By Brenda Zulu
Data generation is part of various data collection, gathering, compilation and this maybe a source of confusion between a staticians and Monitoring and Evaluation.
Christophe Duhamel, FAO- Global Strategy said data collection was the collection of data from census, sample surveys or routine data systems in statistical work.
"What ever the work carried out carried out for gathering, compiling data and building indicators, quality results highly depending from available quality of statistical data," Duhamel.
He observed that while agriculture was targeted for large scale investments, little has been done to ensure that accurate agricultural statistics in Africa are produced to monitor agricultural development.
He explained the result in general was neglected over the last 25 years as serious weakness persists in the measurement of agricultural outcomes and the understanding of the factors hampering agricultural growth among smallholders.
However, Duhamel sees a window of opportunity with global initiatives.
He said CAADP was challenging in that the Malabo commitment were highly demanding from a statistical point of view.
Duhamel gave examples of statistics needed in phrases like double productivity, reduce post harvest loses by half, 30 percent of farm pastoral households resilient to shock.
Impact on the Organisations of agricultural statistical system which are facing resource constraints, erratic support and still lacking ownership.
Duhamel observed that there was data limitation which made it difficult to conduct reliable gender sensitive analysis of the contribution of women in agriculture. He gave an example of how there was scare evidence on women's labour and control over productive inputs.
He explained that Global Strategy under FAO was preparing guidelines to help countries to collect better sex disaggregated data.
Global Strategy was also going to improve agricultural and rural statistics and its aim is to strengthen statistical capacities of developing countries by developing cost effective methods and elaborate strategic planning.
Duhamel proposed key initiatives that a country could potentially implement in the next two years as reviewing the existing statistical development in the NAIFPS. He also proposed that CAADPP national teams are represented in national statistical governance mechanisms and that a dialogue is engaged between statisticians and policy makers.
Another proposal was to ensure that strategic plans for agricultural and rural statistics (SPARS) and NAIFPS are built in synergy at national level.
Ishmael Sunga Chief Executive Officer at the Southern African Confederation of Agricultural Unions ( SACAU) said there was a lot of fabrication and that access to quality data was very difficult.
Sunga observed that lack of data makes investment very difficult for private sector, agriculturists and policy makers.
He observed that there could be creative ways of harnessing the data using Information Communication Technologies (ICTs).
Winston Makabanyane Director Africa Relations department of Agriculture Forestry and Fisheries in South Africa said there is a need for a standard type of the Joint Sector Review (JSR).
He noted that the data and information and record are poor or not collected.
Dr Godfrey Bahiigwa from IFPRI/ReSAKSS said mutual accountability has always been part of the CAADP principles and the Malabo commitments number VII.
Dr Bahiigwa explained that mutual accountability was the process by which two or more parties hold one another accountable for the commitments they have voluntary made.
He said the Joint Sector Review a was also one way of operationalising the mutual accountability framework at region and country level.
Principles include regional or national ownership that produce results, based on evidence gender concerns addressed in the review
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