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Because of this and the ever-increasing amount of data access requests currently filed around the world, three groups have decided to develop data sharing principles specific to the context of collaborative international genomics research.
The policy update coincided with WTSI quinquennial strategic review and this allowed the scientific programs to develop data sharing plans (requested as part of the review process) that were consistent with the policy.
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My work directing and developing data sharing frameworks such as vtm.berkeley.edu, Cal-Adapt.org, LandCarbon.org, and the Berkeley EcoInformatics Engine (HOLOS) are fundamental to this effort.
Challenges of developing data sharing governance Data sharing is often required as a condition of funding but funders have not prescribed how this should be done.
Funding organizations such as the British Wellcome Trust therefore have developed data sharing policies and request commitment to data management and sharing in grant applications.
This Indiana Health Information Exchange has developed data sharing agreements between all participating providers within the contexts of federal laws (i.e., HIPAA and FERPA, described below) to produce a system of "federated data vaults" that are housed at the Regenstrief Institute [ 45, 46].
Additionally, collaborations with state and regional registries supported by federal agencies to begin to develop data-sharing policies and procedures to populate hospital registries with vital status follow-up data from administrative sources, as well as linkage between patient identifiers and the NDI to ascertain vital status and causes of death, will be explored.
The potential to use information technologies to track the use of data and ensure compliance with data sharing requirements still needs to be explored to develop global data sharing.
Those seeking to develop large-scale data sharing federations should not try to develop their own method ad hoc, but rely on established and mature IT and risk assessment literature and practices such as the CobiT 4.0 framework [ 34].
Today, a typical consortium project in genomic sciences must develop solutions for data sharing that span intra-consortium, inter-consortium and sharing with scientific community at large.
" After the draft statement was issued, research societies requested NIH to develop techniques for data sharing that protect confidential information (i.e., identified patient records or intellectual property) [ 9].
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