Data are considered to be “open” if anyone can freely access, use, re-use and redistribute them, for any purpose, without restrictions.
ASIA – Russia: Moscow Open Data
ASIA – Russia: Moscow University – Geology Department
ASIA – Russia: Russian Federal Service For Hydrometeorology And Environmental Monitoring
ASIA – Russia: State Committee On Statistics (goskomstat)
Send us resources usefull for fact checking, such as good practices, open book, open journal, open data portal and other tools
The key features of openness are:
Availability and access: the data must be available as a whole and at no more than a reasonable reproduction cost, preferably by downloading over the internet. The data must also be available in a convenient and modifiable form.
Reuse and redistribution: the data must be provided under terms that permit reuse and redistribution including the intermixing with other datasets. The data must be machine-readable.
Universal participation: everyone must be able to use, reuse and redistribute — there should be no discrimination against fields of endeavour or against persons or groups. For example, ‘non-commercial’ restrictions that would prevent ‘commercial’ use, or restrictions of use for certain purposes (e.g. only in education), are not allowed.
Open Data initiatives, activities and portals: