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INTRODUCTION
most countries still do not conduct regular
household and farm surveys, do not meet the
minimum data requirements, lack sustainable
data systems, and have insufficient capacity to
analyse and use the data at their disposal (CFS
2019/46/7, 2019, p. 8).
Therefore,
while many may live in places where
data and information flow with unprecedented
mass
and speed, many countries still lack
sustainable data systems and related
capacities
.
Rather than recommending
from the onset additional investment in data
collection for food security and nutrition, we
first propose in-depth ways of thinking about
data collection and analysis tools
to ensure full
and proper use and re-use of existing data
.
The CFS presented
the following additional
rationale for this report:
Addressing the gap in quality data is also
essential to monitor progress and understand
where the world stands in achieving its shared
goals – the SDGs. Custodian UN specialized
agencies were identified for each SDG indicator
to ensure that robust, global statistics were
provided to measure progress in achieving
the 2030 Agenda. However, the success of the
SDGs rests largely upon strengthening data
collection and statistical capacity-development
at national level, including capacity building
that strengthens coordination among national
statistics offices (CFS 2019/46/7, 2019, p. 8).
As of this writing, there are still many countries
in the world where training is required so that
there are sufficient human resources to properly
interpret, process and digest new data in the
various forms in
which they are continuously
generated, stored and distributed. Of particular
concern is that
this is true also for the scientific
community
, where the more traditional research
tools are being challenged by emerging ones,
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which have not yet sufficiently permeated
academic curricula. This brings to the fore
the
need to invest in capacity development at all
levels, starting even in primary school and
continuing through
specialized training of
professionals working in public and private
institutions dealing with data
.
This report has been designed to respond to the
call of the CFS to Support the process of laying
the groundwork for informed decision making,
setting standards for improved data-driven
policies around food security and nutrition, and
strengthening effective monitoring, review and
follow-up to deliver SDG 2 (CFS 2019/46/7, 2019,
p. 8).
To
begin laying this groundwork, the report
was developed with an understanding that food
security and nutrition (FSN) policymaking at
global, national and local levels, involves the
use of data, either new or existing, to reach
effective, evidence-informed decisions, and
that this involves a distributed process, where
responsibilities are held
by different individuals
and institutions, at different levels.
The report is organized around six chapters:
Chapter 1
defines key concepts around the data
collection and analysis tools that are presented
throughout the report. It provides operational
definitions of
data
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