation explains the different aspects of FAIR data, data stewardship (DS) and research da...