Experience and lessons of the Rice
information Portal –The SSD
knowledge bank, bringing rice
information globally
Piedad F...
Why is data of importance to food security
strategies?
• Data is needed to inform, monitor and
advocate for any food secur...
– Lack of data sharing and availability- data
collected are used and kept only by the researcher
concerned and not made av...
Status of the rice databases prior to the
development of the SSD knowledge bank
• The HH survey datasets are all
over the ...
SSD Knowledge Bank
A comprehensive digital database
• It is an integrated data center for the socio-
economic data on rice...
Components
1. Household
survey
database
2. World rice
statistics
3. GIS data
Household Survey Database
•a rich collection of actual farm
level data on rice productivity,
input use, income & demograph...
Where are the household survey
datasets?
Develop a centralized household survey database to serve as an authorized single
...
• Data warehouse that will compile/link together the
different and often disparate survey data sets of
the division
• Redu...
Standard template = microsoft
excel worksheets develop to
ensure that all datasets are
normalized accordingly
 household information
 land profile/use
 inputs and output of rice production
 household assets
 sources household i...
Landing Page
Search By Project
Data of Selected Project
Search By Country
Data of Selected Country
http://ricestat.irri.org:8080/households
Browse By Table
http://ricestat.irri.org:8080/households
World Rice Statistics
•National level:
– Supply and demand variables such as rice area, production, yield,
imports, exports, consumption, world ...
http://ricestat.irri.org:8080/
GIS Database
What is it?
Collection of
– Spatial data (GIS-ready information)
– Tabular data (informations that can be ass...
GIS Database
Spatial and tabular data
– Grouped according to themes and/scale
Global
Regional
National
Rice monitoring and forecasting system
• GIS & remote sensing model are being used
to map rice areas
• The mapping compone...
cyan late Dec to early Jan
blue mid-Jan
red & green still under land
preparation in mid-Jan
Regular observations throughou...
Current status
• Rice areas in some Philippine provinces
mapped
• Rice areas in Bangladesh mapped
• Historical yield time ...
Thank you
Experience and lessons of the Rice Information Portal in Asia – bringing information to farmers and influencing policies
Experience and lessons of the Rice Information Portal in Asia – bringing information to farmers and influencing policies
Experience and lessons of the Rice Information Portal in Asia – bringing information to farmers and influencing policies
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Experience and lessons of the Rice Information Portal in Asia – bringing information to farmers and influencing policies

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“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.

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Experience and lessons of the Rice Information Portal in Asia – bringing information to farmers and influencing policies

  1. 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. 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. 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. 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. 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. 6. Components 1. Household survey database 2. World rice statistics 3. GIS data
  7. 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. 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. 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. 10. Standard template = microsoft excel worksheets develop to ensure that all datasets are normalized accordingly
  11. 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. 12. Landing Page
  13. 13. Search By Project
  14. 14. Data of Selected Project
  15. 15. Search By Country
  16. 16. Data of Selected Country http://ricestat.irri.org:8080/households
  17. 17. Browse By Table http://ricestat.irri.org:8080/households
  18. 18. World Rice Statistics
  19. 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. 20. http://ricestat.irri.org:8080/
  21. 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. 22. GIS Database Spatial and tabular data – Grouped according to themes and/scale Global Regional National
  23. 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. 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. 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. 26. Thank you

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