- 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? 12. Landing Page 13. Search By
Project 14. Data of Selected Project 15. Search By Country 16. Data
of Selected Country http://ricestat.irri.org:8080/households 17.
Browse By Table http://ricestat.irri.org:8080/households 18. World
Rice Statistics 19. 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 20.
http://ricestat.irri.org:8080/ 21. 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) 22. GIS Database Spatial and tabular
data Grouped according to themes and/scale Global Regional National
23. 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 24. 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
25. 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 26. Thank you