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Well-established data access arrangements and data access committees (DACs)—responsible for reviewing and managing requests for access to genomic databases are therefore central for implementing the policies and principles of data sharing.
The principles of data sharing have been widely accepted and endorsed by the research community, but the way that they have been implemented over the past few years has been subject to change.
This may require the cooperation and knowledge transfer between genetic scientists across Asia, to share experiences and leadership in research ethics, data analyses and the principles of data sharing and ownership in order to develop a genomics research network in Asia.
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Although we are not attempting to prioritize or in any way create a hierarchy among various principles in the field of data sharing, they all derive from a shared belief in maximizing both scientific quality (Box 1, point 1) and public benefit through rapid release and public accessibility to data (Box 1, point 2) [ 14].
Most importantly, ongoing communication with the public on the 'reality' of data sharing principles and procedures is essential.
For the value of data sharing to be realised, support in principle needs to translate to actions, on the part of both potential data sharers and funders.
Cases of data sharing without conflict or irresolvable disputes had more principles in common with a successfully managed natural resource commons than did those characterized by conflict.
Genomics has been a leader in the sharing of data, because funders and researchers have endorsed the principle of open access and put considerable resources and expertise into the development of data sharing governance systems.
However, it is still unknown how the process of data sharing can become routine, how to define responsible data sharing, which principles to establish, and how to set policies across different countries where interpretations of clinical and information governance may vary and where attitudes towards reuse of routinely collected clinical data may differ.
Clearly consumers are warming to the idea of data sharing.
There are many models of data sharing.
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