This document discusses data management strategies at CGIAR Research Program on Dryland Systems. It notes that data from experiments is often stored in files but not shared, resulting in low usage. The strategy presented involves curating data and making it accessible online through an open source dataverse network. This allows data to be shared, accessed by all as a public good, and ensures high standards for data quality, curation and access. Examples shown include agricultural data from various projects displayed and available for download through interactive tables, maps and charts.

1. Abhishek Rathore
Senior Scientist (Biometrics)
Email: a.rathore@cgiar.org
Data Management, Analysis & Sharing (ICRISAT)
CGIAR Research Program on DrylandSystems
29thSeptember, 2014, Dubai, UAE

2. DATA
Experiments/ Research Station/ FPVS / FLD / LAB / Baseline Survey /Adoption Surveys and etc… AND Kept in IBP/FieldBooks, Agrobaseand etc.
Data Processing:
•Curation
•Analysis
•Interpretation
•Publication
After that?
•Case 1: Archival / Storage of Data 
•Case 2: Forgot, Lying in xlsfiles & Die with time 
•Case 3: Case 1 () but no sharing ()
Data Sharing?
Usual Project Dataflow

3. Most CommonRequests by email?
–Maynotfindwhenrequested(After3- 4years)!!!
–Verynarrowuserbasefordata
–OnlyactiveGooglersmayfindyou(ThroughPublications?)
–Highprobabilityofdataloss!
We Share Data!

4. DATA
Experiments/ Research Station/ FPVS / FLD / LAB / Baseline Survey /Adoption Surveys and etc… AND Kept in IBP/FieldBooks, Agrobaseand etc.
Data Processing:
•Curation
•Analysis
•Interpretation
•Publication
After that?
•Case 1: Archival / Storage of Data 
•Case 2: Forgot, Lying in xlsfiles & Die with time 
•Case 3: Case 1 () but no sharing ()
Data Sharing?
Data Sharing?
Research Resources & Generated Data Not Used to
Full Potential !

5. ICRISAT Data Management Strategy
Data Curators
Data Manager

6. Desired Way
•MustHaves
–Sharedinonlinerepositories
–AccessibletoeverybodyasIPG
–DataQualityEnsured
–HighStandersofDataCuration
–CompressedFiles/RawData
–LinkstoPublications
•Goodtohave
–SummaryTables(variousperspectives)
–DataQueryingTool
–SaySuccessStory
–PointtoLessonLearned
–Showimpact
We Share Data!
60-70% Time
GIGO

7. Data Quality: Little Complicated
–SupervisedAlgorithms/Scripts
•SAS,R,GenStat
–Leverage
–Cook’sD
–ResidualAnalysis
–DiagnosticPlots
–Rep/Season-Rep/Seasondifference
–TextPatternSearch
–OtherDatasepecific

8. Wish to have…
•Auserfriendlybrowse-ableonlinesystem
–Givesinformationinaglance
–GraphicalrepresentationofStory
–Completeinsightintodata
•WithavailabilityofRaw/Meandata
•Subsetselectionanddownload
•Maintenancefree(PIsubmits&forget),Cloude?
•Usercontroloverwhatisbeingshared?
–Canshareonlyfewvarietiesforfewlocation
•Andinwhatform(*.xls,jpeg,pdfetc?
We Share Data!

9. Achieved !!!

10. Must Have
CRP-DS Dataverse

11. ICRISAT DataverseNetwork -Open Source

12. ICRISAT DataverseNetwork -Open Source

13. ICRISAT DataverseNetwork -Open Source

14. Database @ ICRISAT Projects
Tropical Legumes-II

15. 1 year more education
Double the months
on the farm per year
The Simultaneous Triple-View of any data: Table, Map, Chart

16. Malawi Baseline Survey:
Crop Utilization

17. Tanzania Baseline Survey:
Crop Utilization

18. TL-II Trials (Station/FPVS)

19. India & Bangladesh Trials
Comparing LOCAL variety performance summary.

20. Improved Varieties
Summary of Improved Variety Performance

21. Create LOCAL and IMPROVED
Summary Variables

22. Calculate Comparisons:
Improved to Local Performance Ratio

23. Database @ ICRISAT Projects
HOPE

24. Grain Yield
Village wise
local vsImproved varieties

25. Follow-up (Pooled over Districts)
local vsImproved varieties

26. Follow-up (Year Wise)
local vsImproved varieties
Download selected Subset of data

27. Follow-up (Year Wise)
local vsImproved varieties
Precipitation
Download selected Subset of data

28. Good & Wish to Have
CRP-DS aWhere

30. Quantity of Fertilizer Used: http://apps.awhere.com/reader/Default.aspx?id=wSSIU7DkTE6L6O-enOxanQ
Income Comparison: http://apps.awhere.com/reader/Default.aspx?id=KFCQG-O3e0i9lQsbbwerjA
Economy:
http://apps.awhere.com/reader/Default.aspx?id=VwkQAtCdAEmIRPOZiHN94w
Land Size:
http://apps.awhere.com/reader/Default.aspx?id=ThKD4aciLEGkYksBFDaszg
Crop Input/OutputDistance:
http://apps.awhere.com/reader/Default.aspx?id=7pxWd3P3N0GKdjseBnq31A

31. Thanks…
For more details please contact:
Dr. Abhishek Rathore
a.rathore@cgiar.org