“Experience and lessons of the Rice Information Portal in Asia – bringing information to farmers and influencing policies”, presented by Piedad Moya, IRRI at the ReSAKSS-Asia Conference, Nov 14-16, 2011, in Kathmandu, Nepal.

1. Experience and lessons of the Rice
information Portal –The SSD
knowledge bank, bringing rice
information globally
Piedad F. Moya
Social Science Division, IRRI
IFPRI-NEPAL International Workshop on Knowledge, tools and Lessons for
Informing the Design and Implementation of Food Security Strategies in
Asia Nov.14-16. 2011, Hyatt Regency Hotel, Kathmandu, Nepal

2. Why is data of importance to food security
strategies?
• Data is needed to inform, monitor and
advocate for any food security strategies
– To assist in identifying priorities
– To assist in target setting
– To guide policy making process
– To monitor progress and other changes
– To assess effectiveness of intervention

3. – Lack of data sharing and availability- data
collected are used and kept only by the researcher
concerned and not made available to other interested
user
– Duplication of data existed- since the
existence of collected data are not known or available to
others, collection of similar data have been repeated.
These resulted to waste of time and resources.

4. Status of the rice databases prior to the
development of the SSD knowledge bank
• The HH survey datasets are all
over the division, kept by each
of the researcher who collected,
processed and analyzed the
data
• The secondary rice statistics are
compiled and published in a
book form and updated only
every after few years
• These data sets are not easily
accessible and very few people
are even aware of its existence.

5. SSD Knowledge Bank
A comprehensive digital database
• It is an integrated data center for the socio-
economic data on rice production system at
the farm level, rice demand, supply and
related data on the national, and regional
level
• It is composed of primary and secondary
data collected through the research projects
and activities of SSD
• It is organized and accessible in a user
friendly fashion

6. Components
1. Household
survey
database
2. World rice
statistics
3. GIS data

7. Household Survey Database
•a rich collection of actual farm
level data on rice productivity,
input use, income & demographics
•from different countries in Asia.
Collected through;
–personal farmer interviews,
–farm record keeping, and
–periodic monitoring

8. Where are the household survey
datasets?
Develop a centralized household survey database to serve as an authorized single
source of all HHS data sets collected by SSD

9. • Data warehouse that will compile/link together the
different and often disparate survey data sets of
the division
• Reduce duplication of research efforts
• Effective tool for research and strategic planning
• Enable IRRI staff and outside users to view and
download the data pertaining to a research
project/activity done by SSD and its Collaborators
Significance of FHS database

10. Standard template = microsoft
excel worksheets develop to
ensure that all datasets are
normalized accordingly

11.  household information
 land profile/use
 inputs and output of rice production
 household assets
 sources household income
 sources and utilization of credit
Components of the standard
template?

13. Landing Page

14. Search By Project

15. Data of Selected Project

16. Search By Country

17. Data of Selected Country
http://ricestat.irri.org:8080/households

18. Browse By Table
http://ricestat.irri.org:8080/households

19. World Rice Statistics

20. •National level:
– Supply and demand variables such as rice area, production, yield,
imports, exports, consumption, world and domestic rice prices, land
use, population and labor force, and some macroeconomic variables
such as GNI, GDP
•Sub-national level (e.g. province, state, district):
– rice area, production, and yield overtime for major rice producing
countries of the world.
The data are continuously compiled from
international sources such as FAO and
USDA, and country sources such as
agricultural and statistical yearbooks, and
secondary data provided by our NARES
partners, contact persons, online sources
Content

23. http://ricestat.irri.org:8080/

24. GIS Database
What is it?
Collection of
– Spatial data (GIS-ready information)
– Tabular data (informations that can be associated with
spatial data)
– Cartographic images (maps and images that can be
used for reports, posters, and presentations)

25. GIS Database
Spatial and tabular data
– Grouped according to themes and/scale
Global
Regional
National

26. Rice monitoring and forecasting system
• GIS & remote sensing model are being used
to map rice areas
• The mapping component provides
– Rice area estimates
– Planting dates
– Damage estimates -drought or flood
– Crop growth status

27. cyan late Dec to early Jan
blue mid-Jan
red & green still under land
preparation in mid-Jan
Regular observations throughout the season show how
much planting dates can vary over small distances
Color shows crop establishment
The mapping component provides
•rice area estimates
•planting dates
•damage estimates (drought/flood)
•crop growth status

28. Current status
• Rice areas in some Philippine provinces
mapped
• Rice areas in Bangladesh mapped
• Historical yield time series data is in place
• Soil and management data are being
collected
• Daily weather database for Asia is in
development

29. Thank you