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