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R4V - Coggle Diagram
R4V
improvement suggestions
improvements in AI
improvements of/with other software
process improvements
standard improvements
improvements of norms
trainning improvements
infrastructure improvements
improvements in communication
improvements in field practice
improvements in data use
data life cycle
collect
analysis
correction
aggregation
sharing
visualization
(re) use
managing
limitations
spreadsheets limitations
limitations of other software
limitations of field practice
limitations in processes
personnel limitations
training limitations
third parties limitations
structural limitations
technological justice
visibility of work
visibility of the people involved
knowledge and technology transfer
technology transfer
technological dependence
oppression via technology
inequality of conditions
data quality
processes
rules
problems
challenges
reasons for problems
consequences
organizational issues
work load
process standards
work processes
organizational culture
demand
fund-raising
power relations
impacts on resources
partnership failure
neglect minorities \ Risk Groups
game leveling \ equal opportunities
south-north global
political issues
human issues
autonomy
professional appreciation
job opportunities
motivation for work
affective issues
importance of humanitarian work
data attributes
value
privacy
safety
purpose
correctness
data uses
consequences
return \ feedback
visibility
needs
responsible for the data
needs
difficulties
skills
motivation
AI uses
difficulties in using AI
AI limitations
AI impacts
indicators
data loss
lack of collection
loss for technical reasons
loss in aggregation
cultural issues
cooperation culture
values
informalities
uses of other software
need for other software
limitations in the use of other software
training
need for training
training limitations
Brazilian context