Data Management_Plan_TL III Annual Meet

1. Data Management Plans
Tropical Legumes-III
(4th March, 2016)
Abhishek Rathore (Senior Scientist)
Statistics, Bioinformatics & Data Management Unit
ICRISAT, Patancheru
a.rathore@cgiar.org
TL III Annual Meeting
Livingstone, Zambia

2. Data Management Pipeline
Data Archiving & Sharing
Valid Interpretation & Publication of Results
Statistical Modelling & Data Analysis
Data Curation Process
Data Captured and Stored Centrally
Data Capture Protocols / Crop Ontologies / Scales
Field/Lab Books (Electronic)
Designing of Experiment
Project Planning Meeting

3. TL-III Data Management
Progress (Aug 2015 to Now)
– Partners Trained in BMS
• EIAR, Debre Zeit, Ethiopia (19th-23rd, Oct 2015)
– Credentials created
• Dr. Omari Mponda & Colleages
– 18 Data Sets / Field Books
• Dr. Babu Motagi and Colleagues
– 9 data sets
– Cloud Based BMS
– Similar to email account
– Access Data Anywhere
– Automatic backup
– Data Repositories
• Dataverse
• aWhere

4. TL-III Data Management Support
Planned
– Experimental designs generated in BMS
cloud account for partners (where required,
but communicated)
– Partners will be able to download
• Experimental design
• Field books and field maps
– Collect & upload data in BMS cloud
– Support on pedigree migration to BMS
– Data collected with geospatial tags
– Field photographs
– Weather data if available

5. TL-III Data Management Support
Proposed for 2016
Based on Resources available
– Annual Data Analysis Workshops
• With annual/regional meetings
• Ensure all data analyzed in time & reported
• Available for reporting and M&E
– Other generated data sets
• Farmers Participatory Variety Selection (FPVS)
• SNP etc. will be maintained in respective
customized repositories

6. TL-III Data Management Support
Available to Project Partners
–Experimental Designing
–Data Capture and BMS
–Data Curation
–Data Analysis
• Phenotypic (GxE, Spatial etc)
• Genotypic (GWAS, GS, Molecular
Diversity etc)
• Any other relevant to project
–Help in Interpretation

7. TL-III Data Management
Socio-economic Data
– Once data is made available
– Questionnaire will be mapped to a
spatial data base (aWhere or ARCWeb
GIS)
– Collected data will be cleaned &
maintained at Dataverse

12. Seed System?

17. ICRISAT is a member of the CGIAR Consortium