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Table A1.5: FAO Composite Indicators of the Agricultural Data Quality Framework
Capacity Indicator I
(Prerequisites:
institutional
infrastructure)
Capacity
Indicator II
(Input: resources)
Capacity Indicator III
(Throughput:
methods and
practices)
Capacity Indicator IV
(Output: availability of
statistical information)
 Legal framework
 Coordination in
statistical system
 Strategic vision
and planning
 Integration of
agriculture in the
national
statistical system
 Relevance (user
/interface)
 Financial
 Human
resources
 Statistical software
capability
 Data capture
technology
 IT infrastructure
 International
classifications
 General statistical
activities
 Agricultural
market and price
information
 Agricultural
surveys
 Analysis and use of
data
 Core data
availability
 Timeliness
 Quality, reliability
and consistency of
data
 Data accessibility
 Quality
consciousness
Source: FAO, 2012.
Table A1.6: Proposed Dimensions of the Agricultural Data Quality Framework (ADQAF)
1. Prerequisites of Quality The essentials to be in place before quality are
implemented
2. Relevance and Completeness
The data that is provided should be relevant to the
country, collected following the statistical
standards, with complete information (metadata)
3. Methodological Soundness
4. Accuracy, Reliability and Clarity Source data and statistical techniques are sound
and statistical outputs sufficiently portray reality
and are clear to understand
5. Serviceability and Coherence Statistics, with adequate periodicity and
timeliness, are consistent and follow a predictable
revisions policy.
6. Comparability and Subjective Statistics provided should be biased towards the
agricultural cause and comparable across
countries and institutions
7. Accessibility Data and metadata are easily available
Source: Ouma and Mayinza, 2010.