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With it, data becomes accessible by its content and context instead of its name and location only.
When the data become accessible to others, it becomes clear that scientific authorship is provisional rather than authoritative.
Economic and long-term follow-up will be reported as data become accessible.
Pre-screening terminated when data became repetitive.
When making prototypes becomes accessible and fun then people can exercise a power to do innovation.
Further validation of these data will only be possible when primary and further secondary data sources become accessible in the course of the ongoing evaluation.
Privacy could still be an issue, however, as more user data becomes easily accessible.
As data becomes more accessible through open university repositories and other freely-available resources, the drivers for learning and communicating on a global level become more powerful.
The broad point here is that useful government data becomes more accessible to the mainstream web user.
The intrinsic hierarchical cluster structure of the data becomes visually accessible at once in the computed cluster tree.
It will be posted here when the data becomes available.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com