The FAIR guiding principles for research data stewardship (findability, accessibility, interoperability, and reusability) look set to become a cornerstone of research in the life sciences. A critical appraisal of these principles in light of ongoing discussions and developments about data sharing is in order. The FAIR principles point the way forward for facilitating data sharing more systematically-provided that a number of ethical, methodological, and organisational challenges are addressed as well
Managing research data effectively and efficiently is crucial for the success of any research projec...
This is a review of book titled "Data Stewardship for Open Science: Implementing FAIR Principles", w...
In this workshop we focus on three aspects of FAIR data stewardship: Data sharing, publishing and ar...
The FAIR guiding principles for research data stewardship (findability, accessibility, interoperabil...
Item does not contain fulltextThe FAIR guiding principles for research data stewardship (findability...
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...
Data stewardship is an essential driver of research and clinical practice. Data collection, storage,...
There is a growing demand for quality criteria for research datasets. We will argue that the Data Se...
This is the slide deck of the rendez-vous de l'information scientifique organised by the University ...
For open science to flourish, data and any related digital outputs should be discoverable and re-usa...
The vision of implementing FAIR (findable, accessible, interoperable, and reusable) principles in he...
In this review, we discuss FAIR Data, why it exists, and who it applies to. We further review the pr...
There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A dive...
In recent years, there has been an increasing drive towards scientific data not only being utilized ...
Managing research data effectively and efficiently is crucial for the success of any research projec...
This is a review of book titled "Data Stewardship for Open Science: Implementing FAIR Principles", w...
In this workshop we focus on three aspects of FAIR data stewardship: Data sharing, publishing and ar...
The FAIR guiding principles for research data stewardship (findability, accessibility, interoperabil...
Item does not contain fulltextThe FAIR guiding principles for research data stewardship (findability...
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...
Data stewardship is an essential driver of research and clinical practice. Data collection, storage,...
There is a growing demand for quality criteria for research datasets. We will argue that the Data Se...
This is the slide deck of the rendez-vous de l'information scientifique organised by the University ...
For open science to flourish, data and any related digital outputs should be discoverable and re-usa...
The vision of implementing FAIR (findable, accessible, interoperable, and reusable) principles in he...
In this review, we discuss FAIR Data, why it exists, and who it applies to. We further review the pr...
There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A dive...
In recent years, there has been an increasing drive towards scientific data not only being utilized ...
Managing research data effectively and efficiently is crucial for the success of any research projec...
This is a review of book titled "Data Stewardship for Open Science: Implementing FAIR Principles", w...
In this workshop we focus on three aspects of FAIR data stewardship: Data sharing, publishing and ar...