What data, from where?
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A presentation prepared by Ric Coe
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What data, from where?
- 1. What data, from where? Presented by Ric Coe (ICRAF/ILRI Research Methods Group, r.coe@cgiar.org) at the Workshop on Dealing with Drivers of Rapid Change in Africa: Integration of Lessons from Long-term Research on INRM, ILRI, Nairobi, June 12-13, 2008
- 4. National coverage, some international standardisation
- 5. Increasing international coverage and compliance
- 6. Initiatives to increase integration
- 7. Paris21
- 8. Marrakech Action Plan for Stats
- 9. Initiatives to increase availability of disaggregate data
- 10. International Household Survey Network
- 11. Much still of doubtful quality
- 12. IP culture at national finer scales still rewards data ownership not data supply
- 13. Coverage patchy
- 15. raw and processed layers
- 16. multiple scales
- 20. 90 data sets compiled
- 21. meta data available, searchable
- 22. Protocols
- 28. little standardisation in indicators and definitions
- 29. Often very small sample size with poorly defined sampling frame
- 31. between short term funded projects and their host organisations
- 32. Note OECD standards for public availability of data from public funded research
- 33. Few incentives for ensuring long term security and access
- 34. Few quality assurance and documentation standards
- 36. A outdated culture of data ownership rather than provision
- 38. Inter-centre Research Data Management Workshop agreed
- 39. Data provision and sharing should become an objective of the CG centres
- 40. Incentives to share data to be developed
- 42. Maximise value of other initiatives to collate studies by providing a facility for long term archiving and access
- 43. Provide links to other data sources, particularly those that put agriculture in context (environmental, social, economic)
- 44. Develop methods to increase data generation efficiency
- 45. Support development of national and regional data generation and integration services
- 49. Definitions
- 50. Longitudinal and panel dataNatural resources Consumption and welfare Production and markets Standards and methods Intersector integration Archiving and access
- 52. Methods that build on other wide scale surveys
- 53. Rapid methods for key indicators (avoiding the 40 page questionnaire)Standards and methods Intersector integration Archiving and access
- 55. Codebooks
- 57. Linking to other data sourcesStandards and methods Intersector integration Archiving and access
- 59. Confidentiality
- 60. Ownership and other IP issuesPhysical archive and means of access Long term secure archive Catalogues, visualisation of coverages Retrieval and dissemination Natural resources Consumption and welfare Production and markets Standards and methods Intersector integration Archiving and access
- 63. Problems:
- 64. confounders
- 65. multiple causes
- 67. feedback and time scalesAt-1 At A At+1 Bt-1 Bt B Bt+1 C Ct-1 Ct Ct+1
- 69. II. CASE STUDIES A. Rangeland Management Australia / NSW: = Sheep # = Social drivers & responses Global Sub-regional Networking (reciprocity, knowledge exchange) Political organizing Scale of Drivers & Responses Expansion of watering points to access new rangeland; reduced stocking density Local 1860 Time 2000
- 70. II. CASE STUDIES A. Rangeland Management Australia / NSW: = Sheep # Korean War (wool $$) = Political-economic drivers & responses Global Price support ends Rural political dominance Urban dominance, “Closer Settlement” Scale of Drivers & Responses Strong economy Publicly funded water supplies / stock routes Local 1860 Time 2000
- 72. Starts with the conceptual frame…
- 73. Leads to numerous proposed components, links, processes