The number of available neuroscience resources (databases, tools, materials, and networks) available via the Web continues to expand, particularly in light of newly implemented data sharing policies required by funding agencies and journals.
This move can be seen in the implementation of platforms where dynamic consent is used to solve the traditional problem of consent (Kaye et al. 2011), as well as in cases where patient organisations take the lead in implementing data sharing initiatives, such as PEER (Novas 2007).
Biotechnology and Biological Sciences Research Council [ 6], the Wellcome Trust and the Sanger Institute have implemented data sharing policies.
For many researchers, the first step is examining the policies of similar projects or consulting with leaders in the field who have designed or implemented data sharing systems [ 28].
Although funders consider that data sharing increases the benefits that have been made to the public in research [ 39] and researchers can see the benefit of sharing some kinds of data [ 40], there are also disadvantages to implementing data sharing policies.
Many of these challenges are already being addressed through ELSI harmonization initiatives aiming to implement data sharing codes of conduct and policies [ 32] and are encouraged by empirical studies indicating that research participants generally support wide data sharing for research purposes given that privacy and confidentially concerns are appropriately handled and secured [ 33- 35].
One of the leading laboratories in this project was the Wellcome Trust Sanger Institute (WTSI), which, with the support of the Wellcome Trust, continues to advocate strongly for data sharing and implements data-sharing policies for most of its sequencing projects [ 1].
The findings identified five shared visualisation strategies that represent the ways implemented to process data sharing and knowledge to arrive at the desired level of understanding.
The cost of implementing a standards-supported data sharing vision is as large as the number of stakeholders who must operate synchronously.
Other large firms are now following its lead, offering consumers user-friendly choices about data sharing and implementing creative "pseudonymization" policies to mask identities from their corresponding information.
According to this case, various steps can be taken to promote good cybersecurity planning, including adequate training with evidence of having completed the training, designing comprehensive accountability frameworks, monitoring of third-party compliance, formalizing data sharing agreements, and implementing accessible and express consent models for the transfer of data.
