Add to ORKGGroth, Paul, Helena Cousijn, Tim Clark, et Carole Goble. « FAIR Data Reuse – the Path through Data Citation ». Data Intelligence, 1 novembre 2019, 78‑86. https://doi.org/10.1162/dint_a_00030. One of the key goals of the FAIR guiding principles is defined by its final principle – to optimize data sets for reuse by both humans and machines. To do so, data providers need to implement and support consistent machine readable metadata to describe their data sets. This can seem like a d..
The FAIR principles were published in 2016 in a Scientific Data article titled ‘FAIR Guiding Princip...
In this paper, we discuss FAIR Data, why it exists, and who it applies to. We further review the pri...
For open science to flourish, data and any related digital outputs should be discoverable and re-usa...
One of the key goals of the FAIR guiding principles is defined by its final principle – to optimize ...
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...
Science is an incremental process that produces and builds on more than journal articles¹. Code, dat...
There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A dive...
The figure supports teaching material designed to train trainers on research data management on the ...
There is a growing demand for quality criteria for research datasets. We will argue that the Data Se...
In this review, we discuss FAIR Data, why it exists, and who it applies to. We further review the pr...
Wouldn't it be nice to have your research data re-used e.g., by your future self? In this talk, I wi...
The figure supports teaching material designed to train trainers on research data management on the ...
There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A dive...
The last letter of the FAIR acronym stands for Reusability. Data and metadata should be made availab...
The FAIR principles were published in 2016 in a Scientific Data article titled ‘FAIR Guiding Princip...
In this paper, we discuss FAIR Data, why it exists, and who it applies to. We further review the pri...
For open science to flourish, data and any related digital outputs should be discoverable and re-usa...
One of the key goals of the FAIR guiding principles is defined by its final principle – to optimize ...
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...
Science is an incremental process that produces and builds on more than journal articles¹. Code, dat...
There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A dive...
The figure supports teaching material designed to train trainers on research data management on the ...
There is a growing demand for quality criteria for research datasets. We will argue that the Data Se...
In this review, we discuss FAIR Data, why it exists, and who it applies to. We further review the pr...
Wouldn't it be nice to have your research data re-used e.g., by your future self? In this talk, I wi...
The figure supports teaching material designed to train trainers on research data management on the ...
There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A dive...
The last letter of the FAIR acronym stands for Reusability. Data and metadata should be made availab...
The FAIR principles were published in 2016 in a Scientific Data article titled ‘FAIR Guiding Princip...
In this paper, we discuss FAIR Data, why it exists, and who it applies to. We further review the pri...
For open science to flourish, data and any related digital outputs should be discoverable and re-usa...