Village Dynamics Studies

Knowledge Bank:

An Overview

Presented during workshop on “An Orientation to Data Management Platforms for Agricultural Research & Extension”, 5-6 Dec, 2013

Anupama GV

Uttam Kumar Deb

Ravi Chand K

Elias Khan Patan

MCS Bantilan

• ICRISAT views small farms as a business

entity and committed to promote IMOD

• The Knowledge bank is developed using

Microsoft SQL Server and Microsoft

Business Intelligence tools

• First of its kind in the CGIAR system

• First in the world for management of rural

household survey data

• Provide easy access to panel data with

online analytical and processing (OLAP)

features

VDSA Knowledge bank

VDS Knowledge Bank:

On-line Repository of Panel Data

Village Dynamics Studies try to understand rural dynamics using Long-term Panel Data

• Household level

• Village level

• District level

and provide insights from grass roots for informed policy making

Location of 42 VDS villages:

SAT India, East India and Bangladesh

• A: Household Census Schedule

• GES: General Endowment Schedule

• D: Plot List and Cropping Pattern Module

• K: Employment Module

• L: Transaction Module

• M: Monthly Price Module

• Y: Cultivation Module

• Z: Livestock Module

• Daily Rainfall Data

Modules for VDSA Household Survey

Existing System

• Data are in Excel, ASCI, CSPro

• Data manuals are in PDF, Word

• Available through VDSA webpage

• Data extraction and analysis is time consuming

• No scope for data mining

VDSA Data Users During the last two

years (December

2011 to November

2013)

• 428 unique users

from 24 countries

of Asia, Africa,

Europe and North

America have

down loaded

newly released

data.

• These include 219 students from 95

universities in 24 countries including 103

PhD. students.

Features of the Knowledge bank

• On Line Analytical Processing (OLAP)

Facilities

• Summary reports

• User Defined Reports

• Raw data access

• Drill down features from country level to

plot level

• Supports decision making system

• Web enabled front end

• Project management tools

• User Manual

• FAQs

Features of the Knowledge bank

User-friendly data retrieval system

Features of the Knowledge bank User-friendly data retrieval system

Summary Reports / Canned Reports

Summary Reports / Canned Reports

Number of Reports: 17

• Rainfall

• Land ownership

• Cropping pattern

• Income, by sources and class

• Costs and Returns

• Wage rate for Male and Female

• Sources of Information

• Consumption and expenditure on food and

non-food items

• Asset ownership and value

Rainfall in Aurepalle: 1975 to 2013

Rainfall (mm) Summary, Aurepalle: 2012-13

Jul Sept Nov Dec Jan Feb Mar Apr May

145 107 53 0 0 67 0 24 15

155 18 0 0 0 0 3 74 20

56 133 66

14 121 43Previous Year

(2011-2012)

Jun Aug Oct

Present Year

(2012-2013)

Total rainfall in Oct to Jan 118.80

Total rainfall in Feb to May 106.00

First rainy day 9/7/2012

Total no of rainy days 51

No of rainy days in rainy season

(June to Sept)

34

Total rainfall in June ot Sept 440.60

Particulars for Year 2012 - 2013 Values

Total Annual rainfall 665.40

Average monthly rainfall 55.45

Weekly Rainfall (mm) Summary

Cropping Pattern in Kalman: 2011 Rabi Season Country

State/Region

District

Village

Season

Year

Crops Area (Ha)

Chickpea 0.10

Sorghum 6.27

Wheat 0.20

Chickpea 0.81

Sorghum 18.51

Wheat 0.51

Chickpea 0.30

Sorghum 26.41

Wheat 0.30

Chickpea 0.20

Sorghum 3.18

Wheat 0.40

Labour 5.34

83.99

10.67

Medium 4.08

93.37

2.55

Small 1.12

97.75

1.12

2011

Farm Size Percentage

Large 1.54

95.38

3.08

India

Maharashtra

Solapur

Kalman

Rabi

Citation: VDSA (2013). Village Dynamics in South Asia (VDSA) database, generated by ICRISAT/IRRI/NCAP in partnership with national institutes in India and Bangladesh. (http://vdsa.icrisat.ac.in).

Number of records skipped in above calculation:

0

User Defined

Reports

User Defined Reports

User Defined Reports

• Number of Reports: 40

• Investment

• Government development programs

• Stock inventory

• Farmer’s behaviour

• Coping mechanisms

• Profitability in crop and livestock farming

• Employment

• Prices of essential commodities and agricultural

inputs

User Defined Reports

User Defined Reports

User Defined Reports

Project Management

Tools

• ETL Success failure ratio - Pie chart for

success and failure ratio

• User Registration - Bar chart for New

user registration under each user roles

• Usage Statistics - Bar chart of top 10

reports executed by the user

• Data Upload - Table with recent 20

successful data uploads

Project Management – VDSA Data Users

Project Management – Usage Statistics

Project Management – Project Tracking

Project Implementation

• Discovery

• High Level Design

Phase 1

• Detail Design

• Development

• Unit test

• System Integration test

Phase 2 • UAT

Deployment support

• UAT

Phase 3

• Production Deployment support

• Go-live,Training

Phase 4 • Post Go-live

Stabilization support

Phase 5

Phase I - Activities

• Orienting Sonata about VDSA data

• Developing the SRS

• Data organizing

• Following protocols

• Unique id development

Phase II - Activities

• Developing integrated tables and structures

across the regions and generations.

• Data cleansing for ETL

• Development of data Dictionary

• Organizing data as per dictionary.

• Code files linking variables and codes

• Developing the business rules to generate

canned reports

Phase III - Activities

• Preparation of test cases for summary

reports

• Testing the reports against prepared test

cases

• Reporting bugs

• Re-testing after bugs fixing

Phase IV - Activities

• Learning ETL process

• Running the ETL

• Packages execution and cube processing

• Users training

• Administrator training